dongjoon-hyun commented on issue #25686: [SPARK-28981][K8S] Missing library for reading/writing Snappy-compressed files URL: https://github.com/apache/spark/pull/25686#issuecomment-528492922 Thank you for your first contribution, @psschwei . As @srowen mentioned, this is resolved at 2.4.4. Please download and build docker image from `Apache Spark 2.4.4`. I'll close this PR. ``` $ docker build -t spark:2.4.4 -f kubernetes/dockerfiles/spark/Dockerfile . $ docker run --rm -it spark:2.4.4 /opt/spark/bin/spark-shell ++ id -u + myuid=0 ++ id -g + mygid=0 + set +e ++ getent passwd 0 + uidentry=root:x:0:0:root:/root:/bin/ash + set -e + '[' -z root:x:0:0:root:/root:/bin/ash ']' + SPARK_K8S_CMD=/opt/spark/bin/spark-shell + case "$SPARK_K8S_CMD" in + echo 'Non-spark-on-k8s command provided, proceeding in pass-through mode...' Non-spark-on-k8s command provided, proceeding in pass-through mode... + exec /sbin/tini -s -- /opt/spark/bin/spark-shell 19/09/05 17:39:18 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://454a817f8cee:4040 Spark context available as 'sc' (master = local[*], app id = local-1567705163260). Spark session available as 'spark'. Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 2.4.4 /_/ Using Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 1.8.0_212) Type in expressions to have them evaluated. Type :help for more information. scala> spark.range(10).write.parquet("/tmp/p") 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 96.54% for 7 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 84.47% for 8 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 75.08% for 9 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 67.58% for 10 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 61.43% for 11 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 67.58% for 10 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 75.08% for 9 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 84.47% for 8 writers 19/09/05 17:39:38 WARN MemoryManager: Total allocation exceeds 95.00% (906,992,014 bytes) of heap memory Scaling row group sizes to 96.54% for 7 writers scala> spark.read.parquet("/tmp/p").count res1: Long = 10 ```
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