Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[split/1] split datafusion-common module #1751

Merged
merged 5 commits into from
Feb 7, 2022
Merged

Conversation

jimexist
Copy link
Member

@jimexist jimexist commented Feb 5, 2022

Which issue does this PR close?

Rationale for this change

What changes are included in this PR?

Are there any user-facing changes?

@github-actions github-actions bot added the datafusion Changes in the datafusion crate label Feb 5, 2022
@jimexist jimexist changed the title split datafusion-common module [split/1] split datafusion-common module Feb 6, 2022
Co-authored-by: Andy Grove <agrove@apache.org>
datafusion/Cargo.toml Outdated Show resolved Hide resolved
datafusion/Cargo.toml Outdated Show resolved Hide resolved
datafusion-common/Cargo.toml Outdated Show resolved Hide resolved
@houqp
Copy link
Member

houqp commented Feb 7, 2022

After all the splits are done, our release automation would need to be updated to since we now have a lot more versions to bump for every new release :)

@jimexist
Copy link
Member Author

jimexist commented Feb 7, 2022

After all the splits are done, our release automation would need to be updated to since we now have a lot more versions to bump for every new release :)

I'll allow more 👀 s on this and probably only merge these after we do:

@alamb
Copy link
Contributor

alamb commented Feb 7, 2022

I'll allow more 👀 s on this and probably only merge these after we do:

FWIW I am thinking it would be at least another week before a new release is ready (we have some writing to do, etc). Maybe we should try to get this change in before hand?

Or maybe we should try and accelerate the pace of the release 🤔

Copy link
Contributor

@alamb alamb left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Thanks @jimexist -- seems like there are lots of good things to come

@jimexist
Copy link
Member Author

jimexist commented Feb 7, 2022

Reference

yes in that case i'll merge this batch (10 prs) before the release within a week or so

@jimexist jimexist merged commit fe46a1e into master Feb 7, 2022
@jimexist jimexist deleted the datafusion-common branch February 7, 2022 13:29
@jimexist
Copy link
Member Author

jimexist commented Feb 7, 2022

thanks for reviewing @alamb and @houqp - next up is:

@alamb
Copy link
Contributor

alamb commented Feb 7, 2022

yes in that case i'll merge this batch (10 prs) before the release within a week or so

image

alamb added a commit that referenced this pull request Feb 15, 2022
* feat: add join type for logical plan display (#1674)

* (minor) Reduce memory manager and disk manager logs from `info!` to `debug!` (#1689)

* Move `information_schema` tests out of execution/context.rs to `sql_integration` tests (#1684)

* Move tests from context.rs to information_schema.rs

* Fix up tests to compile

* Move timestamp related tests out of context.rs and into sql integration test (#1696)

* Move some tests out of context.rs and into sql

* Move support test out of context.rs and into sql tests

* Fixup tests and make them compile

* Add `MemTrackingMetrics` to ease memory tracking for non-limited memory consumers (#1691)

* Memory manager no longer track consumers, update aggregatedMetricsSet

* Easy memory tracking with metrics

* use tracking metrics in SPMS

* tests

* fix

* doc

* Update datafusion/src/physical_plan/sorts/sort.rs

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* make tracker AtomicUsize

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* Implement TableProvider for DataFrameImpl (#1699)

* Add TableProvider impl for DataFrameImpl

* Add physical plan in

* Clean up plan construction and names construction

* Remove duplicate comments

* Remove unused parameter

* Add test

* Remove duplicate limit comment

* Use cloned instead of individual clone

* Reduce the amount of code to get a schema

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* Add comments to test

* Fix plan comparison

* Compare only the results of execution

* Remove println

* Refer to df_impl instead of table in test

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* Fix the register_table test to use the correct result set for comparison

* Consolidate group/agg exprs

* Format

* Remove outdated comment

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* refine test in repartition.rs & coalesce_batches.rs (#1707)

* Fuzz test for spillable sort (#1706)

* Lazy TempDir creation in DiskManager (#1695)

* Incorporate dyn scalar kernels (#1685)

* Rebase

* impl ToNumeric for ScalarValue

* Update macro to be based on

* Add floats

* Cleanup

* Newline

* add annotation for select_to_plan (#1714)

* Support `create_physical_expr` and `ExecutionContextState` or `DefaultPhysicalPlanner` for faster speed (#1700)

* Change physical_expr creation API

* Refactor API usage to avoid creating ExecutionContextState

* Fixup ballista

* clippy!

