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Posted to commits@druid.apache.org by "shubhraGupta (via GitHub)" <gi...@apache.org> on 2023/05/22 16:12:02 UTC
[GitHub] [druid] shubhraGupta opened a new issue, #14326: Group By query on Theta sketches breaks in version 25.
shubhraGupta opened a new issue, #14326:
URL: https://github.com/apache/druid/issues/14326
Please provide a detailed title (e.g. "Broker crashes when using TopN query with Bound filter" instead of just "Broker crashes").
### Affected Version
Version 25
### Description
We did rolling upgrade on our Staging Cluster from Version 22 and version 25 and saw one of the Theta sketch queries are breaking in version 25.
with t1(merge_column, s1) as
(
SELECT 0 as merge_column,
DS_THETA(c1)
FROM table1
)
SELECT
gp_col1,
sum(ts2),
sum(ts1),
sum(ts3)
FROM (
SELECT gp_col1,
gp_multiplier,
THETA_SKETCH_ESTIMATE((DS_THETA(s2))) as ts2,
THETA_SKETCH_ESTIMATE((DS_THETA(s1))) as ts1,
gp_multiplier * THETA_SKETCH_ESTIMATE(THETA_SKETCH_INTERSECT(DS_THETA(s2), DS_THETA(s1))) as ts3
FROM (
SELECT 0 as merge_column,
gp_col1,
gp_multiplier,
DS_THETA(c2) as s2
FROM table2
WHERE gp_multiplier != 0
GROUP BY gp_col1,
gp_multiplier
) t2
JOIN t1
ON t1.merge_column = t2.merge_column
GROUP BY gp_col1,
gp_multiplier
)
GROUP BY gp_col1
In version 22, we get non zero values for sum(ts2), sum(ts1) and sum(ts3).
In version 25, we are getting non zero value for only for sum(ts2), others sums are returning 0. Though ts2, ts1 and ts3 in subquery are returning correct values.
We checked the Query Plan in v22 and v25 and find out query plan has changed in version 25. The same query comes under type 'TopN' in version 22 and is of type `GroupBy` in version 25.
Explain Query in Version 22
DruidOuterQueryRel(query=[{"queryType":"topN","dataSource":
{"type":"table","name":"__subquery__"},
"virtualColumns":[],
"dimension":{"type":"default","dimension":"gp_col1","outputName":"d0","outputType":"STRING"},
"metric":{"type":"dimension","previousStop":null,"ordering":{"type":"lexicographic"}},
"threshold":101,"intervals":{"type":"intervals",
"intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},
"filter":null,
"granularity":{"type":"all"},
"aggregations":[{"type":"doubleSum","name":"a0","fieldName":"ts2","expression":null},
{"type":"doubleSum","name":"a1","fieldName":"ts1","expression":null},
{"type":"doubleSum","name":"a2","fieldName":"ts3","expression":null}],
"postAggregations":[],"context":{"sqlOuterLimit":101,"sqlQueryId":"ba9dcb86-9f4f-4c01-ab04-569ffd1cec08"},
"descending":false}],
signature=[{d0:STRING, a0:DOUBLE, a1:DOUBLE, a2:DOUBLE}])
DruidJoinQueryRel(condition=[=($0, $4)], joinType=[inner],
query=[{"queryType":"groupBy",
"dataSource":{
"type":"table","name":"__join__"},
"intervals":{
"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},
"virtualColumns":[],"filter":null,"granularity":{"type":"all"},
"dimensions":
[{"type":"default","dimension":"gp_col1","outputName":"d0","outputType":"STRING"},
{"type":"default","dimension":"gp_multiplier","outputName":"d1","outputType":"STRING"}],
"aggregations":[
{"type":"thetaSketch","name":"a0","fieldName":"s2","size":16384,"shouldFinalize":true,"isInputThetaSketch":false,"errorBoundsStdDev":null},
{"type":"thetaSketch","name":"a1","fieldName":"EXPR$1","size":16384,
"shouldFinalize":true,"isInputThetaSketch":false,"errorBoundsStdDev":null}],
"postAggregations":[{"type":"thetaSketchEstimate","name":"p1",
"field":{
"type":"fieldAccess","name":"p0","fieldName":"a0"},"errorBoundsStdDev":null},
{"type":"thetaSketchEstimate","name":"p3",
"field":{"type":"fieldAccess","name":"p2","fieldName":"a1"},"errorBoundsStdDev":null},
