[jira] [Created] (SPARK-42976) spark sql Disable vectorized faild

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

liu created SPARK-42976:
---------------------------

             Summary: spark sql Disable vectorized  faild
                 Key: SPARK-42976
                 URL: https://issues.apache.org/jira/browse/SPARK-42976
             Project: Spark
          Issue Type: Question
          Components: Spark Shell, SQL
    Affects Versions: 3.3.2
         Environment: spark ：3.3_2.12

hive : 3.1.1

iceberg:  iceberg-spark-runtime-3.3_2.12-1.2.0

 

 

 
            Reporter: liu
             Fix For: 3.3.2


spark-sql  start config:

 
{code:java}
./spark-sql --packages org.apache.iceberg:iceberg-spark-runtime-3.3_2.12:1.2.0\
    --conf   spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions \
    --conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkSessionCatalog \
    --conf spark.sql.catalog.spark_catalog.type=hive \
    --conf spark.sql.iceberg.handle-timestamp-without-timezone=true \
    --conf spark.sql.parquet.binaryAsString=true \
    --conf spark.sql.parquet.enableVectorizedReader=false \
    --conf spark.sql.parquet.enableNestedColumnVectorizedReader=true \
    --conf spark.sql.parquet.recordLevelFilter=true {code}
Now that I have configured spark. sql. queue. enableVectorizedReader=false,but i query a iceberg parquet table，the following error occurred：

 
{code:java}
    at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
    at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:498)
    at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:286)
    at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
    at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
    at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
    at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
    at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.UnsupportedOperationException: Cannot support vectorized reads for column [hzxm] optional binary hzxm = 8 with encoding DELTA_BYTE_ARRAY. Disable vectorized reads to read this table/file
    at org.apache.iceberg.arrow.vectorized.parquet.VectorizedPageIterator.initDataReader(VectorizedPageIterator.java:100)
    at org.apache.iceberg.parquet.BasePageIterator.initFromPage(BasePageIterator.java:140)
    at org.apache.iceberg.parquet.BasePageIterator$1.visit(BasePageIterator.java:105)
    at org.apache.iceberg.parquet.BasePageIterator$1.visit(BasePageIterator.java:96)
    at org.apache.iceberg.shaded.org.apache.parquet.column.page.DataPageV2.accept(DataPageV2.java:192)
    at org.apache.iceberg.parquet.BasePageIterator.setPage(BasePageIterator.java:95)
    at org.apache.iceberg.parquet.BaseColumnIterator.advance(BaseColumnIterator.java:61)
    at org.apache.iceberg.parquet.BaseColumnIterator.setPageSource(BaseColumnIterator.java:50)
    at org.apache.iceberg.arrow.vectorized.parquet.VectorizedColumnIterator.setRowGroupInfo(Vec {code}
*{color:#FF0000}Caused by: java.lang.UnsupportedOperationException: Cannot support vectorized reads for column [hzxm] optional binary hzxm = 8 with encoding DELTA_BYTE_ARRAY. Disable vectorized reads to read this table/file{color}*

 

Now it seems that this parameter has not worked. How can I turn off this function so that I can successfully query the table

 

 



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