Hi Michael,
Good to know it is being handled. I tried master branch (9fe693b5) and got
another error:
scala> sqlContext.parquetFile("/tmp/foo")
java.lang.RuntimeException: Unsupported parquet datatype optional
fixed_len_byte_array(4) b
at scala.sys.package$.error(package.scala:27)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$.toPrimitiveDataType(ParquetTypes.scala:58)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$.toDataType(ParquetTypes.scala:109)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$convertToAttributes$1.apply(ParquetTypes.scala:282)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$convertToAttributes$1.apply(ParquetTypes.scala:279)
......
The avro schema I used is something like:
protocol Test {
fixed Bytes4(4);
record User {
string name;
int age;
union {null, int} i;
union {null, int} j;
union {null, Bytes4} b;
union {null, bytes} c;
union {null, int} d;
}
}
Is this case included in SPARK-2446
<https://issues.apache.org/jira/browse/SPARK-2446>?
2014-07-15 3:54 GMT+08:00 Michael Armbrust <mich...@databricks.com>:
> This is not supported yet, but there is a PR open to fix it:
> https://issues.apache.org/jira/browse/SPARK-2446
>
>
> On Mon, Jul 14, 2014 at 4:17 AM, Pei-Lun Lee <pl...@appier.com> wrote:
>
>> Hi,
>>
>> I am using spark-sql 1.0.1 to load parquet files generated from method
>> described in:
>>
>> https://gist.github.com/massie/7224868
>>
>>
>> When I try to submit a select query with columns of type fixed length
>> byte array, the following error pops up:
>>
>>
>> 14/07/14 11:09:14 INFO scheduler.DAGScheduler: Failed to run take at
>> basicOperators.scala:100
>> org.apache.spark.SparkDriverExecutionException: Execution error
>> at
>> org.apache.spark.scheduler.DAGScheduler.runLocallyWithinThread(DAGScheduler.scala:581)
>> at
>> org.apache.spark.scheduler.DAGScheduler$$anon$1.run(DAGScheduler.scala:559)
>> Caused by: parquet.io.ParquetDecodingException: Can not read value at 0
>> in block -1 in file s3n://foo/bar/part-r-00000.snappy.parquet
>> at
>> parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:177)
>> at
>> parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:130)
>> at
>> org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:122)
>> at
>> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>> at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
>> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
>> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>> at
>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>> at
>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>> at
>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>> at scala.collection.TraversableOnce$class.to
>> (TraversableOnce.scala:273)
>> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>> at
>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>> at
>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>> at org.apache.spark.rdd.RDD$$anonfun$27.apply(RDD.scala:989)
>> at org.apache.spark.rdd.RDD$$anonfun$27.apply(RDD.scala:989)
>> at
>> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1083)
>> at
>> org.apache.spark.scheduler.DAGScheduler.runLocallyWithinThread(DAGScheduler.scala:574)
>> ... 1 more
>> Caused by: java.lang.ClassCastException: Expected instance of primitive
>> converter but got
>> "org.apache.spark.sql.parquet.CatalystNativeArrayConverter"
>> at
>> parquet.io.api.Converter.asPrimitiveConverter(Converter.java:30)
>> at
>> parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:264)
>> at
>> parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:60)
>> at
>> parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:74)
>> at
>> parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:110)
>> at
>> parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:172)
>> ... 24 more
>>
>>
>> Is fixed length byte array supposed to work in this version? I noticed
>> that other array types like int or string already work.
>>
>> Thanks,
>> --
>> Pei-Lun
>>
>>
>
