dongjoon-hyun opened a new pull request, #53690: URL: https://github.com/apache/spark/pull/53690
### What changes were proposed in this pull request? This PR aims to upgrade `gcs-connector` to 2.2.31 for Apache Spark 4.2.0. ### Why are the changes needed? To bring the latest bug fixes. - https://github.com/GoogleCloudDataproc/hadoop-connectors/releases/tag/v2.2.31 - https://github.com/GoogleCloudDataproc/hadoop-connectors/releases/tag/v2.2.30 ### Does this PR introduce _any_ user-facing change? No behavior change. ### How was this patch tested? ``` $ dev/make-distribution.sh -Phadoop-cloud $ cd dist $ export KEYFILE=~/.ssh/apache-spark.json $ export EMAIL=$(jq -r '.client_email' < $KEYFILE) $ export PRIVATE_KEY_ID=$(jq -r '.private_key_id' < $KEYFILE) $ export PRIVATE_KEY="$(jq -r '.private_key' < $KEYFILE)" $ bin/spark-shell \ -c spark.hadoop.fs.gs.auth.service.account.email=$EMAIL \ -c spark.hadoop.fs.gs.auth.service.account.private.key.id=$PRIVATE_KEY_ID \ -c spark.hadoop.fs.gs.auth.service.account.private.key="$PRIVATE_KEY" WARNING: Using incubator modules: jdk.incubator.vector Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 4.2.0-SNAPSHOT /_/ Using Scala version 2.13.18 (OpenJDK 64-Bit Server VM, Java 17.0.17) Type in expressions to have them evaluated. Type :help for more information. 26/01/06 13:31:11 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Spark context Web UI available at http://localhost:4040 Spark context available as 'sc' (master = local[*], app id = local-1767673872877). Spark session available as 'spark'. scala> spark.read.text("gs://apache-spark-bucket/README.md").count() val res0: Long = 124 scala> spark.read.orc("examples/src/main/resources/users.orc").write.mode("overwrite").orc("gs://apache-spark-bucket/users.orc") scala> spark.read.orc("gs://apache-spark-bucket/users.orc").show() +------+--------------+----------------+ | name|favorite_color|favorite_numbers| +------+--------------+----------------+ |Alyssa| NULL| [3, 9, 15, 20]| | Ben| red| []| +------+--------------+----------------+ ``` ### Was this patch authored or co-authored using generative AI tooling? No. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