{"type":"thetaSketchEstimate","name":"p7",
"field":{"type":"thetaSketchSetOp","name":"p6","func":"INTERSECT","size":16384,
"fields":[{"type":"fieldAccess","name":"p4","fieldName":"a0"},
{"type":"fieldAccess","name":"p5","fieldName":"a1"}]},"errorBoundsStdDev":null},
{"type":"expression","name":"p8","expression":"(CAST(\"d1\", 'DOUBLE') * p7)","ordering":null}
],"having":null,"limitSpec":{"type":"NoopLimitSpec"},
"context":{"sqlOuterLimit":101,"sqlQueryId":"ba9dcb86-9f4f-4c01-ab04-569ffd1cec08"},"descending":false}],
signature=[{d0:STRING, p1:DOUBLE, p3:DOUBLE, p8:DOUBLE}])
DruidQueryRel(query=[{"queryType":"groupBy","dataSource":{"type":"table","name":"table2"},
"intervals":{"type":"intervals","intervals":["2023-03-01T00:00:00.000Z/2023-03-01T00:00:00.001Z"]},
"virtualColumns":[],"filter":{
"type":"and","fields":[{
"type":"not","field":{
"type":"bound","dimension":"gp_multiplier","lower":"0","upper":"0","lowerStrict":false,"upperStrict":false,"extractionFn":null,"ordering":{
"type":"numeric"}}},{
"type":"not","field":{
"type":"selector","dimension":"gp_col1","value":null,"extractionFn":null}}]},
"granularity":{"type":"all"},
"dimensions":[{"type":"default","dimension":"gp_col1","outputName":"d0","outputType":"STRING"},
{"type":"default","dimension":"gp_multiplier","outputName":"d1","outputType":"STRING"}],
"aggregations":[{"type":"thetaSketch","name":"a0","fieldName":"c2","size":16384,"shouldFinalize":true,"isInputThetaSketch":false,"errorBoundsStdDev":null}],
"postAggregations":[{
"type":"expression","name":"p0","expression":"0","ordering":null},{
"type":"fieldAccess","name":"p1","fieldName":"a0"}],"having":null,
"limitSpec":{"type":"NoopLimitSpec"},"context":{
"sqlOuterLimit":101,"sqlQueryId":"ba9dcb86-9f4f-4c01-ab04-569ffd1cec08"},"descending":false}],
signature=[{p0:LONG, d0:STRING, d1:STRING, p1:COMPLEX}])
DruidQueryRel(query=[{"queryType":"timeseries","dataSource":{
"type":"table","name":"table1"},
"intervals":{
"type":"intervals",
"intervals":["2023-03-15T00:00:00.000Z/2023-03-16T00:00:00.000Z"]},
"descending":false,"virtualColumns":[],"filter":null,"granularity":{"type":"all"},
"aggregations":[{
"type":"thetaSketch","name":"a0","fieldName":"c1","size":16384,"shouldFinalize":true,"isInputThetaSketch":false,"errorBoundsStdDev":null}],
"postAggregations":[{"type":"expression","name":"p0","expression":"0","ordering":null},
{"type":"fieldAccess","name":"p1","fieldName":"a0"}],"limit":2147483647,"context":{
"sqlOuterLimit":101,"sqlQueryId":"ba9dcb86-9f4f-4c01-ab04-569ffd1cec08"}}], signature=[{p0:LONG, p1:COMPLEX}])
Explain Query in version 25
{
"queryType": "groupBy",
"dataSource": {
"type": "query",
"query": {
"queryType": "groupBy",
"dataSource": {
"type": "join",
"left": {
"type": "query",
"query": {
"queryType": "groupBy",
"dataSource": {
"type": "table",
"name": "table2"
},
"intervals": {
"type": "intervals",
"intervals": [
"-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"
]
},
"filter": {
"type": "and",
"fields": [
{
"type": "not",
"field": {
"type": "bound",
"dimension": "gp_multiplier",
"lower": "0",
"upper": "0",
"ordering": {
"type": "numeric"
}
}
},
{
"type": "not",
"field": {
"type": "selector",
"dimension": "gp_col1",
"value": null
}
}
]
},
"granularity": {
"type": "all"
},
"dimensions": [
{
"type": "default",
"dimension": "gp_col1",
"outputName": "d0",
"outputType": "STRING"
},
{
"type": "default",
"dimension": "gp_multiplier",
"outputName": "d1",
"outputType": "STRING"
}
],
"aggregations": [
{
"type": "thetaSketch",
"name": "a0",
"fieldName": "c2",
"size": 16384,
"shouldFinalize": false
}
],
"postAggregations": [