* Fix can not load parquet table form spark in datafusion-cli. (#1665)

* fix can not load parquet table form spark

* add Invalid file in log.

* fix fmt

* add upper bound for pub fn (#1713)

Signed-off-by: remzi <13716567376yh@gmail.com>

* Create SchemaAdapter trait to map table schema to file schemas (#1709)

* Create SchemaAdapter trait to map table schema to file schemas

* Linting fix

* Remove commented code

* approx_quantile() aggregation function (#1539)

* feat: implement TDigest for approx quantile

Adds a [TDigest] implementation providing approximate quantile
estimations of large inputs using a small amount of (bounded) memory.

A TDigest is most accurate near either "end" of the quantile range (that
is, 0.1, 0.9, 0.95, etc) due to the use of a scalaing function that
increases resolution at the tails. The paper claims single digit part
per million errors for q ≤ 0.001 or q ≥ 0.999 using 100 centroids, and
in practice I have found accuracy to be more than acceptable for an
apprixmate function across the entire quantile range.

The implementation is a modified copy of
https://github.com/MnO2/t-digest, itself a Rust port of [Facebook's C++
implementation]. Both Facebook's implementation, and Mn02's Rust port
are Apache 2.0 licensed.

[TDigest]: https://arxiv.org/abs/1902.04023
[Facebook's C++ implementation]: https://github.com/facebook/folly/blob/main/folly/stats/TDigest.h

* feat: approx_quantile aggregation

Adds the ApproxQuantile physical expression, plumbing & test cases.

The function signature is:

	approx_quantile(column, quantile)

Where column can be any numeric type (that can be cast to a float64) and
quantile is a float64 literal between 0 and 1.

* feat: approx_quantile dataframe function

Adds the approx_quantile() dataframe function, and exports it in the
prelude.

* refactor: bastilla approx_quantile support

Adds bastilla wire encoding for approx_quantile.

Adding support for this required modifying the AggregateExprNode proto
message to support propigating multiple LogicalExprNode aggregate
arguments - all the existing aggregations take a single argument, so
this wasn't needed before.

This commit adds "repeated" to the expr field, which I believe is
backwards compatible as described here:

	https://developers.google.com/protocol-buffers/docs/proto3#updating

Specifically, adding "repeated" to an existing message field:

	"For ... message fields, optional is compatible with repeated"

No existing tests needed fixing, and a new roundtrip test is included
that covers the change to allow multiple expr.

* refactor: use input type as return type

Casts the calculated quantile value to the same type as the input data.

* fixup! refactor: bastilla approx_quantile support

* refactor: rebase onto main

* refactor: validate quantile value

Ensures the quantile values is between 0 and 1, emitting a plan error if
not.

* refactor: rename to approx_percentile_cont

* refactor: clippy lints

* suppport bitwise and as an example (#1653)

* suppport bitwise and as an example

* Use $OP in macro rather than `&`

* fix: change signature to &dyn Array

* fmt

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* fix: substr - correct behaivour with negative start pos (#1660)

* minor: fix cargo run --release error (#1723)

* Convert boolean case expressions to boolean logic (#1719)

* Convert boolean case expressions to boolean logic

* Review feedback

* substitute `parking_lot::Mutex` for `std::sync::Mutex` (#1720)

* Substitute parking_lot::Mutex for std::sync::Mutex

* enable parking_lot feature in tokio

* Add Expression Simplification API (#1717)

* Add Expression Simplification API

* fmt

* Add tests and CI for optional pyarrow module (#1711)

* Implement other side of conversion

* Add test workflow

* Add (failing) tests

* Get unit tests passing

* Use python -m pip

* Debug LD_LIBRARY_PATH

* Set LIBRARY_PATH

* Update help with better info

* Update parking_lot requirement from 0.11 to 0.12 (#1735)

Updates the requirements on [parking_lot](https://github.com/Amanieu/parking_lot) to permit the latest version.
- [Release notes](https://github.com/Amanieu/parking_lot/releases)
- [Changelog](https://github.com/Amanieu/parking_lot/blob/master/CHANGELOG.md)
- [Commits](Amanieu/parking_lot@0.11.0...0.12.0)

