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GH-38837: [Format] Add the specification to pass statistics through the Arrow C data interface #43553

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@kou kou commented Aug 5, 2024

Rationale for this change

Statistics are useful for fast query processing. Many query engines
use statistics to optimize their query plan.

Apache Arrow format doesn't have statistics but other formats that can
be read as Apache Arrow data may have statistics. For example, Apache
Parquet C++ can read Apache Parquet file as Apache Arrow data and
Apache Parquet file may have statistics.

One of the Arrow C data interface use cases is the following:

  1. Module A reads Apache Parquet file as Apache Arrow data
  2. Module A passes the read Apache Arrow data to module B through the
    Arrow C data interface
  3. Module B processes the passed Apache Arrow data

If module A can pass the statistics associated with the Apache Parquet
file to module B through the Arrow C data interface, module B can use
the statistics to optimize its query plan.

What changes are included in this PR?

Add the specification to pass statistics through the Arrow C data interface based on the discussion on the dev@ mailing list: https://lists.apache.org/thread/z0jz2bnv61j7c6lbk7lympdrs49f69cx

Are these changes tested?

Yes.

Are there any user-facing changes?

Yes.

@kou kou marked this pull request as draft August 5, 2024 09:28
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kou commented Aug 5, 2024

@github-actions crossbow submit preview-docs

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github-actions bot commented Aug 5, 2024

⚠️ GitHub issue #38837 has been automatically assigned in GitHub to PR creator.

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kou commented Aug 5, 2024

I'm not a native English speaker. Wording suggestions are very welcome.

I'll add examples after I implement a convenient API to C++.

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Revision: 22336f4

Submitted crossbow builds: ursacomputing/crossbow @ actions-28c2a45b3d

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Comment on lines +56 to +76
* Provide a common way to pass statistics that can be used for
other interfaces such Arrow Flight too.
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What about the Arrow IPC format? Can you add a sentence here that explains why we do not recommend using this to pass statistics over Arrow IPC?

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Good point. This may fit the Arrow IPC format. (A producer sends data and statistics as 2 separated the Arrow IPC format data.)

But the Arrow IPC format can use more approaches. For example, the Arrow IPC format can have metadata for each record batch data: https://arrow.apache.org/docs/format/Columnar.html#encapsulated-message-format (The Arrow C data can't have metadata for ArrowArray.)
The Arrow IPC format can be used with other mechanisms such as Arrow Flight and ADBC.

So this may not be the best approach for the Arrow IPC format. We should discuss this use case with the Arrow IPC format separately.

I'll add something to here.

Comment on lines 59 to 60
For example, ADBC has the statistics related APIs. This specification
doesn't replace them.
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Thanks. I should have done it.

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ianmcook commented Aug 5, 2024

@pdet please take a look and add comments if you have any, thanks!

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pdet commented Aug 6, 2024

The format and contents LGTM! I was just slightly confused for one second that the second mapping is the value items in the first mapping.

@Tmonster I think the proposed Statistics keys already cover the table statistics we use/produce. Could you double-check?

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@ianmcook Thanks for your suggestions! I've merged all of them!

Comment on lines +56 to +76
* Provide a common way to pass statistics that can be used for
other interfaces such Arrow Flight too.
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Good point. This may fit the Arrow IPC format. (A producer sends data and statistics as 2 separated the Arrow IPC format data.)

But the Arrow IPC format can use more approaches. For example, the Arrow IPC format can have metadata for each record batch data: https://arrow.apache.org/docs/format/Columnar.html#encapsulated-message-format (The Arrow C data can't have metadata for ArrowArray.)
The Arrow IPC format can be used with other mechanisms such as Arrow Flight and ADBC.

So this may not be the best approach for the Arrow IPC format. We should discuss this use case with the Arrow IPC format separately.

I'll add something to here.

Comment on lines 59 to 60
For example, ADBC has the statistics related APIs. This specification
doesn't replace them.
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Thanks. I should have done it.

docs/source/format/CDataInterfaceStatistics.rst Outdated Show resolved Hide resolved
The ``ARROW`` pattern is a reserved namespace for pre-defined
statistics keys. User-defined statistics must not use it.

Here are pre-defined statistics keys:
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@github-actions github-actions bot added awaiting change review Awaiting change review awaiting changes Awaiting changes and removed awaiting changes Awaiting changes awaiting change review Awaiting change review labels Aug 7, 2024
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kou commented Aug 7, 2024

I was just slightly confused for one second that the second mapping is the value items in the first mapping.

Ah, it makes sense. I'll improve it. Thanks.

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kou commented Aug 7, 2024

@github-actions crossbow submit preview-docs

@github-actions github-actions bot removed the awaiting changes Awaiting changes label Aug 7, 2024
@kou kou force-pushed the docs-statistics-c-data-interface branch from 6cf71e0 to ed0cbe2 Compare December 11, 2024 07:58
@github-actions github-actions bot added awaiting changes Awaiting changes awaiting change review Awaiting change review and removed awaiting change review Awaiting change review awaiting changes Awaiting changes labels Dec 11, 2024
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kou commented Dec 11, 2024

I think the C Data Interface framing came from the original use case (which I would like to not lose sight of); allowing engines like DuckDB to have a way to get statistics when given a C Data Interface stream, so that they can properly do query planning. Even if we reframe this as just a definition for the format of the statistics it might be good to mention the original use case so there's proper context, to help commenters who aren't familiar with query planning.

I've added the original DuckDB use case.

DuckDB may be able to get statistics without ArrowArrayStream (DuckDB may be able to call separate API to get statistics) because duckdb::TableFunction has table_function_cardinality_t cardinality and table_statistics_t statistics.
See also: https://github.com/duckdb/duckdb/blob/v1.1.3/src/function/table/arrow.cpp#L525-L527

I'll start a discussion on the mailing list tomorrow.
(I wanted to do it today...)

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kou commented Dec 12, 2024

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