Hello,
I tried to save a table created via the hive context as a parquet file but
whatever compression codec (uncompressed, snappy, gzip or lzo) I set via
setConf like:
setConf("spark.sql.parquet.compression.codec", "gzip")
the size of the generated files is the always the same, so it seems like
spark context ignores the compression codec that I set.
Here is a code sample applied via the spark shell:
import org.apache.spark.sql.hive.HiveContext
val hiveContext = new HiveContext(sc)
hiveContext.sql("SET hive.exec.dynamic.partition = true")
hiveContext.sql("SET hive.exec.dynamic.partition.mode = nonstrict")
hiveContext.setConf("spark.sql.parquet.binaryAsString", "true") // required
to make data compatible with impala
hiveContext.setConf("spark.sql.parquet.compression.codec", "gzip")
hiveContext.sql("create external table if not exists foo (bar STRING, ts
INT) Partitioned by (year INT, month INT, day INT) STORED AS PARQUET
Location 'hdfs://path/data/foo'")
hiveContext.sql("insert into table foo partition(year, month,day) select *,
year(from_unixtime(ts)) as year, month(from_unixtime(ts)) as month,
day(from_unixtime(ts)) as day from raw_foo")
I tried that with spark 1.2 and 1.3 snapshot against hive 0.13
and I also tried that with Impala on the same cluster which applied
correctly the compression codecs.
Does anyone know what could be the problem ?
Thanks,
Ayoub.
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