[GitHub] [spark] wangyum opened a new pull request #24422: [SPARK-27524][BUILD] Remove the parquet-provided support

[GitBox <gi...@apache.org>]

wangyum opened a new pull request #24422: [SPARK-27524][BUILD] Remove the parquet-provided support
URL: https://github.com/apache/spark/pull/24422
 
 
   ## What changes were proposed in this pull request?
   
   The Parquet file format is the default data source to use in input/output.
   The `parquet-provided` profile will be confusing for end users:
   1. Build Spark with `parquet-provided`:
   ```
   ./dev/make-distribution.sh --name 2.7 --tgz -Phadoop-2.7 -Phive -Pparquet-provided
   ```
   2. Save the ML model:
   ```java
   scala> model.save("/tmp/spark/w2v")
   java.util.ServiceConfigurationError: org.apache.spark.sql.sources.DataSourceRegister: Provider org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat could not be instantiated
     at java.util.ServiceLoader.fail(ServiceLoader.java:232)
     at java.util.ServiceLoader.access$100(ServiceLoader.java:185)
     at java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:384)
     at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:404)
     at java.util.ServiceLoader$1.next(ServiceLoader.java:480)
     at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:44)
     at scala.collection.Iterator.foreach(Iterator.scala:941)
     at scala.collection.Iterator.foreach$(Iterator.scala:941)
     at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
     at scala.collection.IterableLike.foreach(IterableLike.scala:74)
     at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
     at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
     at scala.collection.TraversableLike.filterImpl(TraversableLike.scala:250)
     at scala.collection.TraversableLike.filterImpl$(TraversableLike.scala:248)
     at scala.collection.AbstractTraversable.filterImpl(Traversable.scala:108)
     at scala.collection.TraversableLike.filter(TraversableLike.scala:262)
     at scala.collection.TraversableLike.filter$(TraversableLike.scala:262)
     at scala.collection.AbstractTraversable.filter(Traversable.scala:108)
     at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:632)
     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:252)
     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233)
     at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:607)
     at org.apache.spark.ml.feature.Word2VecModel$Word2VecModelWriter.saveImpl(Word2Vec.scala:352)
     at org.apache.spark.ml.util.MLWriter.save(ReadWrite.scala:168)
     at org.apache.spark.ml.util.MLWritable.save(ReadWrite.scala:287)
     at org.apache.spark.ml.util.MLWritable.save$(ReadWrite.scala:287)
     at org.apache.spark.ml.feature.Word2VecModel.save(Word2Vec.scala:210)
     ... 47 elided
   Caused by: java.lang.NoClassDefFoundError: org/apache/parquet/hadoop/ParquetOutputFormat$JobSummaryLevel
     at java.lang.Class.getDeclaredConstructors0(Native Method)
     at java.lang.Class.privateGetDeclaredConstructors(Class.java:2671)
     at java.lang.Class.getConstructor0(Class.java:3075)
     at java.lang.Class.newInstance(Class.java:412)
     at java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:380)
     ... 71 more
   Caused by: java.lang.ClassNotFoundException: org.apache.parquet.hadoop.ParquetOutputFormat$JobSummaryLevel
     at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
     at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
     at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
     at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
     ... 76 more
   ```
   The end users will be confused about the relationship between Parquet and ML models.
   
   ## How was this patch tested?
   
   manual tests
   

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org