{
"type": "expression",
"name": "p0",
"expression": "0"
}
],
"limitSpec": {
"type": "NoopLimitSpec"
},
"context": {
"queryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"sqlOuterLimit": 1001,
"sqlQueryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"useNativeQueryExplain": true
}
}
},
"right": {
"type": "query",
"query": {
"queryType": "timeseries",
"dataSource": {
"type": "table",
"name": "table1"
},
"intervals": {
"type": "intervals",
"intervals": [
"-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"
]
},
"granularity": {
"type": "all"
},
"aggregations": [
{
"type": "thetaSketch",
"name": "a0",
"fieldName": "c1",
"size": 16384,
"shouldFinalize": false
}
],
"postAggregations": [
{
"type": "expression",
"name": "p0",
"expression": "0"
}
],
"context": {
"queryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"sqlOuterLimit": 1001,
"sqlQueryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"useNativeQueryExplain": true
}
}
},
"rightPrefix": "j0.",
"condition": "(\"p0\" == \"j0.p0\")",
"joinType": "INNER"
},
"intervals": {
"type": "intervals",
"intervals": [
"-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"
]
},
"granularity": {
"type": "all"
},
"dimensions": [
{
"type": "default",
"dimension": "d0",
"outputName": "_d0",
"outputType": "STRING"
},
{
"type": "default",
"dimension": "d1",
"outputName": "_d1",
"outputType": "STRING"
}
],
"aggregations": [
{
"type": "thetaSketch",
"name": "_a0:a",
"fieldName": "a0",
"size": 16384,
"shouldFinalize": false
},
{
"type": "thetaSketch",
"name": "_a1:a",
"fieldName": "j0.a0",
"size": 16384,
"shouldFinalize": false
}
],
"postAggregations": [
{
"type": "thetaSketchEstimate",
"name": "p1",
"field": {
"type": "fieldAccess",
"name": "p0",
"fieldName": "_a0:a"
}
},
{
"type": "thetaSketchEstimate",
"name": "p3",
"field": {
"type": "fieldAccess",
"name": "p2",
"fieldName": "_a1:a"
}
},
{
"type": "thetaSketchEstimate",
"name": "p7",
"field": {
"type": "thetaSketchSetOp",
"name": "p6",
"func": "INTERSECT",
"size": 16384,
"fields": [
{
"type": "fieldAccess",
"name": "p4",
"fieldName": "_a0:a"
},
{
"type": "fieldAccess",
"name": "p5",
"fieldName": "_a1:a"
}
]
}
},
{
"type": "expression",
"name": "p8",
"expression": "(CAST(\"_d1\", 'DOUBLE') * \"p7\")"
}
],
"limitSpec": {
"type": "NoopLimitSpec"
},
"context": {
"queryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"sqlOuterLimit": 1001,
"sqlQueryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"useNativeQueryExplain": true
}
}
},
"intervals": {
"type": "intervals",
"intervals": [
"-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"
]
},
"granularity": {
"type": "all"
},
"dimensions": [
{
"type": "default",
"dimension": "_d0",
"outputName": "d0",
"outputType": "STRING"
}
],
"aggregations": [
{
"type": "doubleSum",
"name": "a0",
"fieldName": "p1"
},
{
"type": "doubleSum",
"name": "a1",
"fieldName": "p3"
},
{
"type": "doubleSum",
"name": "a2",
"fieldName": "p8"
}
],
"limitSpec": {
"type": "default",
"columns": [],
"limit": 1001
},
"context": {
"queryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"sqlOuterLimit": 1001,
"sqlQueryId": "1b05327f-6904-4e6b-8876-225929d81ab9",
"useNativeQueryExplain": true
}
}
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[GitHub] [druid] gianm commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "gianm (via GitHub)" <gi...@apache.org>.
gianm commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1560348580
I'm wondering if you have a way to reproduce this on a fresh install? Like a dataset that can be loaded, where we can run this query on that dataset? It would help in debugging what is going on.
