java.lang.Long cannot be cast to java.lang.Double ERROR when using MAX()

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Since the update of Cloud Dataprep yesterday 19/11/2018, I got an error everytime I'm using the function MAX(), either alone or in pivot.

Some notes :

I used the MAX function on another dataset and it was working. ( So max() works )

I didn't have this issue before the update of dataprep yesterday, the
flow was working.

I tried many time to edit the recipe to isolate the
issue but it seems to be that MAX() function

The column i'm using MAX() on are of type INT. i tried to convert INT->
FLOAT -> INT to make sure it's INT before using MAX() but keep getting the same issue

Here is the log

java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Double

    at com.trifacta.google.dataflow.functions.MaxCombineFn.binaryOperation(MaxCombineFn.java:18)

    at com.trifacta.google.dataflow.functions.BinaryOperationCombineFn.addInput(BinaryOperationCombineFn.java:60)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:295)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:212)

    at org.apache.beam.runners.core.GlobalCombineFnRunners$CombineFnRunner.addInput(GlobalCombineFnRunners.java:109)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:163)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:141)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$CombiningGroupingTable$1.add(GroupingTables.java:385)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:230)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:210)

    at com.google.cloud.dataflow.worker.util.common.worker.SimplePartialGroupByKeyParDoFn.processElement(SimplePartialGroupByKeyParDoFn.java:35)

    at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)

    at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)

    at com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)

    at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:309)

    at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:77)

    at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:621)

    at org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:71)

    at org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:128)

edited Nov 21 at 3:54

Iñigo

772314

asked Nov 20 at 9:23

Fontain

112

I edited my answer so you know that the issue is now fixed.
– Iñigo
Nov 21 at 8:14

add a comment |

up vote
2
down vote

favorite

Since the update of Cloud Dataprep yesterday 19/11/2018, I got an error everytime I'm using the function MAX(), either alone or in pivot.

Some notes :

I used the MAX function on another dataset and it was working. ( So max() works )

I didn't have this issue before the update of dataprep yesterday, the
flow was working.

I tried many time to edit the recipe to isolate the
issue but it seems to be that MAX() function

The column i'm using MAX() on are of type INT. i tried to convert INT->
FLOAT -> INT to make sure it's INT before using MAX() but keep getting the same issue

Here is the log

java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Double

    at com.trifacta.google.dataflow.functions.MaxCombineFn.binaryOperation(MaxCombineFn.java:18)

    at com.trifacta.google.dataflow.functions.BinaryOperationCombineFn.addInput(BinaryOperationCombineFn.java:60)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:295)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:212)

    at org.apache.beam.runners.core.GlobalCombineFnRunners$CombineFnRunner.addInput(GlobalCombineFnRunners.java:109)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:163)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:141)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$CombiningGroupingTable$1.add(GroupingTables.java:385)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:230)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:210)

    at com.google.cloud.dataflow.worker.util.common.worker.SimplePartialGroupByKeyParDoFn.processElement(SimplePartialGroupByKeyParDoFn.java:35)

    at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)

    at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)

    at com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)

    at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:309)

    at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:77)

    at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:621)

    at org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:71)

    at org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:128)

edited Nov 21 at 3:54

Iñigo

772314

asked Nov 20 at 9:23

Fontain

112

I edited my answer so you know that the issue is now fixed.
– Iñigo
Nov 21 at 8:14

add a comment |

up vote
2
down vote

favorite

Since the update of Cloud Dataprep yesterday 19/11/2018, I got an error everytime I'm using the function MAX(), either alone or in pivot.

Some notes :

I used the MAX function on another dataset and it was working. ( So max() works )

I didn't have this issue before the update of dataprep yesterday, the
flow was working.

I tried many time to edit the recipe to isolate the
issue but it seems to be that MAX() function

The column i'm using MAX() on are of type INT. i tried to convert INT->
FLOAT -> INT to make sure it's INT before using MAX() but keep getting the same issue

Here is the log

java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Double

    at com.trifacta.google.dataflow.functions.MaxCombineFn.binaryOperation(MaxCombineFn.java:18)

    at com.trifacta.google.dataflow.functions.BinaryOperationCombineFn.addInput(BinaryOperationCombineFn.java:60)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:295)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:212)

    at org.apache.beam.runners.core.GlobalCombineFnRunners$CombineFnRunner.addInput(GlobalCombineFnRunners.java:109)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:163)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:141)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$CombiningGroupingTable$1.add(GroupingTables.java:385)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:230)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:210)

    at com.google.cloud.dataflow.worker.util.common.worker.SimplePartialGroupByKeyParDoFn.processElement(SimplePartialGroupByKeyParDoFn.java:35)

    at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)

    at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)

    at com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)

    at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:309)

    at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:77)

    at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:621)

    at org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:71)

    at org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:128)

edited Nov 21 at 3:54

Iñigo

772314

asked Nov 20 at 9:23

Fontain

112

Since the update of Cloud Dataprep yesterday 19/11/2018, I got an error everytime I'm using the function MAX(), either alone or in pivot.

