I just ran across this trying to answer the same question and it was helpful but not quite complete. The short answer is yes, something like the query in the question will work but the syntax is not quite right.
Say you have three tables which were created using the following statements:
CREATE TABLE staging_unpartitioned (datestring string, hour int, a int, b int);
CREATE TABLE staging_partitioned (a int, b int)
PARTITIONED BY (datestring string, hour int);
CREATE TABLE production_partitioned (a int, b int)
PARTITIONED BY (dt string, hour int);
Columns a
and b
are just some example columns. dt
and hour
are the values we want to partition on once it gets to the production table. Moving the staging data to production from staging_unpartitioned
and staging_partitioned
looks exactly the same.
INSERT OVERWRITE TABLE production_partitioned PARTITION (dt, hour)
SELECT a, b, datestring, hour FROM staging_unpartitioned;
INSERT OVERWRITE TABLE production_partitioned PARTITION (dt, hour)
SELECT a, b, datestring, hour FROM staging_partitioned;
This uses a process called Dynamic Partitioning which you can read about here. The important thing to note is that which columns are associated with which partitions is determined by the SELECT order. All dynamic partitions must be selected last and in order.
There's a good chance when you try to run the code above you will hit an error due to the properties you have set. First, it will not work if you have dynamic partitioning disabled so make sure to:
set hive.exec.dynamic.partition=true;
Then you might hit an error if you aren't partitioning on at least one static partition before the dynamic partitions. This restriction would save you accidentally removing a root partition when you meant to overwrite its sub-partitions with dynamic partitions. In my experience this behavior has never been helpful and has often been annoying, but your mileage may vary. At any rate, it is easy to change:
set hive.exec.dynamic.partition.mode=nonstrict;
And that should do it.
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