Collectives™ on Stack Overflow
Find centralized, trusted content and collaborate around the technologies you use most.
Learn more about Collectives
Teams
Q&A for work
Connect and share knowledge within a single location that is structured and easy to search.
Learn more about Teams
I am trying to learn spark and scala, on my trying to write the dataframe object of my result to parquet file by calling the parquet method, i am getting error as such
Code Base that fails:-
df2.write.mode(SaveMode.Overwrite).parquet(outputPath)
This fails too
df2.write.format("org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat").mode(SaveMode.Overwrite).parquet(outputPath)
Error Log:-
Exception in thread "main" org.apache.spark.sql.AnalysisException: Multiple sources found for parquet (org.apache.spark.sql.execution.datasources.v2.parquet.ParquetDataSourceV2, org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat), please specify the fully qualified class name.;
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:707)
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSourceV2(DataSource.scala:733)
at org.apache.spark.sql.DataFrameWriter.lookupV2Provider(DataFrameWriter.scala:967)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:304)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:288)
at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:848)
How ever if I called another method for the save, the code works properly,
This works fine:-
df2.write.format("org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat").mode(SaveMode.Overwrite).save(outputPath)
Although I have a solution for the issue, i'd like to understand why the first approach is not working and how I can solve it.
The details of the specification i am using are:-
Scala 2.12.9
Java 1.8
Spark 2.4.4
P.S. This issue is only seen on spark-submit
–
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.