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https://issues.apache.org/jira/browse/SPARK-30149?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joby Joje updated SPARK-30149:
------------------------------
Attachment: (was: Output.txt)
> Schema Definition Spark Read
> ----------------------------
>
> Key: SPARK-30149
> URL: https://issues.apache.org/jira/browse/SPARK-30149
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Spark Core
> Affects Versions: 2.4.0
> Reporter: Joby Joje
> Priority: Blocker
> Attachments: Schema.py, Test.SDL, Test1.SDL
>
>
> Reading a CSV file with defined schema I am able to load the files and do the
> processing, which works fine using the below code. The schema is defined as
> to strictly follow the datatype to record precision's with accuracy.
> {code:java}
> source_schema = StructType([source_schema = StructType([ StructField("NAME",
> StringType(), True), StructField("AGE", StringType(), True),
> StructField("GENDER", StringType(), True), StructField("PROFESSION",
> StringType(), True), StructField("SALARY", DecimalType(38, 14), True),
> StructField("BAD_RECORD", StringType(), True)]){code}
> {code:java}
> df_raw_file = sparksession.read \
> .format("csv") \
> .option("delimiter", '\t') \
> .option("header", "false") \
> .option("inferSchema", "true") \
> .option("columnNameOfCorruptRecord", "BAD_RECORD") \
> .schema(source_schema) \ .load(in_file_list) \
> .withColumn("LINE_NUMBER", monotonically_increasing_id()) \
> .withColumn("SOURCE_FILE_NAME", input_file_name()){code}
> As per the Spark Documentation the mode is {{PERMISSIVE}} by default is its
> not set and A record with less/more tokens than schema is not a corrupted
> record to CSV. When it meets a record having fewer tokens than the length of
> the schema, sets {{null}} to extra fields. When the record has more tokens
> than the length of the schema, it drops extra tokens.
> {code:java}
> FILE SCHEMA TEST.CSVFILE SCHEMA TEST.CSV
> root
> |-- NAME: string (nullable = true)
> |-- AGE: string (nullable = true)
> |-- GENDER: string (nullable = true)
> |-- PROFESSION: string (nullable = true)
> |-- SALARY: decimal(38,14) (nullable = true)
> |-- BAD_RECORD: string (nullable = true)
> |-- LINE_NUMBER: long (nullable = false)
> |-- SOURCE_FILE_NAME: string (nullable = false)
> OUTPUT THE FILE TEST.CSV
> +------+----+------+----------+------------------+---------------------------------+-----------+-----------------+
> |NAME |AGE |GENDER|PROFESSION|SALARY |BAD_RECORD
> |LINE_NUMBER|SOURCE_FILE_NAME |
> +------+----+------+----------+------------------+---------------------------------+-----------+-----------------+
> |null |null|null |null |null |NAME AGE GENDER
> PROFESSION SALARY|0 |Test.CSV|
> |JOHN |27 |MALE |CEO |300.12314234500000|null
> |1 |Test.CSV|
> |JUSTIN|67 |MALE |CTO |123.23453543450000|null
> |2 |Test.CSV|
> |SARAH |45 |FEMALE|CS |null |null
> |3 |Test.CSV|
> |SEAN |66 |MALE |CA |null |SEAN 66 MALE
> CA |4 |Test.CSV|
> |PHIL |34 |MALE |null |234.98698600000000|null
> |5 |Test.CSV|
> |null |null|null |null |null |JILL 25
> BOARD |6 |Test.CSV|
> |JACK |30 |MALE |BOARD |null |JACK 30 MALE
> BOARD |7 |Test.CSV|
> +------+----+------+----------+------------------+---------------------------------+-----------+-----------------+{code}
>
> The TEST1.CSV doesnt have the SALARY column so it should have NULLED the
> column and the BAD_RECORD column should be NULL for the rows, that doesnt
> seem to happen and the values are considered as CORRUPT.
> Also when it meets a corrupted record, puts the malformed string into a field
> configured by {{columnNameOfCorruptRecord}}, and sets other fields to
> {{null}} this is also not happening and I see this happening only for the
> JILL row.
> {code:java}
> FILE SCHEMA TEST1.CSV
> root
> |-- NAME: string (nullable = true)
> |-- AGE: string (nullable = true)
> |-- GENDER: string (nullable = true)
> |-- PROFESSION: string (nullable = true)
> |-- SALARY: decimal(38,14) (nullable = true)
> |-- BAD_RECORD: string (nullable = true)
> |-- LINE_NUMBER: long (nullable = false)
> |-- SOURCE_FILE_NAME: string (nullable = false)
> OUTPUT THE FILE TEST1.CSV
> +------+----+------+----------+------+--------------------------+-----------+-----------------+
> |NAME |AGE |GENDER|PROFESSION|SALARY|BAD_RECORD
> |LINE_NUMBER|SOURCE_FILE_NAME |
> +------+----+------+----------+------+--------------------------+-----------+-----------------+
>
> |NAME |AGE |GENDER|PROFESSION|null |NAME AGE GENDER PROFESSION|0 |Test1.CSV|
> |JOHN |27 |MALE |CEO |null |JOHN 27 MALE CEO |1 |Test1.CSV|
> |JUSTIN|67 |MALE |CTO |null |JUSTIN 67 MALE CTO |2 |Test1.CSV|
> |SARAH |45 |FEMALE|CS |null |SARAH 45 FEMALE CS |3 |Test1.CSV|
> |SEAN |66 |MALE |CA |null |SEAN 66 MALE CA |4 |Test1.CSV|
> |PHIL |34 |MALE |null |null |PHIL 34 MALE |5 |Test1.CSV|
> |null |null|null |null |null |JILL 25 BOARD |6 |Test1.CSV|
> |JACK |30 |MALE |BOARD |null |JACK 30 MALE BOARD |7 |Test1.CSV|
> +------+----+------+----------+------+--------------------------+-----------+-----------------+{code}
> Attached the code, output and source files used for test.
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