spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-23434) Spark should not warn `metadata directory` for a HDFS file path
Date Thu, 15 Feb 2018 05:31:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dongjoon Hyun updated SPARK-23434:
----------------------------------
    Description: 
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}

  was:
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.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|
+----+-------+


scala> spark.version
res1: String = 2.1.2
{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}


> 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
>            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}
> {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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message