[jira] [Updated] (SPARK-23340) Upgrade Apache ORC to 1.4.3
[
https://issues.apache.org/jira/browse/SPARK-23340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li updated SPARK-23340:
Fix Version/s: 2.3.1
> Upgrade Apache ORC to 1.4.3
> ---
>
> Key: SPARK-23340
> URL: https://issues.apache.org/jira/browse/SPARK-23340
> Project: Spark
> Issue Type: Bug
> Components: Build, SQL
>Affects Versions: 2.3.0
>Reporter: Dongjoon Hyun
>Assignee: Dongjoon Hyun
>Priority: Major
> Fix For: 2.3.1, 2.4.0
>
>
> This issue updates Apache ORC dependencies to 1.4.3 released on February 9th.
> Apache ORC 1.4.2 release removes unnecessary dependencies and 1.4.3 has 5
> more patches including bug fixes (https://s.apache.org/Fll8).
> Especially, the following ORC-285 is fixed at 1.4.3.
> {code}
> scala> val df = Seq(Array.empty[Float]).toDF()
> scala> df.write.format("orc").save("/tmp/floatarray")
> scala> spark.read.orc("/tmp/floatarray")
> res1: org.apache.spark.sql.DataFrame = [value: array]
> scala> spark.read.orc("/tmp/floatarray").show()
> 18/02/12 22:09:10 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
> java.io.IOException: Error reading file:
> file:/tmp/floatarray/part-0-9c0b461b-4df1-4c23-aac1-3e4f349ac7d6-c000.snappy.orc
> at
> org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1191)
> at
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.ensureBatch(OrcMapreduceRecordReader.java:78)
> ...
> Caused by: java.io.EOFException: Read past EOF for compressed stream Stream
> for column 2 kind DATA position: 0 length: 0 range: 0 offset: 0 limit: 0
> {code}
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[jira] [Updated] (SPARK-23340) Upgrade Apache ORC to 1.4.3
[
https://issues.apache.org/jira/browse/SPARK-23340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li updated SPARK-23340:
Fix Version/s: (was: 2.3.0)
2.4.0
> Upgrade Apache ORC to 1.4.3
> ---
>
> Key: SPARK-23340
> URL: https://issues.apache.org/jira/browse/SPARK-23340
> Project: Spark
> Issue Type: Bug
> Components: Build, SQL
>Affects Versions: 2.3.0
>Reporter: Dongjoon Hyun
>Assignee: Dongjoon Hyun
>Priority: Major
> Fix For: 2.4.0
>
>
> This issue updates Apache ORC dependencies to 1.4.3 released on February 9th.
> Apache ORC 1.4.2 release removes unnecessary dependencies and 1.4.3 has 5
> more patches including bug fixes (https://s.apache.org/Fll8).
> Especially, the following ORC-285 is fixed at 1.4.3.
> {code}
> scala> val df = Seq(Array.empty[Float]).toDF()
> scala> df.write.format("orc").save("/tmp/floatarray")
> scala> spark.read.orc("/tmp/floatarray")
> res1: org.apache.spark.sql.DataFrame = [value: array]
> scala> spark.read.orc("/tmp/floatarray").show()
> 18/02/12 22:09:10 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
> java.io.IOException: Error reading file:
> file:/tmp/floatarray/part-0-9c0b461b-4df1-4c23-aac1-3e4f349ac7d6-c000.snappy.orc
> at
> org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1191)
> at
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.ensureBatch(OrcMapreduceRecordReader.java:78)
> ...
> Caused by: java.io.EOFException: Read past EOF for compressed stream Stream
> for column 2 kind DATA position: 0 length: 0 range: 0 offset: 0 limit: 0
> {code}
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[jira] [Updated] (SPARK-23340) Upgrade Apache ORC to 1.4.3
[
https://issues.apache.org/jira/browse/SPARK-23340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li updated SPARK-23340:
Priority: Major (was: Blocker)
> Upgrade Apache ORC to 1.4.3
> ---
>
> Key: SPARK-23340
> URL: https://issues.apache.org/jira/browse/SPARK-23340
> Project: Spark
> Issue Type: Bug
> Components: Build, SQL
>Affects Versions: 2.3.0
>Reporter: Dongjoon Hyun
>Assignee: Dongjoon Hyun
>Priority: Major
> Fix For: 2.3.0
>
>
> This issue updates Apache ORC dependencies to 1.4.3 released on February 9th.
