Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
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use std::{io::Write, path::PathBuf};
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2024-03-07 13:01:30 +01:00
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use chrono::{DateTime, FixedOffset};
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2024-02-18 13:20:22 +01:00
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use nu_protocol::{ast::PathMember, record, Span, Value};
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
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use nu_test_support::{
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fs::{line_ending, Stub},
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nu, pipeline,
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playground::{Dirs, Playground},
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};
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use rand::{
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distributions::{Alphanumeric, DistString, Standard},
|
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prelude::Distribution,
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rngs::StdRng,
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Rng, SeedableRng,
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};
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#[test]
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fn into_sqlite_schema() {
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Playground::setup("schema", |dirs, _| {
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let testdb = make_sqlite_db(
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&dirs,
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r#"[
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[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary];
|
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[true, 1, 2.0, 1kb, 1sec, "2023-09-10 11:30:00", "foo", ("binary" | into binary)],
|
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[false, 2, 3.0, 2mb, 4wk, "2020-09-10 12:30:00", "bar", ("wut" | into binary)],
|
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]"#,
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);
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let conn = rusqlite::Connection::open(testdb).unwrap();
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let mut stmt = conn.prepare("SELECT * FROM pragma_table_info(?1)").unwrap();
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let actual_rows: Vec<_> = stmt
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.query_and_then(["main"], |row| -> rusqlite::Result<_, rusqlite::Error> {
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let name: String = row.get("name").unwrap();
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let col_type: String = row.get("type").unwrap();
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Ok((name, col_type))
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})
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.unwrap()
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.map(|row| row.unwrap())
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.collect();
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let expected_rows = vec![
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("somebool".into(), "BOOLEAN".into()),
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("someint".into(), "INTEGER".into()),
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("somefloat".into(), "REAL".into()),
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("somefilesize".into(), "INTEGER".into()),
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("someduration".into(), "BIGINT".into()),
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("somedate".into(), "TEXT".into()),
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("somestring".into(), "TEXT".into()),
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("somebinary".into(), "BLOB".into()),
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];
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assert_eq!(expected_rows, actual_rows);
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});
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}
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#[test]
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fn into_sqlite_values() {
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Playground::setup("values", |dirs, _| {
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insert_test_rows(
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&dirs,
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r#"[
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
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[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary, somenull];
|
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|
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[true, 1, 2.0, 1kb, 1sec, "2023-09-10T11:30:00-00:00", "foo", ("binary" | into binary), 1],
|
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[false, 2, 3.0, 2mb, 4wk, "2020-09-10T12:30:00-00:00", "bar", ("wut" | into binary), null],
|
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]"#,
|
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None,
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vec![
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TestRow(
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true,
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1,
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2.0,
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1000,
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1000000000,
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DateTime::parse_from_rfc3339("2023-09-10T11:30:00-00:00").unwrap(),
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"foo".into(),
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b"binary".to_vec(),
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rusqlite::types::Value::Integer(1),
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),
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TestRow(
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false,
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2,
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3.0,
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2000000,
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2419200000000000,
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DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
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"bar".into(),
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b"wut".to_vec(),
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rusqlite::types::Value::Null,
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),
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],
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);
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});
|
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}
|
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/// When we create a new table, we use the first row to infer the schema of the
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/// table. In the event that a column is null, we can't know what type the row
|
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/// should be, so we just assume TEXT.
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#[test]
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fn into_sqlite_values_first_column_null() {
|
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Playground::setup("values", |dirs, _| {
|
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insert_test_rows(
|
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&dirs,
|
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|
|
r#"[
|
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[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary, somenull];
|
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|
[false, 2, 3.0, 2mb, 4wk, "2020-09-10T12:30:00-00:00", "bar", ("wut" | into binary), null],
|
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[true, 1, 2.0, 1kb, 1sec, "2023-09-10T11:30:00-00:00", "foo", ("binary" | into binary), 1],
|
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|
|
]"#,
|
|
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None,
|
|
|
|
vec![
|
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TestRow(
|
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false,
|
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2,
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3.0,
|
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2000000,
|
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2419200000000000,
|
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DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
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"bar".into(),
|
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b"wut".to_vec(),
|
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rusqlite::types::Value::Null,
|
|
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|
),
|
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TestRow(
|
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|
true,
|
|
|
|
1,
|
|
|
|
2.0,
|
|
|
|
1000,
|
|
|
|
1000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2023-09-10T11:30:00-00:00").unwrap(),
|
|
|
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"foo".into(),
|
|
|
|
b"binary".to_vec(),
|
|
|
|
rusqlite::types::Value::Text("1".into()),
|
|
|
|
),
|
|
|
|
],
|
|
|
|
);
|
|
|
|
});
|
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|
|
}
|
|
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/// If the DB / table already exist, then the insert should end up with the
|
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/// right data types no matter if the first row is null or not.
