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GH-38837: [Format] Add the specification to pass statistics through t…
…he Arrow C data interface
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.. Licensed to the Apache Software Foundation (ASF) under one | ||
.. or more contributor license agreements. See the NOTICE file | ||
.. distributed with this work for additional information | ||
.. regarding copyright ownership. The ASF licenses this file | ||
.. to you under the Apache License, Version 2.0 (the | ||
.. "License"); you may not use this file except in compliance | ||
.. with the License. You may obtain a copy of the License at | ||
.. http://www.apache.org/licenses/LICENSE-2.0 | ||
.. Unless required by applicable law or agreed to in writing, | ||
.. software distributed under the License is distributed on an | ||
.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
.. KIND, either express or implied. See the License for the | ||
.. specific language governing permissions and limitations | ||
.. under the License. | ||
.. _c-data-interface-statistics: | ||
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===================================================== | ||
Passing statistics through the Arrow C data interface | ||
===================================================== | ||
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Rationale | ||
========= | ||
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Statistics are useful for fast query processing. Many query engines | ||
use statistics to optimize their query plan. | ||
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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. | ||
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One of the Arrow C data interface use cases is the following: | ||
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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 | ||
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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. | ||
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Goals | ||
----- | ||
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* Provide the standard way to pass statistics through the Arrow C data | ||
interface to avoid reinventing the wheel. | ||
* The standard way must be easy to use with the Arrow C data interface. | ||
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Non-goals | ||
--------- | ||
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* Provide a common way to pass statistics that can be used for | ||
other interfaces such Arrow Flight too. | ||
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For example, ADBC has the statistics related APIs. This specification | ||
doesn't replace them. | ||
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.. _c-data-interface-statistics-schema: | ||
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Schema | ||
====== | ||
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This specification provides only the schema for statistics. Producers | ||
passes statistics as a map Arrow array that uses the schema through | ||
the Arrow C data interface. | ||
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Here is the schema for a statistics map Arrow Array: | ||
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.. list-table:: | ||
:header-rows: 1 | ||
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* - Key or items | ||
- Data type | ||
- Nullable | ||
- Notes | ||
* - key | ||
- ``int32`` | ||
- ``true`` | ||
- The column index or null if the statistics refer to whole table | ||
or record batch. | ||
* - items | ||
- ``map`` | ||
- ``false`` | ||
- Statistics for the target column, table or record batch. See | ||
the separated table for details. | ||
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Here is the schema for the statistics map: | ||
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.. list-table:: | ||
:header-rows: 1 | ||
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* - Key or items | ||
- Data type | ||
- Nullable | ||
- Notes | ||
* - key | ||
- ``dictionary<int32, utf8>`` | ||
- ``false`` | ||
- Statistics key is string. Dictionary is used for | ||
efficiency. Different keys are assigned for exact value and | ||
approximate value. See also the separated description for | ||
statistics key. | ||
* - items | ||
- ``dense_union`` | ||
- ``false`` | ||
- Statistics value is dense union. It has at least all needed | ||
types based on statistics kinds in the keys. For example, you | ||
need at least ``int64`` and ``float64`` types when you have a | ||
``int64`` distinct count statistic and a ``float64`` average | ||
byte width statistic. See also the separated description for | ||
statistics key. | ||
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We don't standardize field names for the dense union because | ||
consumers can access to proper field by index not name. So | ||
producers can use any valid name for fields. | ||
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.. _c-data-interface-statistics-key: | ||
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Statistics key | ||
-------------- | ||
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Statistics key is string. ``dictionary<int32, utf8>`` is used for | ||
efficiency. | ||
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We assign different statistics keys for variants instead of using | ||
flags. For example, we assign different statistics keys for exact | ||
value and approximate value. | ||
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The colon symbol ``:`` is to be used as a namespace separator like | ||
:ref:`format_metadata`. It can be used multiple times in a key. | ||
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The ``ARROW`` pattern is a reserved namespace for pre-defined | ||
statistics keys. User-defined statistics must not use it. | ||
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Here are pre-defined statistics keys: | ||
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.. list-table:: | ||
:header-rows: 1 | ||
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* - Key | ||
- Data type | ||
- Notes | ||
* - ``ARROW:average_byte_width:exact`` | ||
- ``float`` | ||
- The average size in bytes of a row in the target. (exact) | ||
* - ``ARROW:average_byte_width:approximate`` | ||
- ``float64`` | ||
- The average size in bytes of a row in the target. (approximate) | ||
* - ``ARROW:distinct_count:exact`` | ||
- ``int64`` | ||
- The number of distinct values in the target. (exact) | ||
* - ``ARROW:distinct_count:approximate`` | ||
- ``float64`` | ||
- The number of distinct values in the target. (approximate) | ||
* - ``ARROW:max_byte_width:exact`` | ||
- ``int64`` | ||
- The maximum size in bytes of a row in the target. (exact) | ||
* - ``ARROW:max_byte_width:approximate`` | ||
- ``float64`` | ||
- The maximum size in bytes of a row in the target. (approximate) | ||
* - ``ARROW:max_value:exact`` | ||
- Target dependent | ||
- The maximum value in the target. (exact) | ||
* - ``ARROW:max_value:approximate`` | ||
- Target dependent | ||
- The maximum value in the target. (approximate) | ||
* - ``ARROW:min_value:exact`` | ||
- Target dependent | ||
- The minimum value in the target. (exact) | ||
* - ``ARROW:min_value:approximate`` | ||
- Target dependent | ||
- The minimum value in the target. (approximate) | ||
* - ``ARROW:row_count:exact`` | ||
- ``int64`` | ||
- The number of rows in the target table or record batch. (exact) | ||
* - ``ARROW:row_count:approximate`` | ||
- ``float64`` | ||
- The number of rows in the target table or record | ||
batch. (approximate) | ||
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If you find a missing statistics key that is usable for multiple | ||
systems, please propose it on the `Arrow development mailing-list | ||
<https://arrow.apache.org/community/>`__. | ||
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Examples | ||
-------- | ||
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TODO: Add at least C++ example. |
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