I currently have a Hive table that has 1.5 billion rows. I would like to create a smaller table (using the same table schema) with about 1 million rows from the original table. Ideally, the new rows would be randomly sampled from the original table, but getting the top 1M or bottom 1M of the original table would be ok, too. How would I do this?
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问题:
回答1:
As climbage suggested earlier, you could probably best use Hive's built-in sampling methods.
INSERT OVERWRITE TABLE my_table_sample
SELECT * FROM my_table
TABLESAMPLE (1m ROWS) t;
This syntax was introduced in Hive 0.11. If you are running an older version of Hive, you'll be confined to using the PERCENT
syntax like so.
INSERT OVERWRITE TABLE my_table_sample
SELECT * FROM my_table
TABLESAMPLE (1 PERCENT) t;
You can change the percentage to match you specific sample size requirements.
回答2:
You can define a new table with the same schema as your original table.
Then use INSERT OVERWRITE TABLE <tablename> <select statement>
The SELECT statement will need to query your original table, use LIMIT to only get 1M results.
回答3:
This query will pull out top 1M rows and overwrite them in a new table.
CREATE TABLE new_table_name AS
SELECT col1, col2, col3, ....
FROM original_table
WHERE (if you want to put any condition) limit 100000;