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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/08/09 01:09:01 UTC
[jira] [Resolved] (SPARK-21666) Cannot handle Parquet type
FIXED_LEN_BYTE_ARRAY
[ https://issues.apache.org/jira/browse/SPARK-21666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-21666.
----------------------------------
Resolution: Duplicate
> Cannot handle Parquet type FIXED_LEN_BYTE_ARRAY
> -----------------------------------------------
>
> Key: SPARK-21666
> URL: https://issues.apache.org/jira/browse/SPARK-21666
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Paul Praet
>
> I have a parquet schema that looks like this:
> {{ optional group connection {
> required fixed_len_byte_array(6) localMacAddress;
> required fixed_len_byte_array(6) remoteMacAddress;
> }
> }}
> When I try to load this parquet file in Spark, I get:
> Caused by: org.apache.spark.sql.AnalysisException: Illegal Parquet type: FIXED_LEN_BYTE_ARRAY;
> at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.illegalType$1(ParquetSchemaConverter.scala:126)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertPrimitiveField(ParquetSchemaConverter.scala:193)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:108)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$2.apply(ParquetSchemaConverter.scala:90)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$2.apply(ParquetSchemaConverter.scala:84)
> We are not able to change the schema so this issue prevents us from processing the data.
> Duplicate of https://issues.apache.org/jira/browse/SPARK-2489
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