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https://issues.apache.org/jira/browse/SPARK-29274?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16939867#comment-16939867
]
Yuming Wang commented on SPARK-29274:
-------------------------------------
I don't know how Vertica works. But it returns incorrect values.
{noformat}
create table t1 (incdata_id decimal(21,0), v VARCHAR);
create table t2 (incdata_id VARCHAR, v VARCHAR);
insert into t1 values(100000000001636981212, '1');
insert into t2 values(100000000001636981213, '2');
dbadmin=> select * from t1 join t2 on (t1.incdata_id = t2.incdata_id);
incdata_id | v | incdata_id | v
-----------------------+---+-----------------------+---
100000000001636981212 | 1 | 100000000001636981213 | 2
(1 row)
dbadmin=> explain select * from t1 join t2 on (t1.incdata_id = t2.incdata_id);
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
------------------------------
QUERY PLAN DESCRIPTION:
------------------------------
explain select * from t1 join t2 on (t1.incdata_id = t2.incdata_id);
Access Path:
+-JOIN HASH [Cost: 4, Rows: 1 (NO STATISTICS)] (PATH ID: 1)
| Join Cond: (t1.incdata_id = t2.incdata_id)
| Materialize at Output: t1.v
| +-- Outer -> STORAGE ACCESS for t1 [Cost: 1, Rows: 1 (NO STATISTICS)] (PATH
ID: 2)
| | Projection: public.t1_super
| | Materialize: t1.incdata_id
| | Runtime Filter: (SIP1(HashJoin): t1.incdata_id)
| +-- Inner -> STORAGE ACCESS for t2 [Cost: 2, Rows: 1 (NO STATISTICS)] (PATH
ID: 3)
| | Projection: public.t2_super
| | Materialize: t2.incdata_id, t2.v
------------------------------
-----------------------------------------------
PLAN: BASE QUERY PLAN (GraphViz Format)
-----------------------------------------------
digraph G {
graph [rankdir=BT, label = "BASE QUERY PLAN\nQuery: explain select * from t1
join t2 on (t1.incdata_id = t2.incdata_id);\n\nAll Nodes Vector: \n\n
node[0]=v_docker_node0001 (initiator) Up\n", labelloc=t, labeljust=l
ordering=out]
0[label = "Root \nOutBlk=[UncTuple(4)]", color = "green", shape = "house"];
1[label = "NewEENode \nOutBlk=[UncTuple(4)]", color = "green", shape = "box"];
2[label = "StorageUnionStep: t1_super\nUnc: Numeric(21,0)\nUnc:
Varchar(80)\nUnc: Varchar(80)\nUnc: Varchar(80)", color = "purple", shape =
"box"];
3[label = "Join: Hash-Join: \n(public.t1 x public.t2) using t1_super and
t2_super (PATH ID: 1)\n (t1.incdata_id = t2.incdata_id)\n\nUnc:
Numeric(21,0)\nUnc: Varchar(80)\nUnc: Varchar(80)\nUnc: Varchar(80)", color =
"brown", shape = "box"];
4[label = "FilterStep: \n(t1.incdata_id IS NOT NULL)\nUnc: Numeric(21,0)",
color = "brown", shape = "box"];
5[label = "ScanStep: t1_super\nSIP1(HashJoin): t1.incdata_id\nincdata_id\nUnc:
Numeric(21,0)", color = "brown", shape = "box"];
6[label = "FilterStep: \n(t2.incdata_id IS NOT NULL)\nUnc: Varchar(80)\nUnc:
Varchar(80)", color = "green", shape = "box"];
7[label = "StorageUnionStep: t2_super\nUnc: Varchar(80)\nUnc: Varchar(80)",
color = "purple", shape = "box"];
8[label = "ScanStep: t2_super\nincdata_id\nv\nUnc: Varchar(80)\nUnc:
Varchar(80)", color = "brown", shape = "box"];
1->0 [label = "V[0] C=4",color = "black",style="bold", arrowtail="inv"];
2->1 [label = "0",color = "blue"];
3->2 [label = "0",color = "blue"];
4->3 [label = "0",color = "blue"];
5->4 [label = "0",color = "blue"];
6->3 [label = "1",color = "blue"];
7->6 [label = "0",color = "blue"];
8->7 [label = "0",color = "blue"];
}
(43 rows)
{noformat}
> Can not coerce decimal type to double type when it's join key
> -------------------------------------------------------------
>
> Key: SPARK-29274
> URL: https://issues.apache.org/jira/browse/SPARK-29274
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.4, 2.4.4, 3.0.0
> Reporter: Yuming Wang
> Assignee: Pengfei Chang
> Priority: Major
> Attachments: image-2019-09-27-20-20-24-238.png
>
>
> How to reproduce this issue:
> {code:sql}
> create table t1 (incdata_id decimal(21,0), v string) using parquet;
> create table t2 (incdata_id string, v string) using parquet;
> explain select * from t1 join t2 on (t1.incdata_id = t2.incdata_id);
> == Physical Plan ==
> *(5) SortMergeJoin
> [knownfloatingpointnormalized(normalizenanandzero(cast(incdata_id#31 as
> double)))],
> [knownfloatingpointnormalized(normalizenanandzero(cast(incdata_id#33 as
> double)))], Inner
> :- *(2) Sort
> [knownfloatingpointnormalized(normalizenanandzero(cast(incdata_id#31 as
> double))) ASC NULLS FIRST], false, 0
> : +- Exchange
> hashpartitioning(knownfloatingpointnormalized(normalizenanandzero(cast(incdata_id#31
> as double))), 200), true, [id=#104]
> : +- *(1) Filter isnotnull(incdata_id#31)
> : +- Scan hive default.t1 [incdata_id#31, v#32], HiveTableRelation
> `default`.`t1`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe,
> [incdata_id#31, v#32], Statistics(sizeInBytes=8.0 EiB)
> +- *(4) Sort
> [knownfloatingpointnormalized(normalizenanandzero(cast(incdata_id#33 as
> double))) ASC NULLS FIRST], false, 0
> +- Exchange
> hashpartitioning(knownfloatingpointnormalized(normalizenanandzero(cast(incdata_id#33
> as double))), 200), true, [id=#112]
> +- *(3) Filter isnotnull(incdata_id#33)
> +- Scan hive default.t2 [incdata_id#33, v#34], HiveTableRelation
> `default`.`t2`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe,
> [incdata_id#33, v#34], Statistics(sizeInBytes=8.0 EiB)
> {code}
> {code:sql}
> select cast(v1 as double) as v3, cast(v2 as double) as v4,
> cast(v1 as double) = cast(v2 as double), v1 = v2
> from (select cast('100000000001636981212' as decimal(21, 0)) as v1,
> cast('100000000001636981213' as decimal(21, 0)) as v2) t;
> 1.0000000000163697E20 1.0000000000163697E20 true false
> {code}
>
> It's a realy case in our production:
> !image-2019-09-27-20-20-24-238.png|width=100%!
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