From ad1d79b424ee5d0dd2080401a4e0503c798e4fc3 Mon Sep 17 00:00:00 2001 From: kbuilder Date: Mon, 24 Jun 2024 11:19:58 -0700 Subject: [PATCH] Release 0.39.1. --- CHANGES.md | 2 +- README.md | 46 +++++++++++++++++++++++----------------------- 2 files changed, 24 insertions(+), 24 deletions(-) diff --git a/CHANGES.md b/CHANGES.md index 538ca8c17..e66e5a5c1 100644 --- a/CHANGES.md +++ b/CHANGES.md @@ -1,6 +1,6 @@ # Release Notes -## Next +## 0.39.1 - 2024-06-24 * PR #1236: Fixing unshaded artifacts, added shading verification * PR #1239: Allow GCS bucket to be supplied including a scheme. Thanks @tom-s-powell ! diff --git a/README.md b/README.md index 0bce7232e..11ee68f53 100644 --- a/README.md +++ b/README.md @@ -57,14 +57,14 @@ The latest version of the connector is publicly available in the following links | version | Link | |------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Spark 3.5 | `gs://spark-lib/bigquery/spark-3.5-bigquery-0.39.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.5-bigquery-0.39.0.jar)) | -| Spark 3.4 | `gs://spark-lib/bigquery/spark-3.4-bigquery-0.39.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.4-bigquery-0.39.0.jar)) | -| Spark 3.3 | `gs://spark-lib/bigquery/spark-3.3-bigquery-0.39.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.3-bigquery-0.39.0.jar)) | -| Spark 3.2 | `gs://spark-lib/bigquery/spark-3.2-bigquery-0.39.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.2-bigquery-0.39.0.jar)) | -| Spark 3.1 | `gs://spark-lib/bigquery/spark-3.1-bigquery-0.39.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.1-bigquery-0.39.0.jar)) | +| Spark 3.5 | `gs://spark-lib/bigquery/spark-3.5-bigquery-0.39.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.5-bigquery-0.39.1.jar)) | +| Spark 3.4 | `gs://spark-lib/bigquery/spark-3.4-bigquery-0.39.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.4-bigquery-0.39.1.jar)) | +| Spark 3.3 | `gs://spark-lib/bigquery/spark-3.3-bigquery-0.39.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.3-bigquery-0.39.1.jar)) | +| Spark 3.2 | `gs://spark-lib/bigquery/spark-3.2-bigquery-0.39.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.2-bigquery-0.39.1.jar)) | +| Spark 3.1 | `gs://spark-lib/bigquery/spark-3.1-bigquery-0.39.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.1-bigquery-0.39.1.jar)) | | Spark 2.4 | `gs://spark-lib/bigquery/spark-2.4-bigquery-0.37.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-2.4-bigquery-0.37.0.jar)) | -| Scala 2.13 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.39.0.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.39.0.jar)) | -| Scala 2.12 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.39.0.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.39.0.jar)) | +| Scala 2.13 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.39.1.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.39.1.jar)) | +| Scala 2.12 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.39.1.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.39.1.jar)) | | Scala 2.11 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.11-0.29.0.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.11-0.29.0.jar)) | The first six versions are Java based connectors targeting Spark 2.4/3.1/3.2/3.3/3.4/3.5 of all Scala versions built on the new @@ -107,14 +107,14 @@ repository. It can be used using the `--packages` option or the | version | Connector Artifact | |------------|------------------------------------------------------------------------------------| -| Spark 3.5 | `com.google.cloud.spark:spark-3.5-bigquery:0.39.0` | -| Spark 3.4 | `com.google.cloud.spark:spark-3.4-bigquery:0.39.0` | -| Spark 3.3 | `com.google.cloud.spark:spark-3.3-bigquery:0.39.0` | -| Spark 3.2 | `com.google.cloud.spark:spark-3.2-bigquery:0.39.0` | -| Spark 3.1 | `com.google.cloud.spark:spark-3.1-bigquery:0.39.0` | +| Spark 3.5 | `com.google.cloud.spark:spark-3.5-bigquery:0.39.1` | +| Spark 3.4 | `com.google.cloud.spark:spark-3.4-bigquery:0.39.1` | +| Spark 3.3 | `com.google.cloud.spark:spark-3.3-bigquery:0.39.1` | +| Spark 3.2 | `com.google.cloud.spark:spark-3.2-bigquery:0.39.1` | +| Spark 3.1 | `com.google.cloud.spark:spark-3.1-bigquery:0.39.1` | | Spark 2.4 | `com.google.cloud.spark:spark-2.4-bigquery:0.37.0` | -| Scala 2.13 