|
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#[test]
|
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|
fn into_sqlite_values_first_column_null_preexisting_db() {
|
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|
Playground::setup("values", |dirs, _| {
|
|
|
|
insert_test_rows(
|
|
|
|
&dirs,
|
|
|
|
r#"[
|
|
|
|
[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary, somenull];
|
|
|
|
[true, 1, 2.0, 1kb, 1sec, "2023-09-10T11:30:00-00:00", "foo", ("binary" | into binary), 1],
|
|
|
|
[false, 2, 3.0, 2mb, 4wk, "2020-09-10T12:30:00-00:00", "bar", ("wut" | into binary), null],
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
]"#,
|
|
|
|
None,
|
|
|
|
vec![
|
|
|
|
TestRow(
|
|
|
|
true,
|
|
|
|
1,
|
|
|
|
2.0,
|
|
|
|
1000,
|
|
|
|
1000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2023-09-10T11:30:00-00:00").unwrap(),
|
|
|
|
"foo".into(),
|
|
|
|
b"binary".to_vec(),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value::Integer(1),
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
),
|
|
|
|
TestRow(
|
|
|
|
false,
|
|
|
|
2,
|
|
|
|
3.0,
|
|
|
|
2000000,
|
|
|
|
2419200000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
|
|
|
"bar".into(),
|
|
|
|
b"wut".to_vec(),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value::Null,
|
|
|
|
),
|
|
|
|
],
|
|
|
|
);
|
|
|
|
|
|
|
|
insert_test_rows(
|
|
|
|
&dirs,
|
|
|
|
r#"[
|
|
|
|
[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary, somenull];
|
|
|
|
[true, 3, 5.0, 3.1mb, 1wk, "2020-09-10T12:30:00-00:00", "baz", ("huh" | into binary), null],
|
|
|
|
[true, 3, 5.0, 3.1mb, 1wk, "2020-09-10T12:30:00-00:00", "baz", ("huh" | into binary), 3],
|
|
|
|
]"#,
|
|
|
|
None,
|
|
|
|
vec![
|
|
|
|
TestRow(
|
|
|
|
true,
|
|
|
|
1,
|
|
|
|
2.0,
|
|
|
|
1000,
|
|
|
|
1000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2023-09-10T11:30:00-00:00").unwrap(),
|
|
|
|
"foo".into(),
|
|
|
|
b"binary".to_vec(),
|
|
|
|
rusqlite::types::Value::Integer(1),
|
|
|
|
),
|
|
|
|
TestRow(
|
|
|
|
false,
|
|
|
|
2,
|
|
|
|
3.0,
|
|
|
|
2000000,
|
|
|
|
2419200000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
|
|
|
"bar".into(),
|
|
|
|
b"wut".to_vec(),
|
|
|
|
rusqlite::types::Value::Null,
|
|
|
|
),
|
|
|
|
TestRow(
|
|
|
|
true,
|
|
|
|
3,
|
|
|
|
5.0,
|
|
|
|
3100000,
|
|
|
|
604800000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
|
|
|
"baz".into(),
|
|
|
|
b"huh".to_vec(),
|
|
|
|
rusqlite::types::Value::Null,
|
|
|
|
),
|
|
|
|
TestRow(
|
|
|
|
true,
|
|
|
|
3,
|
|
|
|
5.0,
|
|
|
|
3100000,
|
|
|
|
604800000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
|
|
|
"baz".into(),
|
|
|
|
b"huh".to_vec(),
|
|
|
|
rusqlite::types::Value::Integer(3),
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
),
|
|
|
|
],
|
|
|
|
);
|
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Opening a preexisting database should append to it
|
|
|
|
#[test]
|
|
|
|
fn into_sqlite_existing_db_append() {
|
|
|
|
Playground::setup("existing_db_append", |dirs, _| {
|
|
|
|
// create a new DB with only one row
|
|
|
|
insert_test_rows(
|
|
|
|
&dirs,
|
|
|
|
r#"[
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary, somenull];
|
|
|
|
[true, 1, 2.0, 1kb, 1sec, "2023-09-10T11:30:00-00:00", "foo", ("binary" | into binary), null],
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