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1563038171
@gianm were you able to duplicate the issue?
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1561382272
To clarify, the sql-native engine has a breaking change, while the multi-stage engine produced the correct result. My guess is multi-stage materialized the intermediate result.
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1569274479
@gianm did you get a chance to review this?
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[GitHub] [druid] gianm commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "gianm (via GitHub)" <gi...@apache.org>.
gianm commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1569308583
> @gianm did you get a chance to review this?
@djiangc I just fetched the zip file and loaded up the data to try to figure out what is going on here. I noticed the query from the original post doesn't run on these tables, possibly because the table and column names have been changed. Do you have a copy of the query with table and column names that match the ones in `14326.zip`?
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1572738110
@gianm sorry for the late response, please find the SQL below
[query.sql.gz](https://github.com/apache/druid/files/11629337/query.sql.gz)
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Re: [I] Group By query on Theta sketches breaks in version 25. (druid)
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed issue #14326: Group By query on Theta sketches breaks in version 25.
URL: https://github.com/apache/druid/issues/14326
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1561380027
@gianm I attached two parquet files and ingestion json, also screenshot showing the two engines and result.
I got the bug replicated with the data set on a docker 25.0 image.
[14326.zip](https://github.com/apache/druid/files/11556407/14326.zip)
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[GitHub] [druid] gianm commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "gianm (via GitHub)" <gi...@apache.org>.
gianm commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1580583376
Hi @djiangc— I tried this on Druid 26 or latest master, and got the following results in both the native engine & MSQ. It looks like they match your screenshot. Perhaps this issue has already been fixed in Druid 26.
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Re: [I] Group By query on Theta sketches breaks in version 25. (druid)
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1996170431
This issue has been marked as stale due to 280 days of inactivity.
It will be closed in 4 weeks if no further activity occurs. If this issue is still
relevant, please simply write any comment. Even if closed, you can still revive the
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Thank you for your contributions.
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1572735826
Hi, @gianm
sorry for the late response. please find the SQL here:
```with t1(merge_column, s1) as
(
SELECT 0 as merge_column,
DS_THETA(person_ids)
FROM agg_adi_acr_person_reach WHERE __time >= '2023-04-15' and __time < '2023-05-16'
)
SELECT
gp_col1,
sum(ts2),
sum(ts1),
sum(ts3)
FROM (
SELECT gp_col1,
gp_multiplier,
THETA_SKETCH_ESTIMATE((DS_THETA(s2))) as ts2,
THETA_SKETCH_ESTIMATE((DS_THETA(s1))) as ts1,
gp_multiplier * THETA_SKETCH_ESTIMATE(THETA_SKETCH_INTERSECT(DS_THETA(s2), DS_THETA(s1))) as ts3
FROM (
SELECT 0 AS merge_column,
demo_bucket AS gp_col1,
rounded_ipfp_weight As gp_multiplier,
DS_THETA(person_ids) as s2
FROM agg_adi_person_demo_dma_dimensons_reach
WHERE rounded_ipfp_weight != 0 and __time >= '2023-04-01' and __time < '2023-05-01'
GROUP BY demo_bucket,
rounded_ipfp_weight
) t2
JOIN t1
ON t1.merge_column = t2.merge_column
GROUP BY gp_col1,
gp_multiplier
)
GROUP BY gp_col1```
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[GitHub] [druid] djiangc commented on issue #14326: Group By query on Theta sketches breaks in version 25.
Posted by "djiangc (via GitHub)" <gi...@apache.org>.
djiangc commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-1580776349
Thanks, confirmed fixed. many thanks, @gianm
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Re: [I] Group By query on Theta sketches breaks in version 25. (druid)
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #14326:
URL: https://github.com/apache/druid/issues/14326#issuecomment-2048635629
This issue has been closed due to lack of activity. If you think that
is incorrect, or the issue requires additional review, you can revive the issue at
any time.
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