[
https://issues.apache.org/jira/browse/SPARK-20865?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jacek Laskowski resolved SPARK-20865.
-------------------------------------
Resolution: Won't Fix
Fix Version/s: 2.3.0
2.2.0
{{cache}} is not allowed due to its eager execution.
> 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: 2.0.2, 2.1.0, 2.1.1
> Reporter: Martin BriĊĦiak
> Fix For: 2.2.0, 2.3.0
>
>
> {code}
> 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
> {code}
> While executing this sample in spark got error. Without the .cache option it
> worked as intended but with .cache option i got:
> {code}
> 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)
> {code}
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