You can use straight sql command to create ORC table in Hive. Assuming you
have registered a temp table
val HiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
s.registerTempTable("tmp")
sqltext = """
CREATE TABLE test.dummy2
(
ID INT
, CLUSTERED INT
, SCATTERED INT
, RANDOMISED INT
, RANDOM_STRING VARCHAR(50)
, SMALL_VC VARCHAR(10)
, PADDING VARCHAR(10)
)
--CLUSTERED BY (ID) INTO 256 BUCKETS
STORED AS ORC
TBLPROPERTIES ( "orc.compress"="SNAPPY",
"orc.create.index"="true",
"orc.bloom.filter.columns"="ID",
"orc.bloom.filter.fpp"="0.05",
"orc.stripe.size"="268435456",
"orc.row.index.stride"="10000" )
"""
HiveContext.sql(sqltext)
sqltext = """
INSERT INTO TABLE test.dummy2
SELECT
*
FROM tmp
"""
HiveContext.sql(sqltext)
HTH
Dr Mich Talebzadeh
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On 18 December 2016 at 09:02, Daniel Haviv <[email protected]>
wrote:
> Hi,
> When writing a dataframe using:
> df.write.orc("/path/to/orc")
>
> How can I specify orc parameters like orc.stripe.size ?
>
> Thank you,
> Daniel
>