]"#,
|
|
|
|
None,
|
|
|
|
vec![TestRow(
|
|
|
|
true,
|
|
|
|
1,
|
|
|
|
2.0,
|
|
|
|
1000,
|
|
|
|
1000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2023-09-10T11:30:00-00:00").unwrap(),
|
|
|
|
"foo".into(),
|
|
|
|
b"binary".to_vec(),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value::Null,
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
)],
|
|
|
|
);
|
|
|
|
|
|
|
|
// open the same DB again and write one row
|
|
|
|
insert_test_rows(
|
|
|
|
&dirs,
|
|
|
|
r#"[
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
[somebool, someint, somefloat, somefilesize, someduration, somedate, somestring, somebinary, somenull];
|
|
|
|
[false, 2, 3.0, 2mb, 4wk, "2020-09-10T12:30:00-00:00", "bar", ("wut" | into binary), null],
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
]"#,
|
|
|
|
None,
|
|
|
|
// it should have both rows
|
|
|
|
vec![
|
|
|
|
TestRow(
|
|
|
|
true,
|
|
|
|
1,
|
|
|
|
2.0,
|
|
|
|
1000,
|
|
|
|
1000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2023-09-10T11:30:00-00:00").unwrap(),
|
|
|
|
"foo".into(),
|
|
|
|
b"binary".to_vec(),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value::Null,
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
),
|
|
|
|
TestRow(
|
|
|
|
false,
|
|
|
|
2,
|
|
|
|
3.0,
|
|
|
|
2000000,
|
|
|
|
2419200000000000,
|
|
|
|
DateTime::parse_from_rfc3339("2020-09-10T12:30:00-00:00").unwrap(),
|
|
|
|
"bar".into(),
|
|
|
|
b"wut".to_vec(),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value::Null,
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
),
|
|
|
|
],
|
|
|
|
);
|
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Test inserting a good number of randomly generated rows to test an actual
|
|
|
|
/// streaming pipeline instead of a simple value
|
|
|
|
#[test]
|
|
|
|
fn into_sqlite_big_insert() {
|
|
|
|
Playground::setup("big_insert", |dirs, playground| {
|
|
|
|
const NUM_ROWS: usize = 10_000;
|
|
|
|
const NUON_FILE_NAME: &str = "data.nuon";
|
|
|
|
|
|
|
|
let nuon_path = dirs.test().join(NUON_FILE_NAME);
|
|
|
|
|
|
|
|
playground.with_files(vec![Stub::EmptyFile(&nuon_path.to_string_lossy())]);
|
|
|
|
|
|
|
|
let mut expected_rows = Vec::new();
|
|
|
|
let mut nuon_file = std::fs::OpenOptions::new()
|
|
|
|
.write(true)
|
|
|
|
.open(&nuon_path)
|
|
|
|
.unwrap();
|
|
|
|
|
|
|
|
// write the header
|
|
|
|
for row in std::iter::repeat_with(TestRow::random).take(NUM_ROWS) {
|
|
|
|
let mut value: Value = row.clone().into();
|
|
|
|
|
|
|
|
// HACK: Convert to a string to get around this: https://github.com/nushell/nushell/issues/9186
|
|
|
|
value
|
|
|
|
.upsert_cell_path(
|
|
|
|
&[PathMember::String {
|
|
|
|
val: "somedate".into(),
|
|
|
|
span: Span::unknown(),
|
|
|
|
optional: false,
|
|
|
|
}],
|
2024-02-17 19:14:16 +01:00
|
|
|
Box::new(|dateval| {
|
|
|
|
Value::string(dateval.coerce_string().unwrap(), dateval.span())
|
|
|
|
}),
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
)
|
|
|
|
.unwrap();
|
|
|
|
|
add "to nuon" enumeration of possible styles (#12591)
# Description
in order to change the style of the _serialized_ NUON data,
`nuon::to_nuon` takes three mutually exclusive arguments, `raw: bool`,
`tabs: Option<usize>` and `indent: Option<usize>` :thinking:
this begs to use an enumeration with all possible alternatives, right?
