Prepare for 2.0.0 release

This patch prepares `spark-redshift` for its 2.0.0 release by updating the build to use `spark-avro` 3.0.0 and updating the version numbers in the README. Author: Josh Rosen <[email protected]> Closes #250 from JoshRosen/update-for-2.0-release.
databricks · Aug 2, 2016 · 7b2142a · 7b2142a
1 parent 30b10e7
commit 7b2142a
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Showing 3 changed files with 7 additions and 7 deletions.
diff --git a/.travis.yml b/.travis.yml
@@ -10,11 +10,11 @@ matrix:
     # Scala 2.10.5 tests:
     - jdk: openjdk7
       scala: 2.10.5
-      env: HADOOP_VERSION="2.2.0" SPARK_VERSION="2.0.0" SPARK_AVRO_VERSION="3.0.0-preview2"
+      env: HADOOP_VERSION="2.2.0" SPARK_VERSION="2.0.0" SPARK_AVRO_VERSION="3.0.0"
     # Scala 2.11 tests:
     - jdk: openjdk7
       scala: 2.11.7
-      env: HADOOP_VERSION="2.2.0" SPARK_VERSION="2.0.0" SPARK_AVRO_VERSION="3.0.0-preview2"
+      env: HADOOP_VERSION="2.2.0" SPARK_VERSION="2.0.0" SPARK_AVRO_VERSION="3.0.0"
 env:
   global:
     # AWS_REDSHIFT_JDBC_URL

diff --git a/README.md b/README.md
@@ -37,14 +37,14 @@ You may use this library in your applications with the following dependency info
 ```
 groupId: com.databricks
 artifactId: spark-redshift_2.10
-version: 2.0.0-preview1
+version: 2.0.0
 ```
 
 **Scala 2.11**
 ```
 groupId: com.databricks
 artifactId: spark-redshift_2.11
-version: 2.0.0-preview1
+version: 2.0.0
 ```
 
 You will also need to provide a JDBC driver that is compatible with Redshift. Amazon recommend that you use [their driver](http://docs.aws.amazon.com/redshift/latest/mgmt/configure-jdbc-connection.html), which is distributed as a JAR that is hosted on Amazon's website. This library has also been successfully tested using the Postgres JDBC driver.
@@ -514,4 +514,4 @@ If the deprecated `usestagingtable` setting is set to `false` then this library
 
 ## Migration Guide
 
-- Version 2.0 removed a number of deprecated APIs; for details, see https://github.com/databricks/spark-redshift/pull/239
+- Version 2.0 removed a number of deprecated APIs; for details, see https://github.com/databricks/spark-redshift/pull/239
diff --git a/project/SparkRedshiftBuild.scala b/project/SparkRedshiftBuild.scala
@@ -46,7 +46,7 @@ object SparkRedshiftBuild extends Build {
       crossScalaVersions := Seq("2.10.5", "2.11.7"),
       sparkVersion := "2.0.0",
       testSparkVersion := sys.props.get("spark.testVersion").getOrElse(sparkVersion.value),
-      testSparkAvroVersion := sys.props.get("sparkAvro.testVersion").getOrElse("3.0.0-preview2"),
+      testSparkAvroVersion := sys.props.get("sparkAvro.testVersion").getOrElse("3.0.0"),
       testHadoopVersion := sys.props.get("hadoop.testVersion").getOrElse("2.2.0"),
       spName := "databricks/spark-redshift",
       sparkComponents ++= Seq("sql", "hive"),
@@ -73,7 +73,7 @@ object SparkRedshiftBuild extends Build {
         "com.amazonaws" % "aws-java-sdk-sts" % "1.10.22" % "test" exclude("com.fasterxml.jackson.core", "jackson-databind"),
         // We require spark-avro, but avro-mapred must be provided to match Hadoop version.
         // In most cases, avro-mapred will be provided as part of the Spark assembly JAR.
-        "com.databricks" %% "spark-avro" % "3.0.0-preview2",
+        "com.databricks" %% "spark-avro" % "3.0.0",
         if (testHadoopVersion.value.startsWith("1")) {
           "org.apache.avro" % "avro-mapred" % "1.7.7" % "provided" classifier "hadoop1" exclude("org.mortbay.jetty", "servlet-api")
         } else {