Ethan Guo created HUDI-4205:
-------------------------------
Summary: Reading metadata table on S3 using Spark throws
NullPointerException
Key: HUDI-4205
URL: https://issues.apache.org/jira/browse/HUDI-4205
Project: Apache Hudi
Issue Type: Task
Components: metadata, spark
Reporter: Ethan Guo
Assignee: Ethan Guo
Fix For: 0.12.0
Environment: EMR 6.6.0 OSS Spark 3.2.1
Storage: S3
When loading the metadata table in Spark shell using the following code, it
throws NullPointerException.
{code:java}
spark.read.format("hudi").load("s3a://<base_path>/.hoodie/metadata/").show
{code}
{code:java}
Caused by: java.lang.NullPointerException
at
org.apache.hudi.org.apache.hadoop.hbase.io.hfile.CacheConfig.<init>(CacheConfig.java:178)
at
org.apache.hudi.org.apache.hadoop.hbase.io.hfile.CacheConfig.<init>(CacheConfig.java:167)
at
org.apache.hudi.org.apache.hadoop.hbase.io.hfile.CacheConfig.<init>(CacheConfig.java:163)
at
org.apache.hudi.HoodieBaseRelation$.$anonfun$createHFileReader$1(HoodieBaseRelation.scala:531)
at
org.apache.hudi.HoodieBaseRelation.$anonfun$createBaseFileReader$1(HoodieBaseRelation.scala:482)
at
org.apache.hudi.HoodieMergeOnReadRDD.readBaseFile(HoodieMergeOnReadRDD.scala:130)
at
org.apache.hudi.HoodieMergeOnReadRDD.compute(HoodieMergeOnReadRDD.scala:100)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750) {code}
Spark shell:
{code:java}
./bin/spark-shell \
--master yarn \
--deploy-mode client \
--driver-memory 20g \
--executor-memory 20g \
--num-executors 2 \
--executor-cores 8 \
--conf spark.serializer=org.apache.spark.serializer.KryoSerializer \
--conf spark.kryoserializer.buffer=256m \
--conf spark.kryoserializer.buffer.max=1024m \
--jars /home/hadoop/hudi-spark3.2-bundle_2.12-0.12.0-SNAPSHOT.jar \
--conf 'spark.eventLog.enabled=true' --conf
'spark.eventLog.dir=hdfs:///var/log/spark/apps' \
--conf
'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension' \
--conf
'spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog'
{code}
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