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.13:0.39.0` | -| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.39.0` | +| Scala 2.13 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.13:0.39.1` | +| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.39.1` | | Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.29.0` | ### Specifying the Spark BigQuery connector version in a Dataproc cluster @@ -124,8 +124,8 @@ Using the standard `--jars` or `--packages` (or alternatively, the `spark.jars`/ To use another version than the built-in one, please do one of the following: -* For Dataproc clusters, using image 2.1 and above, add the following flag on cluster creation to upgrade the version `--metadata SPARK_BQ_CONNECTOR_VERSION=0.39.0`, or `--metadata SPARK_BQ_CONNECTOR_URL=gs://spark-lib/bigquery/spark-3.3-bigquery-0.39.0.jar` to create the cluster with a different jar. The URL can point to any valid connector JAR for the cluster's Spark version. -* For Dataproc serverless batches, add the following property on batch creation to upgrade the version: `--properties dataproc.sparkBqConnector.version=0.39.0`, or `--properties dataproc.sparkBqConnector.uri=gs://spark-lib/bigquery/spark-3.3-bigquery-0.39.0.jar` to create the batch with a different jar. The URL can point to any valid connector JAR for the runtime's Spark version. +* For Dataproc clusters, using image 2.1 and above, add the following flag on cluster creation to upgrade the version `--metadata SPARK_BQ_CONNECTOR_VERSION=0.39.1`, or `--metadata SPARK_BQ_CONNECTOR_URL=gs://spark-lib/bigquery/spark-3.3-bigquery-0.39.1.jar` to create the cluster with a different jar. The URL can point to any valid connector JAR for the cluster's Spark version. +* For Dataproc serverless batches, add the following property on batch creation to upgrade the version: `--properties dataproc.sparkBqConnector.version=0.39.1`, or `--properties dataproc.sparkBqConnector.uri=gs://spark-lib/bigquery/spark-3.3-bigquery-0.39.1.jar` to create the batch with a different jar. The URL can point to any valid connector JAR for the runtime's Spark version. ## Hello World Example @@ -135,7 +135,7 @@ You can run a simple PySpark wordcount against the API without compilation by ru ``` gcloud dataproc jobs submit pyspark --cluster "$MY_CLUSTER" \ - --jars gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.39.0.jar \ + --jars gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.39.1.jar \ examples/python/shakespeare.py ``` @@ -1179,7 +1179,7 @@ using the following code: ```python from pyspark.sql import SparkSession spark = SparkSession.builder \ - .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.39.0") \ + .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.39.1") \ .getOrCreate() df = spark.read.format("bigquery") \ .load("dataset.table") @@ -1188,7 +1188,7 @@ df = spark.read.format("bigquery") \ **Scala:** ```scala val spark = SparkSession.builder -.config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.39.0") +.config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.39.1") .getOrCreate() val df = spark.read.format("bigquery") .load("dataset.table") @@ -1196,7 +1196,7 @@ val df = spark.read.format("bigquery") In case Spark cluster is using Scala 2.12 (it's optional for Spark 2.4.x, mandatory in 3.0.x), then the relevant package is -com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.39.0. In +com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.39.1. In order to know which Scala version is used, please run the following code: **Python:** @@ -1220,14 +1220,14 @@ To include the connector in your project: com.google.cloud.spark spark-bigquery-with-dependencies_${scala.version} - 0.39.0 + 0.39.1 ``` ### SBT ```sbt -libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.39.0" +libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.39.1" ``` ### Connector metrics and how to view them @@ -1272,7 +1272,7 @@ word-break:break-word -**Note:** To use the metrics in the Spark UI page, you need to make sure the `spark-bigquery-metrics-0.39.0.jar` is the class path before starting the history-server and the connector version is `spark-3.2` or above. +**Note:** To use the metrics in the Spark UI page, you need to make sure the `spark-bigquery-metrics-0.39.1.jar` is the class path before starting the history-server and the connector version is `spark-3.2` or above. ## FAQ