Seeing higher than expected CPU/MEM usage for the java process started by the
sqlline.py client.
From top:
top - 14:37:32 up 7 days, 22:15, 2 users, load average: 25.52, 9.74, 7.89
Tasks: 509 total, 1 running, 508 sleeping, 0 stopped, 0 zombie
Cpu(s): 61.2%us, 6.3%sy, 0.0%ni, 31.0%id, 0.5%wa, 0.0%hi, 1.0%si, 0.0%st
Mem: 65920564k total, 31913580k used, 34006984k free, 647004k buffers
Swap: 33030140k total, 0k used, 33030140k free, 10464056k cached
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
8729 splice 20 0 29.9g 14g 889m S 1616.8 22.4 26:19.21 java
Why is a the JDBC client using so much memory/cpu? The expected result is only
a single row.
QUERY:
SELECT SUM(L_EXTENDEDPRICE) / 7.0 AS AVG_YEARLY
FROM
TPCH.LINEITEM,
TPCH.PART
WHERE
P_PARTKEY = L_PARTKEY
AND P_BRAND = 'BRAND#23'
AND P_CONTAINER = 'MED BOX'
AND L_QUANTITY < (
SELECT 0.2 * AVG(L_QUANTITY)
FROM
TPCH.LINEITEM
WHERE
L_PARTKEY = P_PARTKEY
);
ROW COUNTS:
TPCH.REGION 5
TPCH.NATION 25
TPCH.SUPPLIER 1000000
TPCH.PART 20000000
TPCH.PARTSUPP 80000000
TPCH.ORDERS 150000000
TPCH.CUSTOMER 15000000
TPCH.LINEITEM 600037902
Thanks,
Aaron
