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Revert " Closes #10 from gengliangwang/revert." #11

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This reverts commit b72c63e.

What changes were proposed in this pull request?

Why are the changes needed?

Does this PR introduce any user-facing change?

How was this patch tested?

gengliangwang pushed a commit that referenced this pull request Mar 12, 2024
…n properly

### What changes were proposed in this pull request?
Make `ResolveRelations` handle plan id properly

### Why are the changes needed?
bug fix for Spark Connect, it won't affect classic Spark SQL

before this PR:
```
from pyspark.sql import functions as sf

spark.range(10).withColumn("value_1", sf.lit(1)).write.saveAsTable("test_table_1")
spark.range(10).withColumnRenamed("id", "index").withColumn("value_2", sf.lit(2)).write.saveAsTable("test_table_2")

df1 = spark.read.table("test_table_1")
df2 = spark.read.table("test_table_2")
df3 = spark.read.table("test_table_1")

join1 = df1.join(df2, on=df1.id==df2.index).select(df2.index, df2.value_2)
join2 = df3.join(join1, how="left", on=join1.index==df3.id)

join2.schema
```

fails with
```
AnalysisException: [CANNOT_RESOLVE_DATAFRAME_COLUMN] Cannot resolve dataframe column "id". It's probably because of illegal references like `df1.select(df2.col("a"))`. SQLSTATE: 42704
```

That is due to existing plan caching in `ResolveRelations` doesn't work with Spark Connect

```
=== Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations ===
 '[#12]Join LeftOuter, '`==`('index, 'id)                     '[#12]Join LeftOuter, '`==`('index, 'id)
!:- '[#9]UnresolvedRelation [test_table_1], [], false         :- '[#9]SubqueryAlias spark_catalog.default.test_table_1
!+- '[#11]Project ['index, 'value_2]                          :  +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
!   +- '[#10]Join Inner, '`==`('id, 'index)                   +- '[#11]Project ['index, 'value_2]
!      :- '[#7]UnresolvedRelation [test_table_1], [], false      +- '[#10]Join Inner, '`==`('id, 'index)
!      +- '[#8]UnresolvedRelation [test_table_2], [], false         :- '[#9]SubqueryAlias spark_catalog.default.test_table_1
!                                                                   :  +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
!                                                                   +- '[#8]SubqueryAlias spark_catalog.default.test_table_2
!                                                                      +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_2`, [], false

Can not resolve 'id with plan 7
```

`[#7]UnresolvedRelation [test_table_1], [], false` was wrongly resolved to the cached one
```
:- '[#9]SubqueryAlias spark_catalog.default.test_table_1
   +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
```

### Does this PR introduce _any_ user-facing change?
yes, bug fix

### How was this patch tested?
added ut

### Was this patch authored or co-authored using generative AI tooling?
ci

Closes apache#45214 from zhengruifeng/connect_fix_read_join.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
gengliangwang pushed a commit that referenced this pull request May 1, 2024
…plan properly

### What changes were proposed in this pull request?
Make `ResolveRelations` handle plan id properly

cherry-pick bugfix apache#45214 to 3.5

### Why are the changes needed?
bug fix for Spark Connect, it won't affect classic Spark SQL

before this PR:
```
from pyspark.sql import functions as sf

spark.range(10).withColumn("value_1", sf.lit(1)).write.saveAsTable("test_table_1")
spark.range(10).withColumnRenamed("id", "index").withColumn("value_2", sf.lit(2)).write.saveAsTable("test_table_2")

df1 = spark.read.table("test_table_1")
df2 = spark.read.table("test_table_2")
df3 = spark.read.table("test_table_1")

join1 = df1.join(df2, on=df1.id==df2.index).select(df2.index, df2.value_2)
join2 = df3.join(join1, how="left", on=join1.index==df3.id)

join2.schema
```

fails with
```
AnalysisException: [CANNOT_RESOLVE_DATAFRAME_COLUMN] Cannot resolve dataframe column "id". It's probably because of illegal references like `df1.select(df2.col("a"))`. SQLSTATE: 42704
```

