[jira] [Updated] (SPARK-29621) Querying internal corrupt record column should not be allowed in filter operation
[ https://issues.apache.org/jira/browse/SPARK-29621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-29621: - Description: As per *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the referenced columns only include the internal corrupt record column"_ But it's allowing while querying only the internal corrupt record column in case of *filter* operation. {code} from pyspark.sql.types import * schema = StructType([ StructField("_corrupt_record", StringType(), False), StructField("Name", StringType(), False), StructField("Colour", StringType(), True), StructField("Price", IntegerType(), True), StructField("Quantity", IntegerType(), True)]) df = spark.read.csv("fruit.csv", schema=schema, mode="PERMISSIVE") df.filter(df._corrupt_record.isNotNull()).show() # Allowed {code} was: As per *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the referenced columns only include the internal corrupt record column"_ But it's allowing while querying only the internal corrupt record column in case of *filter* operation. {code} from pyspark.sql.types import * schema = StructType([ StructField("_corrupt_record",StringType(),False), StructField("Name",StringType(),False), StructField("Colour",StringType(),True), StructField("Price",IntegerType(),True), StructField("Quantity",IntegerType(),True)]) df = spark.read.csv("fruit.csv",schema=schema,mode="PERMISSIVE") df.filter(df._corrupt_record.isNotNull()).show() // Allowed {code} > Querying internal corrupt record column should not be allowed in filter > operation > - > > Key: SPARK-29621 > URL: https://issues.apache.org/jira/browse/SPARK-29621 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.0 >Reporter: Suchintak Patnaik >Priority: Major > Labels: PySpark, SparkSQL > > As per > *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, > _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when > the referenced columns only include the internal corrupt record column"_ > But it's allowing while querying only the internal corrupt record column in > case of *filter* operation. > {code} > from pyspark.sql.types import * > schema = StructType([ > StructField("_corrupt_record", StringType(), False), > StructField("Name", StringType(), False), > StructField("Colour", StringType(), True), > StructField("Price", IntegerType(), True), > StructField("Quantity", IntegerType(), True)]) > df = spark.read.csv("fruit.csv", schema=schema, mode="PERMISSIVE") > df.filter(df._corrupt_record.isNotNull()).show() # Allowed > {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
[jira] [Updated] (SPARK-29621) Querying internal corrupt record column should not be allowed in filter operation
[ https://issues.apache.org/jira/browse/SPARK-29621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-29621: - Description: As per *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the referenced columns only include the internal corrupt record column"_ But it's allowing while querying only the internal corrupt record column in case of *filter* operation. {code} from pyspark.sql.types import * schema = StructType([ StructField("_corrupt_record",StringType(),False), StructField("Name",StringType(),False), StructField("Colour",StringType(),True), StructField("Price",IntegerType(),True), StructField("Quantity",IntegerType(),True)]) df = spark.read.csv("fruit.csv",schema=schema,mode="PERMISSIVE") df.filter(df._corrupt_record.isNotNull()).show() // Allowed {code} was: As per *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the referenced columns only include the internal corrupt record column"_ But it's allowing while querying only the internal corrupt record column in case of *filter* operation. from pyspark.sql.types import * schema = StructType([StructField("_corrupt_record",StringType(),False),StructField("Name",StringType(),False),StructField("Colour",StringType(),True),StructField("Price",IntegerType(),True),StructField("Quantity",IntegerType(),True)]) df = spark.read.csv("fruit.csv",schema=schema,mode="PERMISSIVE") df.filter(df._corrupt_record.isNotNull()).show() // Allowed > Querying internal corrupt record column should not be allowed in filter > operation > - > > Key: SPARK-29621 > URL: https://issues.apache.org/jira/browse/SPARK-29621 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.0 >Reporter: Suchintak Patnaik >Priority: Major > Labels: PySpark, SparkSQL > > As per > *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, > _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when > the referenced columns only include the internal corrupt record column"_ > But it's allowing while querying only the internal corrupt record column in > case of *filter* operation. > {code} > from pyspark.sql.types import * > schema = StructType([ > StructField("_corrupt_record",StringType(),False), > StructField("Name",StringType(),False), > StructField("Colour",StringType(),True), > StructField("Price",IntegerType(),True), > StructField("Quantity",IntegerType(),True)]) > df = spark.read.csv("fruit.csv",schema=schema,mode="PERMISSIVE") > df.filter(df._corrupt_record.isNotNull()).show() // Allowed > {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
[jira] [Updated] (SPARK-29621) Querying internal corrupt record column should not be allowed in filter operation
[ https://issues.apache.org/jira/browse/SPARK-29621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Suchintak Patnaik updated SPARK-29621: -- Labels: PySpark SparkSQL (was: ) > Querying internal corrupt record column should not be allowed in filter > operation > - > > Key: SPARK-29621 > URL: https://issues.apache.org/jira/browse/SPARK-29621 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.0 >Reporter: Suchintak Patnaik >Priority: Major > Labels: PySpark, SparkSQL > > As per > *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*, > _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when > the referenced columns only include the internal corrupt record column"_ > But it's allowing while querying only the internal corrupt record column in > case of *filter* operation. > from pyspark.sql.types import * > schema = > StructType([StructField("_corrupt_record",StringType(),False),StructField("Name",StringType(),False),StructField("Colour",StringType(),True),StructField("Price",IntegerType(),True),StructField("Quantity",IntegerType(),True)]) > df = spark.read.csv("fruit.csv",schema=schema,mode="PERMISSIVE") > df.filter(df._corrupt_record.isNotNull()).show() // Allowed -- 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