[
https://issues.apache.org/jira/browse/SPARK-20593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Viktor Khristenko updated SPARK-20593:
--------------------------------------
Description:
Hi,
This is my first ticket and I apologize for/if I'm doing certain things in an
improper way.
I have a dataset:
root
* muons: array (nullable = true)
* element: struct (containsNull = true)
* reco::Candidate: struct (nullable = true)
* qx3_: integer (nullable = true)
* pt_: float (nullable = true)
* eta_: float (nullable = true)
* phi_: float (nullable = true)
* mass_: float (nullable = true)
* vertex_: struct (nullable = true)
* fCoordinates: struct (nullable = true)
* fX: float (nullable = true)
* fY: float (nullable = true)
* fZ: float (nullable = true)
* pdgId_: integer (nullable = true)
* status_: integer (nullable = true)
* cachePolarFixed_: struct (nullable = true)
* cacheCartesianFixed_: struct (nullable = true)
As you can see, there are 3 empty structs in this schema. I know 100% that I
can read/manipulate/do whatever. However, when I try writing to disk in
parquet, I get the following Exception:
ds.write.format("parquet").save(outputPathName):
java.lang.IllegalStateException: Cannot build an empty group
at org.apache.parquet.Preconditions.checkState(Preconditions.java:91)
at org.apache.parquet.schema.Types$BaseGroupBuilder.build(Types.java:622)
at org.apache.parquet.schema.Types$BaseGroupBuilder.build(Types.java:497)
at org.apache.parquet.schema.Types$Builder.named(Types.java:286)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:535)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:321)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertField$1.apply(ParquetSchemaConverter.scala:534)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertField$1.apply(ParquetSchemaConverter.scala:533)
So, basically I would like to understand if it's a bug or an intended
behavior??? I also assume that it's related to the empty structs. Any help
would be really appreciated!
I've quickly created stripped version and that one works without any issues!
For reference, I put a link to a original question on SO[1]
VK
[1]
http://stackoverflow.com/questions/43767358/apache-spark-parquet-cannot-build-an-empty-group
was:
Hi,
This is my first ticket and I apologize for/if I'm doing certain things in an
improper way.
I have a dataset:
root
* muons: array (nullable = true)
* element: struct (containsNull = true)
* reco::Candidate: struct (nullable = true)
* qx3_: integer (nullable = true)
* pt_: float (nullable = true)
* eta_: float (nullable = true)
* phi_: float (nullable = true)
* mass_: float (nullable = true)
* vertex_: struct (nullable = true)
* fCoordinates: struct (nullable = true)
* fX: float (nullable = true)
* fY: float (nullable = true)
* fZ: float (nullable = true)
* pdgId_: integer (nullable = true)
* status_: integer (nullable = true)
* cachePolarFixed_: struct (nullable = true)
* cacheCartesianFixed_: struct (nullable = true)
As you can see, there are 3 empty structs in this schema. I know 100% that I
can read/manipulate/do whatever. However, when I try writing to disk in
parquet, I get the following Exception:
ds.write.format("parquet").save(outputPathName):
java.lang.IllegalStateException: Cannot build an empty group
at org.apache.parquet.Preconditions.checkState(Preconditions.java:91)
at org.apache.parquet.schema.Types$BaseGroupBuilder.build(Types.java:622)
at org.apache.parquet.schema.Types$BaseGroupBuilder.build(Types.java:497)
at org.apache.parquet.schema.Types$Builder.named(Types.java:286)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:535)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:321)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertField$1.apply(ParquetSchemaConverter.scala:534)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertField$1.apply(ParquetSchemaConverter.scala:533)
So, basically I would like to understand if it's a bug or an intended
behavior??? I also assume that it's related to the empty structs. Any help
would be really appreciated!
I've quickly created stripped version and that one works without any issues!
For reference, I put a link to a original question on SO[1]
VK
[1]
http://stackoverflow.com/questions/43767358/apache-spark-parquet-cannot-build-an-empty-group
> Writing Parquet: Cannot build an empty group
> --------------------------------------------
>
> Key: SPARK-20593
> URL: https://issues.apache.org/jira/browse/SPARK-20593
> Project: Spark
> Issue Type: Question
> Components: Spark Core, Spark Shell
> Affects Versions: 2.1.1
> Environment: I use Apache Spark 2.1.1 (used 2.1.0 and it was the
> same, switched today). Tested only Mac
> Reporter: Viktor Khristenko
> Priority: Minor
>
> Hi,
> This is my first ticket and I apologize for/if I'm doing certain things in an
> improper way.
> I have a dataset:
> root
> * muons: array (nullable = true)
> * element: struct (containsNull = true)
> * reco::Candidate: struct (nullable = true)
> * qx3_: integer (nullable = true)
> * pt_: float (nullable = true)
> * eta_: float (nullable = true)
> * phi_: float (nullable = true)
> * mass_: float (nullable = true)
> * vertex_: struct (nullable = true)
> * fCoordinates: struct (nullable = true)
> * fX: float (nullable = true)
> * fY: float (nullable = true)
> * fZ: float (nullable = true)
> * pdgId_: integer (nullable = true)
> * status_: integer (nullable = true)
> * cachePolarFixed_: struct (nullable = true)
> * cacheCartesianFixed_: struct (nullable = true)
> As you can see, there are 3 empty structs in this schema. I know 100% that I
> can read/manipulate/do whatever. However, when I try writing to disk in
> parquet, I get the following Exception:
> ds.write.format("parquet").save(outputPathName):
> java.lang.IllegalStateException: Cannot build an empty group
> at org.apache.parquet.Preconditions.checkState(Preconditions.java:91)
> at org.apache.parquet.schema.Types$BaseGroupBuilder.build(Types.java:622)
> at org.apache.parquet.schema.Types$BaseGroupBuilder.build(Types.java:497)
> at org.apache.parquet.schema.Types$Builder.named(Types.java:286)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:535)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:321)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertField$1.apply(ParquetSchemaConverter.scala:534)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertField$1.apply(ParquetSchemaConverter.scala:533)
> So, basically I would like to understand if it's a bug or an intended
> behavior??? I also assume that it's related to the empty structs. Any help
> would be really appreciated!
> I've quickly created stripped version and that one works without any issues!
> For reference, I put a link to a original question on SO[1]
> VK
> [1]
> http://stackoverflow.com/questions/43767358/apache-spark-parquet-cannot-build-an-empty-group
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