Preparing 0.13.1-beta release

CHANGES.md

@@ -1,6 +1,14 @@
 # Release Notes
 
+## 0.13.1-beta - 2020-02-14
+* The BigQuery Storage API was reverted to v1beta2. The v1beta2 API has not been
+  fully integrated with custom IAM roles, which can cause issues to customers using
+  those. The v1beta1 doesn't have this problem. Once the integration is complete,
+  the API will be upgraded again.
+
 ## 0.13.0-beta - 2020-02-12
+**Please don't use this version, use 0.13.1-beta instead**
+
 * Moved to use BigQuery Storage API v1beta2
 * changed the `parallelism` parameter to `maxParallelism` in order to reflect the 
   Change in the underlining API (the old parameter has been deprecated) 

README.md

@@ -76,8 +76,8 @@ repository. It can be used using the `--packages` option or the
 
 | Scala version | Connector Artifact |
 | --- | --- |
-| Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.0-beta` |
-| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.13.0-beta` |
+| Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.1-beta` |
+| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.13.1-beta` |
 
 ## Hello World Example
 
@@ -497,7 +497,7 @@ using the following code:
 ```python
 from pyspark.sql import SparkSession
 spark = SparkSession.builder\
-  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.0-beta")\
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.1-beta")\
   .getOrCreate()
 df = spark.read.format("bigquery")\
   .option("table","dataset.table")\
@@ -507,7 +507,7 @@ df = spark.read.format("bigquery")\
 **Scala:**
 ```python
 val spark = SparkSession.builder
-  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.0-beta")
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.1-beta")
   .getOrCreate()
 val df = spark.read.format("bigquery")
   .option("table","dataset.table")
@@ -516,7 +516,7 @@ val df = spark.read.format("bigquery")
 
 In case Spark cluster is using Scala 2.12 (it's optional for Spark 2.4.x,
 mandatory in 3.0.x), then the relevant package is
-com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.13.0-beta. In
+com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.13.1-beta. In
 order to know which Scala version is used, please run the following code:
 
 **Python:**
@@ -540,14 +540,14 @@ To include the connector in your project:
 <dependency>
   <groupId>com.google.cloud.spark</groupId>
   <artifactId>spark-bigquery-with-dependencies_${scala.version}</artifactId>
-  <version>0.13.0-beta</version>
+  <version>0.13.1-beta</version>
 </dependency>
 ```
 
 ### SBT
 
 ```sbt
-libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.13.0-beta"
+libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.13.1-beta"
 ```
 
 ## Building the Connector