Hanumath Rao Maduri created DRILL-6158:
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Summary: Create a mux operator for union exchange to enable two
phase merging instead of foreman merging all the batches.
Key: DRILL-6158
URL: https://issues.apache.org/jira/browse/DRILL-6158
Project: Apache Drill
Issue Type: Bug
Components: Query Planning & Optimization
Affects Versions: 1.12.0
Reporter: Hanumath Rao Maduri
Assignee: Hanumath Rao Maduri
Fix For: Future
Consider the following simple query
{code}
select zz1,zz2,a11 from dfs.tmp.viewtmp limit 100000 offset 10000000
{code}
The following plan is generated for this query
{code}
00-00 Screen : rowType = RecordType(ANY zz1, ANY zz2, ANY a11): rowcount =
1.01E7, cumulative cost = {1.06048844E8 rows, 5.54015404E8 cpu, 0.0 io,
1.56569100288E11 network, 4.64926176E7 memory}, id = 787
00-01 Project(zz1=[$0], zz2=[$1], a11=[$2]) : rowType = RecordType(ANY
zz1, ANY zz2, ANY a11): rowcount = 1.01E7, cumulative cost = {1.05038844E8
rows, 5.53005404E8 cpu, 0.0 io, 1.56569100288E11 network, 4.64926176E7 memory},
id = 786
00-02 SelectionVectorRemover : rowType = RecordType(ANY zz1, ANY zz2,
ANY a11): rowcount = 1.01E7, cumulative cost = {1.05038844E8 rows, 5.53005404E8
cpu, 0.0 io, 1.56569100288E11 network, 4.64926176E7 memory}, id = 785
00-03 Limit(offset=[10000000], fetch=[100000]) : rowType =
RecordType(ANY zz1, ANY zz2, ANY a11): rowcount = 1.01E7, cumulative cost =
{9.4938844E7 rows, 5.42905404E8 cpu, 0.0 io, 1.56569100288E11 network,
4.64926176E7 memory}, id = 784
00-04 UnionExchange : rowType = RecordType(ANY zz1, ANY zz2, ANY
a11): rowcount = 1.01E7, cumulative cost = {8.4838844E7 rows, 5.02505404E8 cpu,
0.0 io, 1.56569100288E11 network, 4.64926176E7 memory}, id = 783
01-01 SelectionVectorRemover : rowType = RecordType(ANY zz1, ANY
zz2, ANY a11): rowcount = 1.01E7, cumulative cost = {7.4738844E7 rows,
4.21705404E8 cpu, 0.0 io, 3.2460300288E10 network, 4.64926176E7 memory}, id =
782
01-02 Limit(fetch=[10100000]) : rowType = RecordType(ANY zz1,
ANY zz2, ANY a11): rowcount = 1.01E7, cumulative cost = {6.4638844E7 rows,
4.11605404E8 cpu, 0.0 io, 3.2460300288E10 network, 4.64926176E7 memory}, id =
781
01-03 Project(zz1=[$0], zz2=[$2], a11=[$1]) : rowType =
RecordType(ANY zz1, ANY zz2, ANY a11): rowcount = 2.3306983E7, cumulative cost
= {5.4538844E7 rows, 3.71205404E8 cpu, 0.0 io, 3.2460300288E10 network,
4.64926176E7 memory}, id = 780
01-04 HashJoin(condition=[=($0, $2)], joinType=[left]) :
rowType = RecordType(ANY ZZ1, ANY A, ANY ZZ2): rowcount = 2.3306983E7,
cumulative cost = {5.4538844E7 rows, 3.71205404E8 cpu, 0.0 io, 3.2460300288E10
network, 4.64926176E7 memory}, id = 779
01-06 Scan(groupscan=[EasyGroupScan
[selectionRoot=maprfs:/tmp/csvd1, numFiles=3, columns=[`ZZ1`, `A`],
files=[maprfs:/tmp/csvd1/D1111aamulti11random2.csv,
maprfs:/tmp/csvd1/D1111aamulti11random21.csv,
maprfs:/tmp/csvd1/D1111aamulti11random211.csv]]]) : rowType = RecordType(ANY
ZZ1, ANY A): rowcount = 2.3306983E7, cumulative cost = {2.3306983E7 rows,
4.6613966E7 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 776
01-05 BroadcastExchange : rowType = RecordType(ANY ZZ2):
rowcount = 2641626.0, cumulative cost = {5283252.0 rows, 2.3774634E7 cpu, 0.0
io, 3.2460300288E10 network, 0.0 memory}, id = 778
02-01 Scan(groupscan=[EasyGroupScan
[selectionRoot=maprfs:/tmp/csvd2, numFiles=1, columns=[`ZZ2`],
files=[maprfs:/tmp/csvd2/D222random2.csv]]]) : rowType = RecordType(ANY ZZ2):
rowcount = 2641626.0, cumulative cost = {2641626.0 rows, 2641626.0 cpu, 0.0 io,
0.0 network, 0.0 memory}, id = 777
{code}
In case of many minor fragments and huge cluster all the minor fragments
feeding into unionExchange will be merged only at the foreman. Eventhough
unionExchange is not a bottleneck interms of cpu but it creates huge memory
pressure in terms of memory.
It is observed that due to this mostly on a large cluster with many minor
fragments it runs out of memory.
In this scenario it is always better to locally merge the minor fragments
pertaining to a DRILLBIT and send the single stream to the foreman. This
divides the memory consumption to all the drillbits and then reduces the memory
pressure at the foreman.
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