Martin Brišiak created SPARK-20865:
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Summary: caching dataset throws "Queries with streaming sources
must be executed with writeStream.start()"
Key: SPARK-20865
URL: https://issues.apache.org/jira/browse/SPARK-20865
Project: Spark
Issue Type: Bug
Components: SQL, Structured Streaming
Affects Versions: 2.1.1, 2.1.0, 2.0.2
Reporter: Martin Brišiak
SparkSession
.builder
.master("local[*]")
.config("spark.sql.warehouse.dir", "C:/tmp/spark")
.config("spark.sql.streaming.checkpointLocation",
"C:/tmp/spark/spark-checkpoint")
.appName("my-test")
.getOrCreate
.readStream
.schema(schema)
.json("src/test/data")
.cache
.writeStream
.start
.awaitTermination
While executing this sample in spark got error. Without the .cache option it
worked as intended but with .cache option i got:
Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with
streaming sources must be executed with writeStream.start();;
FileSource[src/test/data] at
org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.org$apache$spark$sql$catalyst$analysis$UnsupportedOperationChecker$$throwError(UnsupportedOperationChecker.scala:196)
at
org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:35)
at
org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:33)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:128)
at
org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.checkForBatch(UnsupportedOperationChecker.scala:33)
at
org.apache.spark.sql.execution.QueryExecution.assertSupported(QueryExecution.scala:58)
at
org.apache.spark.sql.execution.QueryExecution.withCachedData$lzycompute(QueryExecution.scala:69)
at
org.apache.spark.sql.execution.QueryExecution.withCachedData(QueryExecution.scala:67)
at
org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:73)
at
org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:73)
at
org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:79)
at
org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:75)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:84)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84)
at
org.apache.spark.sql.execution.CacheManager$$anonfun$cacheQuery$1.apply(CacheManager.scala:102)
at
org.apache.spark.sql.execution.CacheManager.writeLock(CacheManager.scala:65) at
org.apache.spark.sql.execution.CacheManager.cacheQuery(CacheManager.scala:89)
at org.apache.spark.sql.Dataset.persist(Dataset.scala:2479) at
org.apache.spark.sql.Dataset.cache(Dataset.scala:2489) at
org.me.App$.main(App.scala:23) at org.me.App.main(App.scala)
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