[jira] [Assigned] (SPARK-23434) Spark should not warn `metadata directory` for a HDFS file path
[ https://issues.apache.org/jira/browse/SPARK-23434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shixiong Zhu reassigned SPARK-23434: Assignee: Dongjoon Hyun > Spark should not warn `metadata directory` for a HDFS file path > --- > > Key: SPARK-23434 > URL: https://issues.apache.org/jira/browse/SPARK-23434 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.2, 2.1.2, 2.2.1, 2.3.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Major > Fix For: 2.4.0 > > > In a kerberized cluster, when Spark reads a file path (e.g. `people.json`), > it warns with a wrong error message during looking up > `people.json/_spark_metadata`. The root cause of this istuation is the > difference between `LocalFileSystem` and `DistributedFileSystem`. > `LocalFileSystem.exists()` returns `false`, but > `DistributedFileSystem.exists` raises Exception. > {code} > scala> spark.version > res0: String = 2.4.0-SNAPSHOT > scala> > spark.read.json("file:///usr/hdp/current/spark-client/examples/src/main/resources/people.json").show > ++---+ > | age| name| > ++---+ > |null|Michael| > | 30| Andy| > | 19| Justin| > ++---+ > scala> spark.read.json("hdfs:///tmp/people.json") > 18/02/15 05:00:48 WARN streaming.FileStreamSink: Error while looking for > metadata directory. > 18/02/15 05:00:48 WARN streaming.FileStreamSink: Error while looking for > metadata directory. > res6: org.apache.spark.sql.DataFrame = [age: bigint, name: string] > {code} > {code} > scala> spark.version > res0: String = 2.2.1 > scala> spark.read.json("hdfs:///tmp/people.json").show > 18/02/15 05:28:02 WARN FileStreamSink: Error while looking for metadata > directory. > 18/02/15 05:28:02 WARN FileStreamSink: Error while looking for metadata > directory. > {code} > {code} > scala> spark.version > res0: String = 2.1.2 > scala> spark.read.json("hdfs:///tmp/people.json").show > 18/02/15 05:29:53 WARN DataSource: Error while looking for metadata directory. > ++---+ > | age| name| > ++---+ > |null|Michael| > | 30| Andy| > | 19| Justin| > ++---+ > {code} > {code} > scala> spark.version > res0: String = 2.0.2 > scala> spark.read.json("hdfs:///tmp/people.json").show > 18/02/15 05:25:24 WARN DataSource: Error while looking for metadata directory. > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23434) Spark should not warn `metadata directory` for a HDFS file path
[ https://issues.apache.org/jira/browse/SPARK-23434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23434: Assignee: (was: Apache Spark) > Spark should not warn `metadata directory` for a HDFS file path > --- > > Key: SPARK-23434 > URL: https://issues.apache.org/jira/browse/SPARK-23434 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.1.2, 2.2.1, 2.3.0 >Reporter: Dongjoon Hyun >Priority: Major > > When Spark reads a file path (e.g. `people.json`), it warns with a wrong > error message during looking up `people.json/_spark_metadata`. The root cause > of this istuation is the difference between `LocalFileSystem` and > `DistributedFileSystem`. `LocalFileSystem.exists()` returns `false`, but > `DistributedFileSystem.exists` raises Exception. > {code} > scala> spark.version > res0: String = 2.4.0-SNAPSHOT > scala> > spark.read.json("file:///usr/hdp/current/spark-client/examples/src/main/resources/people.json").show > ++---+ > | age| name| > ++---+ > |null|Michael| > | 30| Andy| > | 19| Justin| > ++---+ > scala> spark.read.json("hdfs:///tmp/people.json") > 18/02/15 05:00:48 WARN streaming.FileStreamSink: Error while looking for > metadata directory. > 18/02/15 05:00:48 WARN streaming.FileStreamSink: Error while looking for > metadata directory. > res6: org.apache.spark.sql.DataFrame = [age: bigint, name: string] > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23434) Spark should not warn `metadata directory` for a HDFS file path
[ https://issues.apache.org/jira/browse/SPARK-23434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23434: Assignee: Apache Spark > Spark should not warn `metadata directory` for a HDFS file path > --- > > Key: SPARK-23434 > URL: https://issues.apache.org/jira/browse/SPARK-23434 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.1.2, 2.2.1, 2.3.0 >Reporter: Dongjoon Hyun >Assignee: Apache Spark >Priority: Major > > When Spark reads a file path (e.g. `people.json`), it warns with a wrong > error message during looking up `people.json/_spark_metadata`. The root cause > of this istuation is the difference between `LocalFileSystem` and > `DistributedFileSystem`. `LocalFileSystem.exists()` returns `false`, but > `DistributedFileSystem.exists` raises Exception. > {code} > scala> spark.version > res0: String = 2.4.0-SNAPSHOT > scala> > spark.read.json("file:///usr/hdp/current/spark-client/examples/src/main/resources/people.json").show > ++---+ > | age| name| > ++---+ > |null|Michael| > | 30| Andy| > | 19| Justin| > ++---+ > scala> spark.read.json("hdfs:///tmp/people.json") > 18/02/15 05:00:48 WARN streaming.FileStreamSink: Error while looking for > metadata directory. > 18/02/15 05:00:48 WARN streaming.FileStreamSink: Error while looking for > metadata directory. > res6: org.apache.spark.sql.DataFrame = [age: bigint, name: string] > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org