[jira] [Comment Edited] (SPARK-21550) approxQuantiles throws "next on empty iterator" on empty data
[ https://issues.apache.org/jira/browse/SPARK-21550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16374218#comment-16374218 ] Javier edited comment on SPARK-21550 at 2/23/18 10:59 AM: -- I still observe this behavior in 2.2.0 when approxQuantile is applied to a single column that only contains None's: {code:java} ... File "/pyspark.zip/pyspark/sql/dataframe.py", line 1402, in approxQuantile File "/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in _call_ File "/pyspark.zip/pyspark/sql/utils.py", line 63, in deco File "/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o202.approxQuantile. : java.util.NoSuchElementException: next on empty iterator at scala.collection.Iterator$$anon$2.next(Iterator.scala:39) at scala.collection.Iterator$$anon$2.next(Iterator.scala:37) at scala.collection.IndexedSeqLike$Elements.next(IndexedSeqLike.scala:63) at scala.collection.IterableLike$class.head(IterableLike.scala:107) at scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$super$head(ArrayOps.scala:186) at scala.collection.IndexedSeqOptimized$class.head(IndexedSeqOptimized.scala:126) at scala.collection.mutable.ArrayOps$ofRef.head(ArrayOps.scala:186) at scala.collection.TraversableLike$class.last(TraversableLike.scala:431) at scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$super$last(ArrayOps.scala:186) at scala.collection.IndexedSeqOptimized$class.last(IndexedSeqOptimized.scala:132) at scala.collection.mutable.ArrayOps$ofRef.last(ArrayOps.scala:186) at org.apache.spark.sql.catalyst.util.QuantileSummaries.query(QuantileSummaries.scala:207) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply$mcDD$sp(StatFunctions.scala:92) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(StatFunctions.scala:92) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(StatFunctions.scala:92) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1.apply(StatFunctions.scala:92) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1.apply(StatFunctions.scala:92) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) at org.apache.spark.sql.execution.stat.StatFunctions$.multipleApproxQuantiles(StatFunctions.scala:92) at org.apache.spark.sql.DataFrameStatFunctions.approxQuantile(DataFrameStatFunctions.scala:73) at org.apache.spark.sql.DataFrameStatFunctions.approxQuantile(DataFrameStatFunctions.scala:84) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Thread.java:748){code} was (Author: jabot): I still observe this behavior in 2.2.0 when approxQuantile is applied to a single column that only contains None's: \{{}} {code:java} ... File "/pyspark.zip/pyspark/sql/dataframe.py", line 1402, in approxQuantile File "/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in _call_ File "/pyspark.zip/pyspark/sql/utils.py", line 63, in deco File "/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o202.approxQuantile. : java.util.NoSuchElementE
[jira] [Comment Edited] (SPARK-21550) approxQuantiles throws "next on empty iterator" on empty data
[ https://issues.apache.org/jira/browse/SPARK-21550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16374218#comment-16374218 ] Javier edited comment on SPARK-21550 at 2/23/18 10:58 AM: -- I still observe this behavior in 2.2.0 when approxQuantile is applied to a single column that only contains None's: \{{}} {code:java} ... File "/pyspark.zip/pyspark/sql/dataframe.py", line 1402, in approxQuantile File "/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in _call_ File "/pyspark.zip/pyspark/sql/utils.py", line 63, in deco File "/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o202.approxQuantile. : java.util.NoSuchElementException: next on empty iterator at scala.collection.Iterator$$anon$2.next(Iterator.scala:39) at scala.collection.Iterator$$anon$2.next(Iterator.scala:37) at scala.collection.IndexedSeqLike$Elements.next(IndexedSeqLike.scala:63) at scala.collection.IterableLike$class.head(IterableLike.scala:107) at scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$super$head(ArrayOps.scala:186) at scala.collection.IndexedSeqOptimized$class.head(IndexedSeqOptimized.scala:126) at scala.collection.mutable.ArrayOps$ofRef.head(ArrayOps.scala:186) at scala.collection.TraversableLike$class.last(TraversableLike.scala:431) at scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$super$last(ArrayOps.scala:186) at scala.collection.IndexedSeqOptimized$class.last(IndexedSeqOptimized.scala:132) at scala.collection.mutable.ArrayOps$ofRef.last(ArrayOps.scala:186) at org.apache.spark.sql.catalyst.util.QuantileSummaries.query(QuantileSummaries.scala:207) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply$mcDD$sp(StatFunctions.scala:92) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(StatFunctions.scala:92) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(StatFunctions.scala:92) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1.apply(StatFunctions.scala:92) at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1.apply(StatFunctions.scala:92) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) at org.apache.spark.sql.execution.stat.StatFunctions$.multipleApproxQuantiles(StatFunctions.scala:92) at org.apache.spark.sql.DataFrameStatFunctions.approxQuantile(DataFrameStatFunctions.scala:73) at org.apache.spark.sql.DataFrameStatFunctions.approxQuantile(DataFrameStatFunctions.scala:84) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Thread.java:748){code} was (Author: jabot): I still observe this behavior in 2.2.0 when approxQuantile is applied to a single column that only contains None's: {{}} {code:java} ... File "/mnt/yarn/usercache/hadoop/appcache/application_1519290822117_0043/container_1519290822117_0043_01_01/pyspark.zip/pyspark/sql/dataframe.py", line 1402, in approxQuantile File "/mnt/yarn/usercache/hadoop/appcache/application_1519290822117_0043/container_1519290822117_0043_01_01/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in _call_ File "/mnt/yarn/usercache/had