prepare release 0.18.1

GoogleCloudDataproc · Jan 21, 2021 · 5e15e1f · 5e15e1f
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diff --git a/CHANGES.md b/CHANGES.md
@@ -1,5 +1,10 @@
 # Release Notes
 
+## 0.18.1 - 2021-01-21
+* Issue #248: Reducing the size of the URI list when writing to BigQuery. This allows larger DataFrames (>10,000 partitions) to be safely written.
+* Issue #296: Removed redundant packaged slf4j-api.
+* PR #276: Added the option to enable `useAvroLogicalTypes` option When writing data to BigQuery.
+
 ## 0.18.0 - 2020-11-12
 * Issue #226: Adding support for HOUR, MONTH, DAY TimePartitions
 * Issue #260: Increasing connection timeout to the BigQuery service, and 

diff --git a/README.md b/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_2.11:0.18.0` |
-| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.18.0` |
+| Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.18.1` |
+| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.18.1` |
 
 ## Hello World Example
 
@@ -595,7 +595,7 @@ 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_2.11:0.18.0")\
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.18.1")\
   .getOrCreate()
 df = spark.read.format("bigquery")\
   .load("dataset.table")
@@ -604,15 +604,15 @@ df = spark.read.format("bigquery")\
 **Scala:**
 ```python
 val spark = SparkSession.builder
-  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.18.0")
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.18.1")
   .getOrCreate()
 val df = spark.read.format("bigquery")
   .load("dataset.table")
 ```
 
 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**:0.18.0. In
+com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.18.1. In
 order to know which Scala version is used, please run the following code:
 
 **Python:**
@@ -636,14 +636,14 @@ To include the connector in your project:
 <dependency>
   <groupId>com.google.cloud.spark</groupId>
   <artifactId>spark-bigquery-with-dependencies_${scala.version}</artifactId>
-  <version>0.18.0</version>
+  <version>0.18.1</version>
 </dependency>
 ```
 
 ### SBT
 
 ```sbt
-libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.18.0"
+libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.18.1"
 ```
 
 ## Building the Connector

diff --git a/build.sbt b/build.sbt
@@ -24,7 +24,7 @@ lazy val nettyTcnativeVersion = "2.0.34.Final"
 
 lazy val commonSettings = Seq(
   organization := "com.google.cloud.spark",
-  version := "0.18.1-SNAPSHOT",
+  version := "0.18.1",
   scalaVersion := scala211Version,
   crossScalaVersions := Seq(scala211Version, scala212Version)
 )