Hey Akriti23, pyspark gives you a saveAsParquetFile() api, to save your rdd as parquet. You will however, need to infer the schema or describe it manually before you can do so. Here are some docs about that (v1.2.1, you can search for the others, they're relatively similar 1.1 and up): http://spark.apache.org/docs/1.2.1/sql-programming-guide.html#inferring-the-schema-using-reflection http://spark.apache.org/docs/1.2.1/sql-programming-guide.html#parquet-files
As for whether it is the most efficient way to do a range query, that's a more difficult question and it would be helpful if you could give some more information. Another thing to think about is that you could just use a temp table, and not store the parquet all together. <- same docs, just read through them -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Write-to-Parquet-File-in-Python-tp22186p22191.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