> Apache ORC 1.4.2 release removes unnecessary dependencies and 1.4.3 has 5
> more patches including bug fixes (https://s.apache.org/Fll8).
> Especially, the following ORC-285 is fixed at 1.4.3.
> {code}
> scala> val df = Seq(Array.empty[Float]).toDF()
> scala> df.write.format("orc").save("/tmp/floatarray")
> scala> spark.read.orc("/tmp/floatarray")
> res1: org.apache.spark.sql.DataFrame = [value: array]
> scala> spark.read.orc("/tmp/floatarray").show()
> 18/02/12 22:09:10 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
> java.io.IOException: Error reading file:
> file:/tmp/floatarray/part-0-9c0b461b-4df1-4c23-aac1-3e4f349ac7d6-c000.snappy.orc
> at
> org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1191)
> at
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.ensureBatch(OrcMapreduceRecordReader.java:78)
> ...
> Caused by: java.io.EOFException: Read past EOF for compressed stream Stream
> for column 2 kind DATA position: 0 length: 0 range: 0 offset: 0 limit: 0
> {code}
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[jira] [Updated] (SPARK-23340) Upgrade Apache ORC to 1.4.3
[
https://issues.apache.org/jira/browse/SPARK-23340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li updated SPARK-23340:
Priority: Blocker (was: Critical)
> Upgrade Apache ORC to 1.4.3
> ---
>
> Key: SPARK-23340
> URL: https://issues.apache.org/jira/browse/SPARK-23340
> Project: Spark
> Issue Type: Bug
> Components: Build, SQL
>Affects Versions: 2.3.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> This issue updates Apache ORC dependencies to 1.4.3 released on February 9th.
> Apache ORC 1.4.2 release removes unnecessary dependencies and 1.4.3 has 5
> more patches including bug fixes (https://s.apache.org/Fll8).
> Especially, the following ORC-285 is fixed at 1.4.3.
> {code}
> scala> val df = Seq(Array.empty[Float]).toDF()
> scala> df.write.format("orc").save("/tmp/floatarray")
> scala> spark.read.orc("/tmp/floatarray")
> res1: org.apache.spark.sql.DataFrame = [value: array]
> scala> spark.read.orc("/tmp/floatarray").show()
> 18/02/12 22:09:10 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
> java.io.IOException: Error reading file:
> file:/tmp/floatarray/part-0-9c0b461b-4df1-4c23-aac1-3e4f349ac7d6-c000.snappy.orc
> at
> org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1191)
> at
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.ensureBatch(OrcMapreduceRecordReader.java:78)
> ...
> Caused by: java.io.EOFException: Read past EOF for compressed stream Stream
> for column 2 kind DATA position: 0 length: 0 range: 0 offset: 0 limit: 0
> {code}
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[jira] [Updated] (SPARK-23340) Upgrade Apache ORC to 1.4.3
[
https://issues.apache.org/jira/browse/SPARK-23340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-23340:
--
Summary: Upgrade Apache ORC to 1.4.3 (was: Empty float/double array
columns in ORC file should not raise EOFException)
> Upgrade Apache ORC to 1.4.3
> ---
>
> Key: SPARK-23340
> URL: https://issues.apache.org/jira/browse/SPARK-23340
> Project: Spark
> Issue Type: Bug
> Components: Build, SQL
>Affects Versions: 2.3.0
>Reporter: Dongjoon Hyun
>Priority: Critical
>
> This issue updates Apache ORC dependencies to 1.4.3 released on February 9th.
> Apache ORC 1.4.2 release removes unnecessary dependencies and 1.4.3 has 5
> more patches including bug fixes (https://s.apache.org/Fll8).
> Especially, the following ORC-285 is fixed at 1.4.3.
> {code}
> scala> val df = Seq(Array.empty[Float]).toDF()
> scala> df.write.format("orc").save("/tmp/floatarray")
> scala> spark.read.orc("/tmp/floatarray")
> res1: org.apache.spark.sql.DataFrame = [value: array]
> scala> spark.read.orc("/tmp/floatarray").show()
> 18/02/12 22:09:10 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
> java.io.IOException: Error reading file:
> file:/tmp/floatarray/part-0-9c0b461b-4df1-4c23-aac1-3e4f349ac7d6-c000.snappy.orc
> at
> org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1191)
> at
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.ensureBatch(OrcMapreduceRecordReader.java:78)
> ...
> Caused by: java.io.EOFException: Read past EOF for compressed stream Stream
> for column 2 kind DATA position: 0 length: 0 range: 0 offset: 0 limit: 0
> {code}
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