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https://issues.apache.org/jira/browse/SPARK-31065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-31065:
----------------------------------
Affects Version/s: 2.4.0
2.4.1
2.4.2
2.4.3
2.4.4
> Empty string values cause schema_of_json() to return a schema not usable by
> from_json()
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-31065
> URL: https://issues.apache.org/jira/browse/SPARK-31065
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.4.5, 3.0.0
> Reporter: Nicholas Chammas
> Priority: Minor
>
> Here's a reproduction:
>
> {code:python}
> from pyspark.sql.functions import from_json, schema_of_json
> json = '{"a": ""}'
> df = spark.createDataFrame([(json,)], schema=['json'])
> df.show()
> # chokes with org.apache.spark.sql.catalyst.parser.ParseException
> json_schema = schema_of_json(json)
> df.select(from_json('json', json_schema))
> # works fine
> json_schema = spark.read.json(df.rdd.map(lambda x: x[0])).schema
> df.select(from_json('json', json_schema))
> {code}
> The output:
> {code:java}
> >>> from pyspark.sql.functions import from_json, schema_of_json
> >>> json = '{"a": ""}'
> >>>
> >>> df = spark.createDataFrame([(json,)], schema=['json'])
> >>> df.show()
> +---------+
> | json|
> +---------+
> |{"a": ""}|
> +---------+
> >>>
> >>> # chokes with org.apache.spark.sql.catalyst.parser.ParseException
> >>> json_schema = schema_of_json(json)
> >>> df.select(from_json('json', json_schema))
> Traceback (most recent call last):
> File ".../site-packages/pyspark/sql/utils.py", line 63, in deco
> return f(*a, **kw)
> File
> ".../site-packages/pyspark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling
> z:org.apache.spark.sql.functions.from_json.
> : org.apache.spark.sql.catalyst.parser.ParseException:
> extraneous input '<' expecting {'SELECT', 'FROM', 'ADD', 'AS', 'ALL', 'ANY',
> 'DISTINCT', 'WHERE', 'GROUP', 'BY', 'GROUPING', 'SETS', 'CUBE', 'ROLLUP',
> 'ORDER', 'HAVING', 'LIMIT', 'AT', 'OR', 'AND', 'IN', NOT, 'NO', 'EXISTS',
> 'BETWEEN', 'LIKE', RLIKE, 'IS', 'NULL', 'TRUE', 'FALSE', 'NULLS', 'ASC',
> 'DESC', 'FOR', 'INTERVAL', 'CASE', 'WHEN', 'THEN', 'ELSE', 'END', 'JOIN',
> 'CROSS', 'OUTER', 'INNER', 'LEFT', 'SEMI', 'RIGHT', 'FULL', 'NATURAL', 'ON',
> 'PIVOT', 'LATERAL', 'WINDOW', 'OVER', 'PARTITION', 'RANGE', 'ROWS',
> 'UNBOUNDED', 'PRECEDING', 'FOLLOWING', 'CURRENT', 'FIRST', 'AFTER', 'LAST',
> 'ROW', 'WITH', 'VALUES', 'CREATE', 'TABLE', 'DIRECTORY', 'VIEW', 'REPLACE',
> 'INSERT', 'DELETE', 'INTO', 'DESCRIBE', 'EXPLAIN', 'FORMAT', 'LOGICAL',
> 'CODEGEN', 'COST', 'CAST', 'SHOW', 'TABLES', 'COLUMNS', 'COLUMN', 'USE',
> 'PARTITIONS', 'FUNCTIONS', 'DROP', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT',
