[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
