[jira] [Comment Edited] (HUDI-3237) ALTER TABLE column type change fails select query

["Yann Byron (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HUDI-3237?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17475182#comment-17475182 ] 

Yann Byron edited comment on HUDI-3237 at 1/13/22, 9:08 AM:
------------------------------------------------------------

Due to no open api to control the schema converting no matter enable `spark.sql.parquet.enableVectorizedReader` or not, it's hard to support to query in this case. 

As follows, it's hard to make the predicate is true for now.

!image-2022-01-13-17-04-09-038.png|width=686,height=371!

 

maybe, we need to close the ability to change the datatype.

Also I find Changing data type is not support in parquet table and delta lake table.

 

IMO, just hold this ticket.


was (Author: biyan900116@gmail.com):
Due to no open api to control the schema converting no matter enable `spark.sql.parquet.enableVectorizedReader` or not, it's hard to support to query in this case. 

As follows, it's hard to make the predicate is true for now.

!image-2022-01-13-17-04-09-038.png|width=686,height=371!

 

maybe, we need to close the ability to change the datatype.

Also I find Changing data type is not support in parquet table and delta lake table.

> ALTER TABLE column type change fails select query
> -------------------------------------------------
>
>                 Key: HUDI-3237
>                 URL: https://issues.apache.org/jira/browse/HUDI-3237
>             Project: Apache Hudi
>          Issue Type: Bug
>    Affects Versions: 0.10.1
>            Reporter: Raymond Xu
>            Assignee: Yann Byron
>            Priority: Major
>             Fix For: 0.11.0
>
>         Attachments: image-2022-01-13-17-04-09-038.png
>
>
> {code:sql}
> create table if not exists cow_nonpt_nonpcf_tbl (
>   id int,
>   name string,
>   price double
> ) using hudi
> options (
>   type = 'cow',
>   primaryKey = 'id'
> );
> insert into cow_nonpt_nonpcf_tbl select 1, 'a1', 20;
> DESC cow_nonpt_nonpcf_tbl;
> -- shows id int
> ALTER TABLE cow_nonpt_nonpcf_tbl change column id id bigint;
> DESC cow_nonpt_nonpcf_tbl;
> -- shows id bigint
> -- this works fine so far
> select * from cow_nonpt_nonpcf_tbl;
> -- throws exception
> {code}
> {code}
> org.apache.spark.sql.execution.QueryExecutionException: Parquet column cannot be converted in file file:///opt/spark-warehouse/cow_nonpt_nonpcf_tbl/ff3c68e6-84d4-4a8a-8bc8-cc58736847aa-0_0-7-7_20220112182401452.parquet. Column: [id], Expected: bigint, Found: INT32
>         at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:179)
>         at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
>         at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:503)
>         at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
>         at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
>         at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
>         at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
>         at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
>         at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
>         at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
>         at org.apache.spark.scheduler.Task.run(Task.scala:131)
>         at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
>         at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
>         at java.lang.Thread.run(Unknown Source)
> Caused by: org.apache.spark.sql.execution.datasources.SchemaColumnConvertNotSupportedException
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.constructConvertNotSupportedException(VectorizedColumnReader.java:339)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readIntBatch(VectorizedColumnReader.java:571)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:294)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:283)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:181)
>         at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:37)
>         at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
>         at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:173)
>         ... 20 more
> {code}
> reported while testing on 0.10.1-rc1 (spark 3.0.3, 3.1.2)



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