That is due to existing plan caching in `ResolveRelations` doesn't work with Spark Connect

```
=== Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations ===
 '[#12]Join LeftOuter, '`==`('index, 'id)                     '[#12]Join LeftOuter, '`==`('index, 'id)
!:- '[#9]UnresolvedRelation [test_table_1], [], false         :- '[#9]SubqueryAlias spark_catalog.default.test_table_1
!+- '[#11]Project ['index, 'value_2]                          :  +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
!   +- '[#10]Join Inner, '`==`('id, 'index)                   +- '[#11]Project ['index, 'value_2]
!      :- '[#7]UnresolvedRelation [test_table_1], [], false      +- '[#10]Join Inner, '`==`('id, 'index)
!      +- '[#8]UnresolvedRelation [test_table_2], [], false         :- '[#9]SubqueryAlias spark_catalog.default.test_table_1
!                                                                   :  +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
!                                                                   +- '[#8]SubqueryAlias spark_catalog.default.test_table_2
!                                                                      +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_2`, [], false

Can not resolve 'id with plan 7
```

`[#7]UnresolvedRelation [test_table_1], [], false` was wrongly resolved to the cached one
```
:- '[#9]SubqueryAlias spark_catalog.default.test_table_1
   +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
```

### Does this PR introduce _any_ user-facing change?
yes, bug fix

### How was this patch tested?
added ut

### Was this patch authored or co-authored using generative AI tooling?
ci

Closes apache#46291 from zhengruifeng/connect_fix_read_join_35.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
gengliangwang pushed a commit that referenced this pull request Oct 18, 2024
…r `postgreSQL/float4.sql` and `postgreSQL/int8.sql`

### What changes were proposed in this pull request?
This pr regenerate Java 21 golden file for `postgreSQL/float4.sql` and `postgreSQL/int8.sql` to fix Java 21 daily test.

### Why are the changes needed?
Fix Java 21 daily test:
- https://github.com/apache/spark/actions/runs/10823897095/job/30030200710

```
[info] - postgreSQL/float4.sql *** FAILED *** (1 second, 100 milliseconds)
[info]   postgreSQL/float4.sql
[info]   Expected "...arameters" : {
[info]       "[ansiConfig" : "\"spark.sql.ansi.enabled\"",
[info]       "]expression" : "'N A ...", but got "...arameters" : {
[info]       "[]expression" : "'N A ..." Result did not match for query #11
[info]   SELECT float('N A N') (SQLQueryTestSuite.scala:663)
...
[info] - postgreSQL/int8.sql *** FAILED *** (2 seconds, 474 milliseconds)
[info]   postgreSQL/int8.sql
[info]   Expected "...arameters" : {
[info]       "[ansiConfig" : "\"spark.sql.ansi.enabled\"",
[info]       "]sourceType" : "\"BIG...", but got "...arameters" : {
[info]       "[]sourceType" : "\"BIG..." Result did not match for query apache#66
[info]   SELECT CAST(q1 AS int) FROM int8_tbl WHERE q2 <> 456 (SQLQueryTestSuite.scala:663)
...
[info] *** 2 TESTS FAILED ***
[error] Failed: Total 3559, Failed 2, Errors 0, Passed 3557, Ignored 4
[error] Failed tests:
[error] 	org.apache.spark.sql.SQLQueryTestSuite
[error] (sql / Test / test) sbt.TestsFailedException: Tests unsuccessful
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass Github Acitons
- Manual checked: `build/sbt "sql/testOnly org.apache.spark.sql.SQLQueryTestSuite" with Java 21, all test passed
`

### Was this patch authored or co-authored using generative AI tooling?
No

Closes apache#48089 from LuciferYang/SPARK-49578-FOLLOWUP.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
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