Adding google-cloud-bigquery dependency and TFT 1.1.1 patch release (#244)

* Update RELEASE.md

* Update setup.py

* Update README.md

* Update version.py

Author: dhruvesh09

README.md

@@ -97,6 +97,7 @@ other *untested* combinations may also work.
 tensorflow-transform                                                            | apache-beam[gcp] | pyarrow | tensorflow        | tensorflow-metadata | tfx-bsl |
 ------------------------------------------------------------------------------- | -----------------| --------|-------------------|---------------------|---------|
 [GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | 2.29.0           | 2.0.0   | nightly (1.x/2.x) | 1.1.0               | 1.1.0   |
+[1.1.1](https://github.com/tensorflow/transform/blob/v1.1.1/RELEASE.md)         | 2.29.0           | 2.0.0   | 1.15.2 / 2.5      | 1.1.0               | 1.1.1   |
 [1.1.0](https://github.com/tensorflow/transform/blob/v1.1.0/RELEASE.md)         | 2.29.0           | 2.0.0   | 1.15.2 / 2.5      | 1.1.0               | 1.1.0   |
 [1.0.0](https://github.com/tensorflow/transform/blob/v1.0.0/RELEASE.md)         | 2.29.0           | 2.0.0   | 1.15 / 2.5        | 1.0.0               | 1.0.0   |
 [0.30.0](https://github.com/tensorflow/transform/blob/v0.30.0/RELEASE.md)       | 2.28.0           | 2.0.0   | 1.15 / 2.4        | 0.30.0              | 0.30.0  |

RELEASE.md

@@ -1,24 +1,13 @@
-# Version 1.1.0
+# Version 1.1.1
 
 ## Major Features and Improvements
 
-*   Improved resource usage for `tft.vocabulary` when `top_k` is set by removing
-    stages performing repetitive sorting.
+*   N/A
 
 ## Bug Fixes and Other Changes
 
-*   Support invoking Keras models inside the `preprocessing_fn` using
-    `tft.make_and_track_object` when `force_tf_compat_v1=False` with TF2
-    behaviors enabled.
-*   Fix an issue when computing the metadata for a function with automatic
-    control dependencies added where dependencies on inputs which should not be
-    evaluated was being retained.
-*   Census TFT example: wrapped table initialization with a tf.init_scope() in
-    order to avoid reinitializing the table for each batch of data.
-*   Stopped depending on `six`.
-*   Depends on `protobuf>=3.13,<4`.
-*   Depends on `tensorflow-metadata>=1.1.0,<1.2.0`.
-*   Depends on `tfx-bsl>=1.1.0,<1.2.0`.
+*   Depends on `google-cloud-bigquery>=1.28.0,<2.21`.
+*   Depends on `tfx-bsl>=1.1.1,<1.2.0`.
 
 ## Breaking Changes
 

setup.py

@@ -44,6 +44,7 @@ def _make_required_install_packages():
   return [
       'absl-py>=0.9,<0.13',
       'apache-beam[gcp]>=2.29,<3',
+      'google-cloud-bigquery>=1.28.0,<2.21',
       'numpy>=1.16,<1.20',
       'protobuf>=3.13,<4',
       'pyarrow>=1,<3',
@@ -55,7 +56,7 @@ def _make_required_install_packages():
           nightly='>=1.2.0.dev',
           git_master='@git+https://github.com/tensorflow/metadata@master'),
       'tfx-bsl' + select_constraint(
-          default='>=1.1.0,<1.2.0',
+          default='>=1.1.1,<1.2.0',
           nightly='>=1.2.0.dev',
           git_master='@git+https://github.com/tensorflow/tfx-bsl@master'),
   ]

tensorflow_transform/version.py

@@ -14,4 +14,4 @@
 """Contains the version string of TF.Transform."""
 
 # Note that setup.py uses this version.
-__version__ = '1.1.0'
+__version__ = '1.1.1'