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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/12/17 06:49:00 UTC
[jira] [Created] (SPARK-33822) TPCDS Q5 fails if
spark.sql.adaptive.enabled=true
Dongjoon Hyun created SPARK-33822:
-------------------------------------
Summary: 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
{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(10000)
+---------------+--------------------+-------------+-----------+-------------+
| 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_pageAAAAA...| 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(10000)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
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}
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