this PR changes the signature of `nuon::to_nuon` to use `nuon::ToStyle`
which has three variants
- `Raw`: no newlines
- `Tabs(n: usize)`: newlines and `n` tabulations as indent
- `Spaces(n: usize)`: newlines and `n` spaces as indent
# User-Facing Changes
the signature of `nuon::to_nuon` changes from
```rust
to_nuon(
input: &Value,
raw: bool,
tabs: Option<usize>,
indent: Option<usize>,
span: Option<Span>,
) -> Result<String, ShellError>
```
to
```rust
to_nuon(
input: &Value,
style: ToStyle,
span: Option<Span>
) -> Result<String, ShellError>
```
# Tests + Formatting
# After Submitting
2024-04-20 11:40:52 +02:00
|
|
|
let nuon = nuon::to_nuon(&value, nuon::ToStyle::Raw, Some(Span::unknown())).unwrap()
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
+ &line_ending();
|
|
|
|
|
|
|
|
nuon_file.write_all(nuon.as_bytes()).unwrap();
|
|
|
|
expected_rows.push(row);
|
|
|
|
}
|
|
|
|
|
|
|
|
insert_test_rows(
|
|
|
|
&dirs,
|
|
|
|
&format!(
|
|
|
|
"open --raw {} | lines | each {{ from nuon }}",
|
|
|
|
nuon_path.to_string_lossy()
|
|
|
|
),
|
|
|
|
None,
|
|
|
|
expected_rows,
|
|
|
|
);
|
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
/// empty in, empty out
|
|
|
|
#[test]
|
|
|
|
fn into_sqlite_empty() {
|
|
|
|
Playground::setup("empty", |dirs, _| {
|
|
|
|
insert_test_rows(&dirs, r#"[]"#, Some("SELECT * FROM sqlite_schema;"), vec![]);
|
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
#[derive(Debug, PartialEq, Clone)]
|
|
|
|
struct TestRow(
|
|
|
|
bool,
|
|
|
|
i64,
|
|
|
|
f64,
|
|
|
|
i64,
|
|
|
|
i64,
|
|
|
|
chrono::DateTime<chrono::FixedOffset>,
|
|
|
|
std::string::String,
|
|
|
|
std::vec::Vec<u8>,
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value,
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
);
|
|
|
|
|
|
|
|
impl TestRow {
|
|
|
|
pub fn random() -> Self {
|
|
|
|
StdRng::from_entropy().sample(Standard)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
impl From<TestRow> for Value {
|
|
|
|
fn from(row: TestRow) -> Self {
|
|
|
|
Value::record(
|
2024-02-18 13:20:22 +01:00
|
|
|
record! {
|
|
|
|
"somebool" => Value::bool(row.0, Span::unknown()),
|
|
|
|
"someint" => Value::int(row.1, Span::unknown()),
|
|
|
|
"somefloat" => Value::float(row.2, Span::unknown()),
|
|
|
|
"somefilesize" => Value::filesize(row.3, Span::unknown()),
|
|
|
|
"someduration" => Value::duration(row.4, Span::unknown()),
|
|
|
|
"somedate" => Value::date(row.5, Span::unknown()),
|
|
|
|
"somestring" => Value::string(row.6, Span::unknown()),
|
|
|
|
"somebinary" => Value::binary(row.7, Span::unknown()),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
"somenull" => Value::nothing(Span::unknown()),
|
2024-02-18 13:20:22 +01:00
|
|
|
},
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
Span::unknown(),
|
|
|
|
)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
impl<'r> TryFrom<&rusqlite::Row<'r>> for TestRow {
|
|
|
|
type Error = rusqlite::Error;
|
|
|
|
|
|
|
|
fn try_from(row: &rusqlite::Row) -> Result<Self, Self::Error> {
|
|
|
|
let somebool: bool = row.get("somebool").unwrap();
|
|
|
|
let someint: i64 = row.get("someint").unwrap();
|
|
|
|
let somefloat: f64 = row.get("somefloat").unwrap();
|
|
|
|
let somefilesize: i64 = row.get("somefilesize").unwrap();
|
|
|
|
let someduration: i64 = row.get("someduration").unwrap();
|
|
|
|
let somedate: DateTime<FixedOffset> = row.get("somedate").unwrap();
|
|
|
|
let somestring: String = row.get("somestring").unwrap();
|
|
|
|
let somebinary: Vec<u8> = row.get("somebinary").unwrap();
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
let somenull: rusqlite::types::Value = row.get("somenull").unwrap();
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
|
|
|
|
Ok(TestRow(
|
|
|
|
somebool,
|
|
|
|
someint,
|
|
|
|
somefloat,
|
|
|
|
somefilesize,
|
|
|
|
someduration,
|
|
|
|
somedate,
|
|
|
|
somestring,
|
|
|
|
somebinary,
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
