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v0.13.0

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Change README.md date for release (tensorflow#958)

The master build was finally successful though the date needs to be changed.

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

v0.12.0

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Update RELEASE.md and README.md for release note. (tensorflow#817)

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

v0.11.0

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Comment out nightly, as it is not needed for release

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

v0.10.0

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Release Note update for 0.10.0 (tensorflow#661)

* Update RELEASE.md to include 0.7.1/0.7.2/0.8.1/0.9.1

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

* Add Release note for 0.10.0

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

v0.7.2

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Patching 0.7.1 release (tensorflow#639)

* making sure that bigquery reader is returning meaningfull defaults for null values (tensorflow#626)

* making sure that bigquery reader is returning meaningfull defaults for null values

* linter fixes

* Use balanced sharding strategy in bigquery read session. (tensorflow#601)

We use sharding to provide a way of shuffling the read order. With liquid sharding, a single stream can read all data which wouldn't be shuffled.

* bumping release version 0.7.1->0.7.2

* properly merging tensorflow_io/bigquery/kernels/bigquery_lib.h

v0.9.1

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Patching 0.9.0 release (tensorflow#631)

* Use balanced sharding strategy in bigquery read session. (tensorflow#601)

We use sharding to provide a way of shuffling the read order. With liquid sharding, a single stream can read all data which wouldn't be shuffled.

* making sure that bigquery reader is returning meaningfull defaults for null values (tensorflow#626)

* making sure that bigquery reader is returning meaningfull defaults for null values

* linter fixes

* changing after-success.sh to push binaries to dropbox for branch R0.91

* bumping up version 0.9.0->0.9.1

v0.8.1

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Patching 0.8.0 release (tensorflow#630)

* making sure that bigquery reader is returning meaningfull defaults for null values (tensorflow#626)

* making sure that bigquery reader is returning meaningfull defaults for null values

* linter fixes

* Use balanced sharding strategy in bigquery read session. (tensorflow#601)

We use sharding to provide a way of shuffling the read order. With liquid sharding, a single stream can read all data which wouldn't be shuffled.

* changing after-success.sh to push binaries to dropbox for branch R0.81

* bumping up version 0.8.0->0.8.1

v0.9.0

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Update Release date of 0.9.0 in README.md (tensorflow#558)

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

v0.7.1

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Patching BigQuery connector in 0.7.0 release and upgrading release to…

… 0.7.1 (tensorflow#556)

* adding README document describing how to use BigQuery connector (tensorflow#467)

* adding README document describing how to use BigQuery connector

* Fixing BigQuery connector package definition, and updating README.md accordingly

* More changes for BigQuery connector (tensorflow#490)

* Fixing Dockerfile

* Returning dataset in a form of Dictionary from BigQuery connector

* Adding NULL fields support to BigQuery connector

* python style tweak

* more style tweaks

* Style tweaks, comming from google account

* Properly setting row_restriction in createReadSessionRequest and updating sample accordingly (tensorflow#529)

* updating version 0.7.0 -> 0.7.1

* locking TF version to 1.14

* linter fix

v0.8.0

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Update the release date for 0.8.0 (tensorflow#554)

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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