We are looking at the issue and will likely fix it for Spark 1.3.1.
On Thu, Mar 12, 2015 at 8:25 PM, giive chen <thegi...@gmail.com> wrote:
> Hi all
>
> My team has the same issue. It looks like Spark 1.3's sparkSQL cannot read
> parquet file generated by Spark 1.1. It will cost a lot of migration work
> when we wanna to upgrade Spark 1.3.
>
> Is there anyone can help me?
>
>
> Thanks
>
> Wisely Chen
>
>
> On Tue, Mar 10, 2015 at 5:06 PM, Pei-Lun Lee <pl...@appier.com> wrote:
>
> > Hi,
> >
> > I found that if I try to read parquet file generated by spark 1.1.1 using
> > 1.3.0-rc3 by default settings, I got this error:
> >
> > com.fasterxml.jackson.core.JsonParseException: Unrecognized token
> > 'StructType': was expecting ('true', 'false' or 'null')
> > at [Source: StructType(List(StructField(a,IntegerType,false))); line: 1,
> > column: 11]
> > at
> >
> com.fasterxml.jackson.core.JsonParser._constructError(JsonParser.java:1419)
> > at
> >
> >
> com.fasterxml.jackson.core.base.ParserMinimalBase._reportError(ParserMinimalBase.java:508)
> > at
> >
> >
> com.fasterxml.jackson.core.json.ReaderBasedJsonParser._reportInvalidToken(ReaderBasedJsonParser.java:2300)
> > at
> >
> >
> com.fasterxml.jackson.core.json.ReaderBasedJsonParser._handleOddValue(ReaderBasedJsonParser.java:1459)
> > at
> >
> >
> com.fasterxml.jackson.core.json.ReaderBasedJsonParser.nextToken(ReaderBasedJsonParser.java:683)
> > at
> >
> >
> com.fasterxml.jackson.databind.ObjectMapper._initForReading(ObjectMapper.java:3105)
> > at
> >
> >
> com.fasterxml.jackson.databind.ObjectMapper._readMapAndClose(ObjectMapper.java:3051)
> > at
> >
> >
> com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:2161)
> > at
> org.json4s.jackson.JsonMethods$class.parse(JsonMethods.scala:19)
> > at org.json4s.jackson.JsonMethods$.parse(JsonMethods.scala:44)
> > at
> > org.apache.spark.sql.types.DataType$.fromJson(dataTypes.scala:41)
> > at
> >
> >
> org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$readSchema$1$$anonfun$25.apply(newParquet.scala:675)
> > at
> >
> >
> org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$readSchema$1$$anonfun$25.apply(newParquet.scala:675)
> >
> >
> >
> > this is how I save parquet file with 1.1.1:
> >
> > sql("select 1 as a").saveAsParquetFile("/tmp/foo")
> >
> >
> >
> > and this is the meta data of the 1.1.1 parquet file:
> >
> > creator: parquet-mr version 1.4.3
> > extra: org.apache.spark.sql.parquet.row.metadata =
> > StructType(List(StructField(a,IntegerType,false)))
> >
> >
> >
> > by comparison, this is 1.3.0 meta:
> >
> > creator: parquet-mr version 1.6.0rc3
> > extra: org.apache.spark.sql.parquet.row.metadata =
> > {"type":"struct","fields":[{"name":"a","type":"integer","nullable":t
> > [more]...
> >
> >
> >
> > It looks like now ParquetRelation2 is used to load parquet file by
> default
> > and it only recognizes JSON format schema but 1.1.1 schema was case class
> > string format.
> >
> > Setting spark.sql.parquet.useDataSourceApi to false will fix it, but I
> > don't know the differences.
> > Is this considered a bug? We have a lot of parquet files from 1.1.1,
> should
> > we disable data source api in order to read them if we want to upgrade to
> > 1.3?
> >
> > Thanks,
> > --
> > Pei-Lun
> >
>