somenull,
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
))
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
impl Distribution<TestRow> for Standard {
|
|
|
|
fn sample<R>(&self, rng: &mut R) -> TestRow
|
|
|
|
where
|
|
|
|
R: rand::Rng + ?Sized,
|
|
|
|
{
|
2024-03-07 13:01:30 +01:00
|
|
|
let dt = DateTime::from_timestamp_millis(rng.gen_range(0..2324252554000))
|
|
|
|
.unwrap()
|
|
|
|
.fixed_offset();
|
|
|
|
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
let rand_string = Alphanumeric.sample_string(rng, 10);
|
|
|
|
|
|
|
|
// limit the size of the numbers to work around
|
|
|
|
// https://github.com/nushell/nushell/issues/10612
|
|
|
|
let filesize = rng.gen_range(-1024..=1024);
|
|
|
|
let duration = rng.gen_range(-1024..=1024);
|
|
|
|
|
|
|
|
TestRow(
|
|
|
|
rng.gen(),
|
|
|
|
rng.gen(),
|
|
|
|
rng.gen(),
|
|
|
|
filesize,
|
|
|
|
duration,
|
|
|
|
dt,
|
|
|
|
rand_string,
|
|
|
|
rng.gen::<u64>().to_be_bytes().to_vec(),
|
into sqlite: Fix insertion of null values (#12328)
# Description
In #10232, the allowed input types were changed to be stricter, only
allowing records with types that can easily map onto sqlite equivalents.
Unfortunately, null was left out of the accepted input types, which
makes inserting rows with null values impossible.
This change fixes that by accepting null values as input.
One caveat of this is that when the command is creating a new table, it
uses the first row to infer an appropriate sqlite schema. If the first
row contains a null value, then it is impossible to tell which type this
column is supposed to have.
Throwing a hard error seems undesirable from a UX perspective, but
guessing can lead to a potentially useless database if we guess wrong.
So as a compromise, for null columns, we will assume the sqlite type is
TEXT and print a warning so the user knows. For the time being, if users
can't avoid a first row with null values, but also wants the right
schema, they are advised to create their table before running `into
sqlite`.
A future PR can add the ability to explicitly specify a schema.
Fixes #12225
# Tests + Formatting
* Tests added to cover expected behavior around insertion of null values
2024-03-29 12:41:16 +01:00
|
|
|
rusqlite::types::Value::Null,
|
Fix memory consumption of into sqlite (#10232)
# Description
Currently, the `into sqlite` command collects the entire input stream
into a single Value, which soaks up the entire input into memory, before
it ever tries to write anything to the DB. This is very problematic for
large inputs; for example, I tried transforming a multi-gigabyte CSV
file into SQLite, and before I knew what was happening, my system's
memory was completely exhausted, and I had to hard reboot to recover.
This PR fixes this problem by working directly with the pipeline stream,
inserting into the DB as values are read from the stream.
In order to facilitate working with the stream directly, I introduced a
new `Table` struct to store the connection and a few configuration
parameters, as well as to make it easier to lazily create the table on
the first read value.
In addition to the purely functional fixes, a few other changes were
made to the serialization and user facing behavior.
### Serialization
Much of the preexisting code was focused on generating the exact text
needed for a SQL statement. This is unneeded and less safe than using
the `rusqlite` crate's serialization for native Rust types along with
prepared statements.
### User-Facing Changes
Currently, the command is very liberal in the input types it accepts.
The strategy is basically if it is a record, try to follow its structure
and make an analogous SQL row, which is pretty reasonable. However, when
it's not a record, it basically tries to guess what the user wanted and
just makes a single column table and serializes the value into that one
column, whatever type it may be.