Some notes :

I used the MAX function on another dataset and it was working. ( So max() works )

I didn't have this issue before the update of dataprep yesterday, the
flow was working.

I tried many time to edit the recipe to isolate the
issue but it seems to be that MAX() function

The column i'm using MAX() on are of type INT. i tried to convert INT->
FLOAT -> INT to make sure it's INT before using MAX() but keep getting the same issue

Here is the log

java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Double

    at com.trifacta.google.dataflow.functions.MaxCombineFn.binaryOperation(MaxCombineFn.java:18)

    at com.trifacta.google.dataflow.functions.BinaryOperationCombineFn.addInput(BinaryOperationCombineFn.java:60)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:295)

    at org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:212)

    at org.apache.beam.runners.core.GlobalCombineFnRunners$CombineFnRunner.addInput(GlobalCombineFnRunners.java:109)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:163)

    at com.google.cloud.dataflow.worker.PartialGroupByKeyParDoFns$ValueCombiner.add(PartialGroupByKeyParDoFns.java:141)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$CombiningGroupingTable$1.add(GroupingTables.java:385)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:230)

    at com.google.cloud.dataflow.worker.util.common.worker.GroupingTables$GroupingTableBase.put(GroupingTables.java:210)

    at com.google.cloud.dataflow.worker.util.common.worker.SimplePartialGroupByKeyParDoFn.processElement(SimplePartialGroupByKeyParDoFn.java:35)

    at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)

    at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)

    at com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)

    at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:309)

    at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:77)

    at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:621)

    at org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:71)

    at org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:128)

google-cloud-dataprep

edited Nov 21 at 3:54

Iñigo

772314

asked Nov 20 at 9:23

Fontain

112

edited Nov 21 at 3:54

Iñigo

772314

asked Nov 20 at 9:23

Fontain

112

edited Nov 21 at 3:54

Iñigo

772314

edited Nov 21 at 3:54

Iñigo

772314

edited Nov 21 at 3:54

Iñigo

772314

asked Nov 20 at 9:23

Fontain

112

asked Nov 20 at 9:23

Fontain

112

asked Nov 20 at 9:23

Fontain

112

I edited my answer so you know that the issue is now fixed.
– Iñigo
Nov 21 at 8:14

add a comment |

I edited my answer so you know that the issue is now fixed.
– Iñigo
Nov 21 at 8:14

I edited my answer so you know that the issue is now fixed.
– Iñigo
Nov 21 at 8:14

add a comment |

1 Answer
1

active

oldest

votes

up vote
0
down vote

I'm with Google Cloud Platform Support.

This is is an internal issue that happened after the update on the 19th (as you said). We know about this and we are working along the Trifacta team (as this is a third party product developed and managed by them).

There is a Public Issue regarding this, feel free to add info or anything you feel is needed.

EDIT: The issue is fixed now, could you try now and tell me if it worked?

edited Nov 21 at 8:13

answered Nov 20 at 15:58

Iñigo

772314

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

up vote
0
down vote

I'm with Google Cloud Platform Support.

There is a Public Issue regarding this, feel free to add info or anything you feel is needed.

EDIT: The issue is fixed now, could you try now and tell me if it worked?

edited Nov 21 at 8:13

answered Nov 20 at 15:58

Iñigo

772314

add a comment |

up vote
0
down vote

I'm with Google Cloud Platform Support.

There is a Public Issue regarding this, feel free to add info or anything you feel is needed.

EDIT: The issue is fixed now, could you try now and tell me if it worked?

edited Nov 21 at 8:13

answered Nov 20 at 15:58

Iñigo

772314

add a comment |

up vote
0
down vote

I'm with Google Cloud Platform Support.

There is a Public Issue regarding this, feel free to add info or anything you feel is needed.

EDIT: The issue is fixed now, could you try now and tell me if it worked?

edited Nov 21 at 8:13

answered Nov 20 at 15:58

Iñigo

772314

I'm with Google Cloud Platform Support.

There is a Public Issue regarding this, feel free to add info or anything you feel is needed.

EDIT: The issue is fixed now, could you try now and tell me if it worked?

edited Nov 21 at 8:13

answered Nov 20 at 15:58

Iñigo

772314

edited Nov 21 at 8:13

answered Nov 20 at 15:58

Iñigo

772314

answered Nov 20 at 15:58

Iñigo

772314

answered Nov 20 at 15:58

Iñigo

772314

add a comment |

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