Shixiong Zhu created SPARK-19965: ------------------------------------ Summary: DataFrame batch reader may fail to infer partitions when reading FileStreamSink's output Key: SPARK-19965 URL: https://issues.apache.org/jira/browse/SPARK-19965 Project: Spark Issue Type: Bug Components: Structured Streaming Affects Versions: 2.1.0 Reporter: Shixiong Zhu
Reproducer {code} test("partitioned writing and batch reading with 'basePath'") { val inputData = MemoryStream[Int] val ds = inputData.toDS() val outputDir = Utils.createTempDir(namePrefix = "stream.output").getCanonicalPath val checkpointDir = Utils.createTempDir(namePrefix = "stream.checkpoint").getCanonicalPath var query: StreamingQuery = null try { query = ds.map(i => (i, i * 1000)) .toDF("id", "value") .writeStream .partitionBy("id") .option("checkpointLocation", checkpointDir) .format("parquet") .start(outputDir) inputData.addData(1, 2, 3) failAfter(streamingTimeout) { query.processAllAvailable() } spark.read.option("basePath", outputDir).parquet(outputDir + "/*").show() } finally { if (query != null) { query.stop() } } } {code} Stack trace {code} [info] - partitioned writing and batch reading with 'basePath' *** FAILED *** (3 seconds, 928 milliseconds) [info] java.lang.AssertionError: assertion failed: Conflicting directory structures detected. Suspicious paths: [info] ***/stream.output-65e3fa45-595a-4d29-b3df-4c001e321637 [info] ***/stream.output-65e3fa45-595a-4d29-b3df-4c001e321637/_spark_metadata [info] [info] If provided paths are partition directories, please set "basePath" in the options of the data source to specify the root directory of the table. If there are multiple root directories, please load them separately and then union them. [info] at scala.Predef$.assert(Predef.scala:170) [info] at org.apache.spark.sql.execution.datasources.PartitioningUtils$.parsePartitions(PartitioningUtils.scala:133) [info] at org.apache.spark.sql.execution.datasources.PartitioningUtils$.parsePartitions(PartitioningUtils.scala:98) [info] at org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex.inferPartitioning(PartitioningAwareFileIndex.scala:156) [info] at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.partitionSpec(InMemoryFileIndex.scala:54) [info] at org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex.partitionSchema(PartitioningAwareFileIndex.scala:55) [info] at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:133) [info] at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:361) [info] at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:160) [info] at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:536) [info] at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:520) [info] at org.apache.spark.sql.streaming.FileStreamSinkSuite$$anonfun$8.apply$mcV$sp(FileStreamSinkSuite.scala:292) [info] at org.apache.spark.sql.streaming.FileStreamSinkSuite$$anonfun$8.apply(FileStreamSinkSuite.scala:268) [info] at org.apache.spark.sql.streaming.FileStreamSinkSuite$$anonfun$8.apply(FileStreamSinkSuite.scala:268) {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org