> 'TO', 'TABLESAMPLE', 'STRATIFY', 'ALTER', 'RENAME', 'ARRAY', 'MAP', 'STRUCT',
> 'COMMENT', 'SET', 'RESET', 'DATA', 'START', 'TRANSACTION', 'COMMIT',
> 'ROLLBACK', 'MACRO', 'IGNORE', 'BOTH', 'LEADING', 'TRAILING', 'IF',
> 'POSITION', 'EXTRACT', 'DIV', 'PERCENT', 'BUCKET', 'OUT', 'OF', 'SORT',
> 'CLUSTER', 'DISTRIBUTE', 'OVERWRITE', 'TRANSFORM', 'REDUCE', 'SERDE',
> 'SERDEPROPERTIES', 'RECORDREADER', 'RECORDWRITER', 'DELIMITED', 'FIELDS',
> 'TERMINATED', 'COLLECTION', 'ITEMS', 'KEYS', 'ESCAPED', 'LINES', 'SEPARATED',
> 'FUNCTION', 'EXTENDED', 'REFRESH', 'CLEAR', 'CACHE', 'UNCACHE', 'LAZY',
> 'FORMATTED', 'GLOBAL', TEMPORARY, 'OPTIONS', 'UNSET', 'TBLPROPERTIES',
> 'DBPROPERTIES', 'BUCKETS', 'SKEWED', 'STORED', 'DIRECTORIES', 'LOCATION',
> 'EXCHANGE', 'ARCHIVE', 'UNARCHIVE', 'FILEFORMAT', 'TOUCH', 'COMPACT',
> 'CONCATENATE', 'CHANGE', 'CASCADE', 'RESTRICT', 'CLUSTERED', 'SORTED',
> 'PURGE', 'INPUTFORMAT', 'OUTPUTFORMAT', DATABASE, DATABASES, 'DFS',
> 'TRUNCATE', 'ANALYZE', 'COMPUTE', 'LIST', 'STATISTICS', 'PARTITIONED',
> 'EXTERNAL', 'DEFINED', 'REVOKE', 'GRANT', 'LOCK', 'UNLOCK', 'MSCK', 'REPAIR',
> 'RECOVER', 'EXPORT', 'IMPORT', 'LOAD', 'ROLE', 'ROLES', 'COMPACTIONS',
> 'PRINCIPALS', 'TRANSACTIONS', 'INDEX', 'INDEXES', 'LOCKS', 'OPTION', 'ANTI',
> 'LOCAL', 'INPATH', IDENTIFIER, BACKQUOTED_IDENTIFIER}(line 1, pos 6)
> == SQL ==
> struct<a:null>
> ------^^^
> at
> org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:241)
> at
> org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:117)
> at
> org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parseTableSchema(ParseDriver.scala:64)
> at org.apache.spark.sql.types.DataType$.fromDDL(DataType.scala:123)
> at
> org.apache.spark.sql.catalyst.expressions.JsonExprUtils$.evalSchemaExpr(jsonExpressions.scala:777)
> at
> org.apache.spark.sql.catalyst.expressions.JsonToStructs.<init>(jsonExpressions.scala:527)
> at org.apache.spark.sql.functions$.from_json(functions.scala:3606)
> at org.apache.spark.sql.functions.from_json(functions.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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
> During handling of the above exception, another exception occurred:
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File ".../site-packages/pyspark/sql/functions.py", line 2284, in from_json
> jc = sc._jvm.functions.from_json(_to_java_column(col), schema, options)
> File
> ".../site-packages/pyspark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",
> line 1257, in __call__
> File ".../site-packages/pyspark/sql/utils.py", line 73, in deco
> raise ParseException(s.split(': ', 1)[1], stackTrace)
> pyspark.sql.utils.ParseException: "\nextraneous input '<' expecting
