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Releases: googleapis/python-bigquery-storage

v2.7.0

02 Sep 09:20
0bd8279

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Features

  • v1beta2: Align ReadRows timeout with other versions of the API (#293) (43e36a1)

Documentation

  • v1beta2: Align session length with public documentation (43e36a1)

v2.6.3

09 Aug 13:47
71aae60

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Bug Fixes

  • resume read stream on Unknown transport-layer exception (#263) (127caa0)

v2.6.2

28 Jul 11:47
f4156a3

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Bug Fixes

Documentation

v2.6.1

21 Jul 23:18
6f21583

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Bug Fixes

  • deps: pin 'google-{api,cloud}-core', 'google-auth' to allow 2.x versions (#240) (8f848e1)

Documentation

  • pandas DataFrame samples are more standalone (#224) (4026997)

v2.6.0

09 Jul 14:48
a309380

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Features

v2.5.0

29 Jun 20:47
6f3725f

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⚠ BREAKING CHANGES

  • remove default deadline for AppendRows API (#205)

Features

  • Add ZSTD compression as an option for Arrow (#197) (f941446)
  • new JSON type through BigQuery Write (#178) (a6d6afa)

Bug Fixes

  • deps: add packaging requirement (#200) (f2203fe)
  • remove default deadline for AppendRows API (#205) (cd4e637)

Documentation

Miscellaneous Chores

v2.4.0

07 Apr 16:17
d96d39a

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Features

  • add a Arrow compression options (Only LZ4 for now) (#166) (1c91a27)
  • updates for v1beta2 storage API - Updated comments on BatchCommitWriteStreams - Added new support Bigquery types BIGNUMERIC and INTERVAL to TableSchema - Added read rows schema in ReadRowsResponse - Misc comment updates (#172) (bef63fb)

Dependencies

v2.3.0

18 Feb 17:19
445bb49

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Features

  • add client_cert_source_for_mtls argument to transports (#135) (072850d)

Documentation

v2.2.1

25 Jan 19:32
aa57ac6

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Documentation

  • remove required session variable to fix publish (#124) (19a105c)

v2.2.0

25 Jan 15:32
9ad82d1

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Features

  • add clients for v1beta2 endpoint (#113) (e5f6198)
  • add manual wrapper for v1beta2 read client (#117) (798cd34)

Bug Fixes

  • skip some system tests for mtls testing (#106) (89ba292)

Documentation

  • add note about Arrow blocks to README (#73) (d9691f1)
  • request only a single stream in dataframe example (#114) (3518624)