This has been changed so that it only accepts records as input. If the
user wants to serialize non-record types into SQL, then they must
explicitly opt into doing this by constructing a record or table with it
first. For a utility for inserting data into SQL, I think it makes more
sense to let the user choose how to convert their data, rather than make
a choice for them that may surprise them.
However, I understand this may be a controversial change. If the
maintainers don't agree, I can change this back.
#### Long switch names
The `file_name` and `table_name` long form switches are currently
snake_case and expect to be as such at the command line. These have been
changed to kebab-case to be more conventional.
# Tests + Formatting
To test the memory consumption, I used [this publicly available index of
all Wikipedia articles](https://dumps.wikimedia.org/enwiki/20230820/),
using the first 10,000, 100,000, and 1,000,000 entries, in that order. I
ran the following script to benchmark the changes against the current
stable release:
```nu
#!/usr/bin/nu
# let shellbin = $"($env.HOME)/src/nushell/target/aarch64-linux-android/release/nu"
let shellbin = "nu"
const dbpath = 'enwiki-index.db'
[10000, 100000, 1000000]
| each {|rows|
rm -f $dbpath;
do { time -f '%M %e %U %S' $shellbin -c (
$"bzip2 -cdk ~/enwiki-20230820-pages-articles-multistream-index.txt.bz2
| head -n ($rows)
| lines
| parse '{offset}:{id}:{title}'
| update cells -c [offset, id] { into int }
| into sqlite ($dbpath)"
)
}
| complete
| get stderr
| str trim
| parse '{rss_max} {real} {user} {kernel}'
| update cells -c [rss_max] { $"($in)kb" | into filesize }
| update cells -c [real, user, kernel] { $"($in)sec" | into duration }
| insert rows $rows
| roll right
}
| flatten
| to nuon
```
This yields the following results
Current stable release:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|53.6 MiB|770ms|460ms|420ms|
|100000|209.6 MiB|6sec 940ms|3sec 740ms|4sec 380ms|
|1000000|1.7 GiB|1min 8sec 810ms|38sec 690ms|42sec 550ms|
This PR:
|rows|rss_max|real|user|kernel|
|-|-|-|-|-|
|10000|38.2 MiB|780ms|440ms|410ms|
|100000|39.8 MiB|6sec 450ms|3sec 530ms|4sec 160ms|
|1000000|39.8 MiB|1min 3sec 230ms|37sec 440ms|40sec 180ms|
# Note
I started this branch kind of at the same time as my others, but I
understand the feedback that smaller PRs are preferred. Let me know if
it would be better to split this up.
I do think the scope of the changes are on the bigger side even without
the behavior changes I mentioned, so I'm not sure if that will help this
particular PR very much, but I'm happy to oblige on request.
2024-01-16 04:41:25 +01:00
|
|
|
)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
fn make_sqlite_db(dirs: &Dirs, nu_table: &str) -> PathBuf {
|
|
|
|
let testdir = dirs.test();
|
|
|
|
let testdb_path =
|
|
|
|
testdir.join(testdir.file_name().unwrap().to_str().unwrap().to_owned() + ".db");
|
|
|
|
let testdb = testdb_path.to_str().unwrap();
|
|
|
|
|
|
|
|
let nucmd = nu!(
|
|
|
|
cwd: testdir,
|
|
|
|
pipeline(&format!("{nu_table} | into sqlite {testdb}"))
|
|
|
|
);
|
|
|
|
|
|
|
|
assert!(nucmd.status.success());
|
|
|
|
testdb_path
|
|
|
|
}
|
|
|
|
|
|
|
|
fn insert_test_rows(dirs: &Dirs, nu_table: &str, sql_query: Option<&str>, expected: Vec<TestRow>) {
|
|
|
|
let sql_query = sql_query.unwrap_or("SELECT * FROM main;");
|
|
|
|
let testdb = make_sqlite_db(dirs, nu_table);
|
|
|
|
|
|
|
|
let conn = rusqlite::Connection::open(testdb).unwrap();
|
|
|
|
let mut stmt = conn.prepare(sql_query).unwrap();
|
|
|
|
|
|
|
|
let actual_rows: Vec<_> = stmt
|
|
|
|
.query_and_then([], |row| TestRow::try_from(row))
|
|
|
|
.unwrap()
|
|
|
|
.map(|row| row.unwrap())
|
|
|
|
.collect();
|
|
|
|
|
|
|
|
assert_eq!(expected, actual_rows);
|
|
|
|
}
|