[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-33822:
---
Labels: pull-request-available (was: )
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Assignee: Takeshi Yamamuro
>Priority: Blocker
> Labels: pull-request-available
> Fix For: 3.0.2, 3.1.0
>
>
> **PROBLEM STATEMENT**
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Fix Version/s: 3.0.2
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Assignee: Takeshi Yamamuro
>Priority: Blocker
> Fix For: 3.0.2, 3.1.0
>
>
> **PROBLEM STATEMENT**
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Target Version/s: 3.0.2, 3.1.0 (was: 3.2.0)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Assignee: Takeshi Yamamuro
>Priority: Blocker
> Fix For: 3.1.0
>
>
> **PROBLEM STATEMENT**
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Fix Version/s: (was: 3.0.2)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Assignee: Takeshi Yamamuro
>Priority: Blocker
> Fix For: 3.1.0
>
>
> **PROBLEM STATEMENT**
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Parent: SPARK-33828
Issue Type: Sub-task (was: Bug)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> **PROBLEM STATEMENT**
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Description:
**PROBLEM STATEMENT**
{code}
>>> tables = ['call_center', 'catalog_page', 'catalog_returns',
>>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
>>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
>>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
>>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
>>> 'web_sales', 'web_site']
>>> for t in tables:
... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
'/Users/dongjoon/data/10g/%s'" % (t, t))
>>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
+---++-+---+-+
|channel| id|sales|returns| profit|
+---++-+---+-+
| null|null|1143646603.07|30617460.71|-317540732.87|
|catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
|catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
...
+---++-+---+-+
>>> sql("set spark.sql.adaptive.enabled=true")
>>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
Traceback (most recent call last):
File "", line 1, in
File
"/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
line 440, in show
print(self._jdf.showString(n, 20, vertical))
File
"/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
line 1305, in __call__
File
"/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
line 128, in deco
return f(*a, **kw)
File
"/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
: java.lang.UnsupportedOperationException: BroadcastExchange does not support
the execute() code path.
at
org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
at
org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
at
org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
at
org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
at
org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
at
org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$1(SQLExecution.scala:182)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
**[~maropu]'s Analysis**
This ticket aims at fixing the bug that throws a unsupported exception when
running the TPCDS q5 with AQE
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Affects Version/s: 3.0.0
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Target Version/s: 3.2.0 (was: 3.0.2, 3.2.0)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-33822:
--
Target Version/s: 3.0.2, 3.2.0 (was: 3.2.0)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-33822:
-
Target Version/s: 3.2.0
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-33822:
-
Priority: Blocker (was: Critical)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
> at
>
[jira] [Updated] (SPARK-33822) TPCDS Q5 fails if spark.sql.adaptive.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-33822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-33822:
-
Priority: Critical (was: Major)
> TPCDS Q5 fails if spark.sql.adaptive.enabled=true
> -
>
> Key: SPARK-33822
> URL: https://issues.apache.org/jira/browse/SPARK-33822
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.0.1, 3.1.0, 3.2.0
>Reporter: Dongjoon Hyun
>Priority: Critical
>
> {code}
> >>> tables = ['call_center', 'catalog_page', 'catalog_returns',
> >>> 'catalog_sales', 'customer', 'customer_address', 'customer_demographics',
> >>> 'date_dim', 'household_demographics', 'income_band', 'inventory', 'item',
> >>> 'promotion', 'reason', 'ship_mode', 'store', 'store_returns',
> >>> 'store_sales', 'time_dim', 'warehouse', 'web_page', 'web_returns',
> >>> 'web_sales', 'web_site']
> >>> for t in tables:
> ... spark.sql("CREATE TABLE %s USING PARQUET LOCATION
> '/Users/dongjoon/data/10g/%s'" % (t, t))
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> +---++-+---+-+
> |channel| id|sales|returns| profit|
> +---++-+---+-+
> | null|null|1143646603.07|30617460.71|-317540732.87|
> |catalog channel|null| 393609478.06| 9451732.79| -44801262.72|
> |catalog channel|catalog_pageA...| 0.00| 39037.48|-25330.29|
> ...
> +---++-+---+-+
> >>> sql("set spark.sql.adaptive.enabled=true")
> >>> spark.sql(spark.sparkContext.wholeTextFiles("/Users/dongjoon/data/query/q5.sql").take(1)[0][1]).show(1)
> Traceback (most recent call last):
> File "", line 1, in
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/dataframe.py",
> line 440, in show
> print(self._jdf.showString(n, 20, vertical))
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/pyspark/sql/utils.py",
> line 128, in deco
> return f(*a, **kw)
> File
> "/Users/dongjoon/APACHE/spark-release/spark-3.0.1-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o160.showString.
> : java.lang.UnsupportedOperationException: BroadcastExchange does not support
> the execute() code path.
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecute(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.exchange.ReusedExchangeExec.doExecute(Exchange.scala:61)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.adaptive.QueryStageExec.doExecute(QueryStageExec.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
> at
> org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectIterator(SparkPlan.scala:392)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.$anonfun$relationFuture$1(BroadcastExchangeExec.scala:120)
> at
>
