Hi,
I simply read a Parquet table
scala> val s = sqlContext.read.parquet("oraclehadoop.sales2")
s: org.apache.spark.sql.DataFrame = [prod_id: bigint, cust_id: bigint,
time_id: timestamp, channel_id: bigint, promo_id: bigint, quantity_sold:
decimal(10,0), amount_sold: decimal(10,0)]
Now all I want is to save data and make it uncompressed. By default it
saves the table as *gzipped*
val s4 = s.write.mode("overwrite").parquet("/user/hduser/sales4")
However, I want use this approach without creating table explicitly myself
with sqlContext etc
This does not seem to work
val c = sqlContext.setConf("spark.sql.parquet.compression.codec.",
"uncompressed")
Can I do through a method on DataFrame "s" above to make the table saved as
uncompressed?
Thanks,
Dr Mich Talebzadeh
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