How to split parquet files into many partitions in Spark?

Question

So I have just 1 parquet file I\'m reading with Spark (using the SQL stuff) and I\'d like it to be processed with 100 partitions. I\'ve tried setting spark.default.pa

Answer 1

Maybe your parquet file only takes one HDFS block. Create a big parquet file that has many HDFS blocks and load it

val k = sc.parquetFile("the-big-table.parquet")
k.partitions.length

You'll see same number of partitions as HDFS blocks. This worked fine for me (spark-1.1.0)