run testcase for Native-sql-engine 1.2, Got many errors

[songjx010]

Describe the bug
I run the build and test command for gazelle_plugin 1.2, and got some errors.
code version as below:

1. arrow-4.0.0-oap-1.2.0-release.zip
2. gazelle_plugin-1.2.0-release.zip

errors as below:
*** RUN ABORTED ***
java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.mergeSchemasInParallel(Lscala/collection/immutable/Map;Lscala/collection/Seq;Lorg/apache/spark/sql/SparkSession;)Lscala/Option;
at org.apache.spark.sql.execution.datasources.parquet.ParquetUtils$.inferSchema(ParquetUtils.scala:107)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.inferSchema(ParquetFileFormat.scala:170)
at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$11(DataSource.scala:208)
at scala.Option.orElse(Option.scala:447)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:205)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:418)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:326)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:308)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:308)

As you can see, the error is in file /arrow-data-source/parquet/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala.
And, I found that the mergeSchemasInParallel method has 3 arguments. But, that is 4 arguments in vanilla spark 3.1.
I modified ParquetFileFormat.scala as below, then it can run without this error.

diff ParquetFileFormat.scala ParquetFileFormat.scala.old

439d438
< parameters: Map[String, String],
455c454
< SchemaMergeUtils.mergeSchemasInParallel(sparkSession, parameters, filesToTouch, reader)

SchemaMergeUtils.mergeSchemasInParallel(sparkSession, null, filesToTouch, reader)

But, I got some other errors as below, Please check whether these errors are normal. I can send you a detailed log later.

Fall back to use row-based operators, error is last(value#22596)() is not supported in ColumnarAggregation, original sparkplan is class org.apache.spark.sql.execution.aggregate.HashAggregateExec(List(class org.apache.spark.sql.execution.streaming.StateStoreSaveExec))
Fall back to use row-based operators, error is variance(cast(a#51859 as double)) is not supported in ColumnarAggregation, original sparkplan is class org.apache.spark.sql.execution.aggregate.HashAggregateExec(List(class org.apache.spark.sql.execution.exchange.ShuffleExchangeExec))
20:59:34.377 WARN org.apache.spark.sql.execution.datasources.v2.arrow.SparkMemoryUtils: Detected leaked memory pool, size: 127976...
20:59:34.442 WARN org.apache.spark.sql.execution.datasources.v2.arrow.SparkMemoryUtils: Detected leaked memory pool, size: 127976...
20:57:03.655 ERROR org.apache.spark.sql.execution.streaming.MicroBatchExecution: Query [id = a188d962-aa09-487f-a6e6-1b2beacf0583, runId = 31cd986e-0306-451b-95db-115ca3800057] terminated with error
org.apache.spark.SparkException: Writing job aborted.
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:388)
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2$(WriteToDataSourceV2Exec.scala:336)

To Reproduce
build and run the test for gazelle_plugin 1.2
build cmd: mvn clean package -DskipTests -Dcpp_tests=OFF -Dbuild_arrow=OFF -Darrow_root=/opt/build/arrow_install -Dcheckstyle.skip
cmd: mvn test -Dbuild_arrow=OFF -Darrow_root=/opt/build/arrow_install -Dcheckstyle.skip

Expected behavior
run test successfully, no errors.

Additional context
Add any other context about the problem here.

[songjx010]

Another question: are the test cases correctly executed for PRs?