---
updated-dependencies:
- dependency-name: parking_lot
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Prevent repartitioning of certain operator's direct children (#1731) (#1732)

* Prevent repartitioning of certain operator's direct children (#1731)

* Update ballista tests

* Don't repartition children of RepartitionExec

* Revert partition restriction on Repartition and Projection

* Review feedback

* Lint

* API to get Expr's type and nullability without a `DFSchema` (#1726)

* API to get Expr type and nullability without a `DFSchema`

* Add test

* publically export

* Improve docs

* Fix typos in crate documentation (#1739)

* add `cargo check --release` to ci (#1737)

* remote test

* Update .github/workflows/rust.yml

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>

* Move optimize test out of context.rs (#1742)

* Move optimize test out of context.rs

* Update

* use clap 3 style args parsing for datafusion cli (#1749)

* use clap 3 style args parsing for datafusion cli

* upgrade cli version

* Add partitioned_csv setup code to sql_integration test (#1743)

* use ordered-float 2.10 (#1756)

Signed-off-by: Andy Grove <agrove@apache.org>

* #1768 Support TimeUnit::Second in hasher (#1769)

* Support TimeUnit::Second in hasher

* fix linter

* format (#1745)

* Create built-in scalar functions programmatically (#1734)

* create build-in scalar functions programatically

Signed-off-by: remzi <13716567376yh@gmail.com>

* solve conflict

Signed-off-by: remzi <13716567376yh@gmail.com>

* fix spelling mistake

Signed-off-by: remzi <13716567376yh@gmail.com>

* rename to call_fn

Signed-off-by: remzi <13716567376yh@gmail.com>

* [split/1] split datafusion-common module (#1751)

* split datafusion-common module

* pyarrow

* Update datafusion-common/README.md

Co-authored-by: Andy Grove <agrove@apache.org>

* Update datafusion/Cargo.toml

* include publishing

Co-authored-by: Andy Grove <agrove@apache.org>

* fix: Case insensitive unquoted identifiers (#1747)

* move dfschema and column (#1758)

* add datafusion-expr module (#1759)

* move column, dfschema, etc. to common module (#1760)

* include window frames and operator into datafusion-expr (#1761)

* move signature, type signature, and volatility to split module (#1763)

* [split/10] split up expr for rewriting, visiting, and simplification traits (#1774)

* split up expr for rewriting, visiting, and simplification

* add docs

* move built-in scalar functions (#1764)

* split expr type and null info to be expr-schemable (#1784)

* rewrite predicates before pushing to union inputs (#1781)

* move accumulator and columnar value (#1765)

* move accumulator and columnar value (#1762)

* fix bad data type in test_try_cast_decimal_to_decimal

* added projections for avro columns

Co-authored-by: xudong.w <wxd963996380@gmail.com>
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
Co-authored-by: Yijie Shen <henry.yijieshen@gmail.com>
Co-authored-by: Phillip Cloud <417981+cpcloud@users.noreply.github.com>
Co-authored-by: Matthew Turner <matthew.m.turner@outlook.com>
Co-authored-by: Yang <37145547+Ted-Jiang@users.noreply.github.com>
Co-authored-by: Remzi Yang <59198230+HaoYang670@users.noreply.github.com>
Co-authored-by: Dan Harris <1327726+thinkharderdev@users.noreply.github.com>
Co-authored-by: Dom <dom@itsallbroken.com>
Co-authored-by: Kun Liu <liukun@apache.org>
Co-authored-by: Dmitry Patsura <talk@dmtry.me>
Co-authored-by: Raphael Taylor-Davies <1781103+tustvold@users.noreply.github.com>
Co-authored-by: Will Jones <willjones127@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: r.4ntix <r.4ntix@gmail.com>
Co-authored-by: Jiayu Liu <Jimexist@users.noreply.github.com>
Co-authored-by: Andy Grove <agrove@apache.org>
Co-authored-by: Rich <jychen7@users.noreply.github.com>
Co-authored-by: Marko Mikulicic <mmikulicic@gmail.com>
Co-authored-by: Eduard Karacharov <13005055+korowa@users.noreply.github.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
datafusion Changes in the datafusion crate
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Create new datafusion_common crate
4 participants