[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-9280:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-9410
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 1.3.1, 1.4.1
Reporter: Tien-Dung LE
In a spark session, stopping a spark context and create a new spark context
and hive context does not clean the spark sql configuration. More precisely,
the new hive context still keeps the previous configuration settings. It
would be great if someone can let us know how to avoid this situation.
{code:title=New hive context should not load the configurations from history}
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
sqlContext2.setConf( foo, foo)
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Description:
In a spark session, stopping a spark context and create a new spark context and
hive context does not clean the spark sql configuration. More precisely, the
new hive context still keeps the previous configuration settings. It would be
great if someone can let us know how to avoid this situation.
{code:title=New hive context should not load the configurations from history}
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
sqlContext2.setConf( foo, foo)
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
was:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
sqlContext2.setConf( foo, foo)
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1, 1.4.1
Reporter: Tien-Dung LE
In a spark session, stopping a spark context and create a new spark context
and hive context does not clean the spark sql configuration. More precisely,
the new hive context still keeps the previous configuration settings. It
would be great if someone can let us know how to avoid this situation.
{code:title=New hive context should not load the configurations from history}
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
sqlContext2.setConf( foo, foo)
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Description:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
sqlContext2.setConf( foo, foo)
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
was:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1, 1.4.1
Reporter: Tien-Dung LE
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
sqlContext2.setConf( foo, foo)
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
--
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Affects Version/s: 1.4.1
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1, 1.4.1
Reporter: Tien-Dung LE
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
--
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Affects Version/s: 1.3.1
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Affects Versions: 1.3.1
Reporter: Tien-Dung LE
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. Here is a code to show this scenario.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Description:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
was:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Reporter: Tien-Dung LE
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
// got 20 as expected
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
--
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Component/s: SQL
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Reporter: Tien-Dung LE
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. Here is a code to show this scenario.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
--
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[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history
[
https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tien-Dung LE updated SPARK-9280:
Description:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
was:
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. Here is a code to show this scenario.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
New HiveContext object unexpectedly loads configuration settings from history
--
Key: SPARK-9280
URL: https://issues.apache.org/jira/browse/SPARK-9280
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Reporter: Tien-Dung LE
In a spark-shell session, stopping a spark context and create a new spark
context and hive context does not clean the spark sql configuration. More
precisely, the new hive context still keeps the previous configuration
settings. It would be great if someone can let us know how to avoid this
situation.
{code:title=New hive context should not load the configurations from history}
case class Foo ( x: Int = (math.random * 1e3).toInt)
val foo = (1 to 100).map(i = Foo()).toDF
foo.saveAsParquetFile( foo )
sqlContext.setConf( spark.sql.shuffle.partitions, 10)
sc.stop
val sparkConf2 = new org.apache.spark.SparkConf()
val sc2 = new org.apache.spark.SparkContext( sparkConf2 )
val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
sqlContext2.getConf( spark.sql.shuffle.partitions, 20)
val foo2 = sqlContext2.parquetFile( foo )
sqlContext2.getConf( spark.sql.shuffle.partitions, 30)
// expected 30 but got 10
{code}
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