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Posted to issues@drill.apache.org by "Rahul Challapalli (JIRA)" <ji...@apache.org> on 2016/01/29 00:10:39 UTC
[jira] [Created] (DRILL-4324) Hive native reader is slow when the
underlying parquet file has more row groups
Rahul Challapalli created DRILL-4324:
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Summary: Hive native reader is slow when the underlying parquet file has more row groups
Key: DRILL-4324
URL: https://issues.apache.org/jira/browse/DRILL-4324
Project: Apache Drill
Issue Type: Bug
Components: Storage - Hive, Storage - Parquet
Reporter: Rahul Challapalli
git.commit.id.abbrev=3d0b4b0
TPCDS Query 84:
{code}
SELECT c_customer_id AS customer_id,
c_last_name
|| ', '
|| c_first_name AS customername
FROM customer,
customer_address,
customer_demographics,
household_demographics,
income_band,
store_returns
WHERE ca_city = 'Green Acres'
AND c_current_addr_sk = ca_address_sk
AND ib_lower_bound >= 54986
AND ib_upper_bound <= 54986 + 50000
AND ib_income_band_sk = hd_income_band_sk
AND cd_demo_sk = c_current_cdemo_sk
AND hd_demo_sk = c_current_hdemo_sk
AND sr_cdemo_sk = cd_demo_sk
ORDER BY c_customer_id
LIMIT 100;
{code}
Execution times :
{code}
Hive Plugin : 12.34 seconds
Hive Native Reader : 360.866
DFS Parquet Reader : 84.3 seconds
{code}
Note : These data sets were generated by hive and the underlying parquet files have more than 1 row groups (household_demographics has ~8000 row groups)
The data files are larger than 10 MB to attach them here. Reach out to me if you need anything else
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