> {'SELECT', 'FROM', 'ADD', 'AS', 'ALL', 'ANY', 'DISTINCT', 'WHERE', 'GROUP',
> 'BY', 'GROUPING', 'SETS', 'CUBE', 'ROLLUP', 'ORDER', 'HAVING', 'LIMIT', 'AT',
> 'OR', 'AND', 'IN', NOT, 'NO', 'EXISTS', 'BETWEEN', 'LIKE', RLIKE, 'IS',
> 'NULL', 'TRUE', 'FALSE', 'NULLS', 'ASC', 'DESC', 'FOR', 'INTERVAL', 'CASE',
> 'WHEN', 'THEN', 'ELSE', 'END', 'JOIN', 'CROSS', 'OUTER', 'INNER', 'LEFT',
> 'SEMI', 'RIGHT', 'FULL', 'NATURAL', 'ON', 'PIVOT', 'LATERAL', 'WINDOW',
> 'OVER', 'PARTITION', 'RANGE', 'ROWS', 'UNBOUNDED', 'PRECEDING', 'FOLLOWING',
> 'CURRENT', 'FIRST', 'AFTER', 'LAST', 'ROW', 'WITH', 'VALUES', 'CREATE',
> 'TABLE', 'DIRECTORY', 'VIEW', 'REPLACE', 'INSERT', 'DELETE', 'INTO',
> 'DESCRIBE', 'EXPLAIN', 'FORMAT', 'LOGICAL', 'CODEGEN', 'COST', 'CAST',
> 'SHOW', 'TABLES', 'COLUMNS', 'COLUMN', 'USE', 'PARTITIONS', 'FUNCTIONS',
> 'DROP', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT', 'TO', 'TABLESAMPLE',
> 'STRATIFY', 'ALTER', 'RENAME', 'ARRAY', 'MAP', 'STRUCT', 'COMMENT', 'SET',
> 'RESET', 'DATA', 'START', 'TRANSACTION', 'COMMIT', 'ROLLBACK', 'MACRO',
> 'IGNORE', 'BOTH', 'LEADING', 'TRAILING', 'IF', 'POSITION', 'EXTRACT', 'DIV',
> 'PERCENT', 'BUCKET', 'OUT', 'OF', 'SORT', 'CLUSTER', 'DISTRIBUTE',
> 'OVERWRITE', 'TRANSFORM', 'REDUCE', 'SERDE', 'SERDEPROPERTIES',
> 'RECORDREADER', 'RECORDWRITER', 'DELIMITED', 'FIELDS', 'TERMINATED',
> 'COLLECTION', 'ITEMS', 'KEYS', 'ESCAPED', 'LINES', 'SEPARATED', 'FUNCTION',
> 'EXTENDED', 'REFRESH', 'CLEAR', 'CACHE', 'UNCACHE', 'LAZY', 'FORMATTED',
> 'GLOBAL', TEMPORARY, 'OPTIONS', 'UNSET', 'TBLPROPERTIES', 'DBPROPERTIES',
> 'BUCKETS', 'SKEWED', 'STORED', 'DIRECTORIES', 'LOCATION', 'EXCHANGE',
> 'ARCHIVE', 'UNARCHIVE', 'FILEFORMAT', 'TOUCH', 'COMPACT', 'CONCATENATE',
> 'CHANGE', 'CASCADE', 'RESTRICT', 'CLUSTERED', 'SORTED', 'PURGE',
> 'INPUTFORMAT', 'OUTPUTFORMAT', DATABASE, DATABASES, 'DFS', 'TRUNCATE',
> 'ANALYZE', 'COMPUTE', 'LIST', 'STATISTICS', 'PARTITIONED', 'EXTERNAL',
> 'DEFINED', 'REVOKE', 'GRANT', 'LOCK', 'UNLOCK', 'MSCK', 'REPAIR', 'RECOVER',
> 'EXPORT', 'IMPORT', 'LOAD', 'ROLE', 'ROLES', 'COMPACTIONS', 'PRINCIPALS',
> 'TRANSACTIONS', 'INDEX', 'INDEXES', 'LOCKS', 'OPTION', 'ANTI', 'LOCAL',
> 'INPATH', IDENTIFIER, BACKQUOTED_IDENTIFIER}(line 1, pos 6)\n\n== SQL
> ==\nstruct<a:null>\n------^^^\n"
> >>>
> >>> # works fine
> >>> json_schema = spark.read.json(df.rdd.map(lambda x: x[0])).schema
> >>> df.select(from_json('json', json_schema))
> DataFrame[jsontostructs(json): struct<a:string>]
> {code}
> I assumed that {{schema_of_json()}} would use the same code path that
> underlies {{spark.read.json()}}, but I guess there is something different
> that trips up the parser.
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