Hi,
In Spark I specifically specify the format of the table to be created
sqltext = """
CREATE TABLE test.randomDataPy(
ID INT
, CLUSTERED INT
, SCATTERED INT
, RANDOMISED INT
, RANDOM_STRING VARCHAR(50)
, SMALL_VC VARCHAR(50)
, PADDING VARCHAR(4000)
)
STORED AS PARQUET
"""
sqlContext.sql(sqltext)
However, I can store it through
df.write.mode("overwrite").saveAsTable("test.ABCD")
The table created through the above* is stored as parquet.*
desc test.abcd
+----------------+------------+----------+
| col_name | data_type | comment |
+----------------+------------+----------+
| id | bigint | |
| clustered | double | |
| scattered | double | |
| randomised | double | |
| random_string | string | |
| small_vc | string | |
| padding | string | |
+----------------+------------+----------+
Is this the default behaviour expected?
Thanks
Mich
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