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Support Arrow format of result sets in QueryService #721

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Support Arrow format of result sets in QueryService #721

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@dahbka-lis dahbka-lis commented Nov 18, 2025

Extended ExecuteQueryRequest to support Format and SchemaInclusionMode options, ResultSet to support get binary data (serialized arrow batches).

Pull request type

Please check the type of change your PR introduces:

  • Bugfix
  • Feature
  • Code style update (formatting, renaming)
  • Refactoring (no functional changes, no api changes)
  • Build related changes
  • Documentation content changes
  • Other (please describe):

What is the current behavior?

It is not possible to get ResultSet with Arrow batches instead Ydb.Value rows.

What is the new behavior?

Now it is possible to get ResultSet with Arrow batches instead Ydb.Value rows.

Other information

Example:

import pyarrow as pa
import ydb

driver_config = ydb.DriverConfig(
    # ...
)

driver = ydb.Driver(driver_config)
driver.wait(timeout=5)
pool = ydb.QuerySessionPool(driver)

query = """
    SELECT * FROM `tpch/s1/orders` ORDER BY o_orderkey LIMIT 100;
"""

format_settings = ydb.ArrowFormatSettings(
    compression_codec=ydb.ArrowCompressionCodec(ydb.ArrowCompressionCodecType.ZSTD, 20)
)

result = pool.execute_with_retries(
    query,
    result_set_format=ydb.QueryResultSetFormat.ARROW,
    arrow_format_settings=format_settings,
)

for result_set in result:
    schema: pa.Schema = pa.ipc.read_schema(pa.py_buffer(result_set.arrow_format_meta.schema))
    batch: pa.RecordBatch = pa.ipc.read_record_batch(pa.py_buffer(result_set.data), schema)
    print(batch.num_rows, batch.num_columns)

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github-actions bot commented Nov 18, 2025 •
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🌋 Here are results of SLO test for sync-table:

Operation Success Rate

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Loading

95th Percentile Latency

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github-actions bot commented Nov 18, 2025 •
edited
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🌋 Here are results of SLO test for sync-query:

Operation Success Rate

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Loading

Operations Per Second

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Loading 
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Loading

95th Percentile Latency

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This was referenced Nov 18, 2025
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