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Catalin Toda resolved SPARK-36990. ---------------------------------- Resolution: Duplicate > Long columns cannot read columns with INT32 type in the parquet file > -------------------------------------------------------------------- > > Key: SPARK-36990 > URL: https://issues.apache.org/jira/browse/SPARK-36990 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.1.2, 3.2.0 > Reporter: Catalin Toda > Priority: Major > > The code below does not work on both Spark 3.1 and Spark 3.2. > Part of the issue is the fact that the fileSchema has logicalTypeAnnotation > == null > ([https://github.com/apache/spark/blob/5013171fd36e6221a540c801cb7fd9e298a6b5ba/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java#L92)] > which makes isUnsignedTypeMatched return false always: > [https://github.com/apache/spark/blob/5b2f1912280e7a5afb92a96b894a7bc5f263aa6e/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java#L180] > > I am not sure even if logicalTypeAnnotation would not be null if > isUnsignedTypeMatched is supposed to return true for this use case. > Python repro: > {code:java} > import os > from pyspark.sql.functions import * > from pyspark.sql import SparkSession > from pyspark.sql.types import * > spark = SparkSession.builder \ > .config("spark.hadoop.fs.s3.impl", > "org.apache.hadoop.fs.s3a.S3AFileSystem") \ > .config("spark.hadoop.fs.AbstractFileSystem.s3.impl", > "org.apache.hadoop.fs.s3a.S3A") \ > .getOrCreate() > df = > spark.createDataFrame([(1,2),(2,3)],StructType([StructField("id",IntegerType(),True),StructField("id2",IntegerType(),True)])).select("id") > df.write.mode("overwrite").parquet("s3://bucket/test") > df=spark.read.schema(StructType([StructField("id",LongType(),True)])).parquet("s3://bucket/test") > df.show(1, False) > {code} > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org