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https://issues.apache.org/jira/browse/SPARK-20712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16506456#comment-16506456
]
Wenchen Fan commented on SPARK-20712:
-------------------------------------
I looked into this. This is actually a hive bug and I feel it's impossible to
fix it at Spark side, even with Spark 2.0. [~maver1ck] can you double check
that you can use Spark 2.0 to read the same table without problems?
Ideally Hive would report the error when creating the table, I'm not sure how
the malformed table get slipped into the Hive metastore.
> [SPARK 2.1 REGRESSION][SQL] Spark can't read Hive table when column type has
> length greater than 4000 bytes
> -----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-20712
> URL: https://issues.apache.org/jira/browse/SPARK-20712
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.1, 2.1.2, 2.2.0, 2.3.0
> Reporter: Maciej Bryński
> Priority: Critical
>
> Hi,
> I have following issue.
> I'm trying to read a table from hive when one of the column is nested so it's
> schema has length longer than 4000 bytes.
> Everything worked on Spark 2.0.2. On 2.1.1 I'm getting Exception:
> {code}
> >> spark.read.table("SOME_TABLE")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/opt/spark-2.1.1/python/pyspark/sql/readwriter.py", line 259, in table
> return self._df(self._jreader.table(tableName))
> File
> "/opt/spark-2.1.1/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line
> 1133, in __call__
> File "/opt/spark-2.1.1/python/pyspark/sql/utils.py", line 63, in deco
> return f(*a, **kw)
> File "/opt/spark-2.1.1/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py",
> line 319, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o71.table.
> : org.apache.spark.SparkException: Cannot recognize hive type string:
> SOME_VERY_LONG_FIELD_TYPE
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.org$apache$spark$sql$hive$client$HiveClientImpl$$fromHiveColumn(HiveClientImpl.scala:789)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:365)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:365)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:365)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:361)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:361)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:359)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:279)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:226)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:225)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:268)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getTableOption(HiveClientImpl.scala:359)
> at
> org.apache.spark.sql.hive.client.HiveClient$class.getTable(HiveClient.scala:74)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getTable(HiveClientImpl.scala:78)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable(HiveExternalCatalog.scala:117)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:628)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:628)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.getTable(HiveExternalCatalog.scala:627)
> at
> org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:124)
> at
> org.apache.spark.sql.hive.HiveSessionCatalog.lookupRelation(HiveSessionCatalog.scala:70)
> at
> org.apache.spark.sql.DataFrameReader.table(DataFrameReader.scala:473)
> 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:497)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:280)
> at
> py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
> mismatched input '<EOF>' expecting ':'(line 1, pos 4000)
> {code}
> EDIT:
> Way to reproduce this error (from pyspark)
> {code}
> >>> spark.range(10).selectExpr(*(map(lambda x: "id as
> >>> very_long_column_name_id" + str(x), range(200)))).selectExpr("struct(*)
> >>> as nested").write.saveAsTable("test")
> >>> spark.read.table("test")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/opt/spark-2.1.1/python/pyspark/sql/readwriter.py", line 259, in table
> return self._df(self._jreader.table(tableName))
> File
> "/opt/spark-2.1.1/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line
> 1133, in __call__
> File "/opt/spark-2.1.1/python/pyspark/sql/utils.py", line 63, in deco
> return f(*a, **kw)
> File "/opt/spark-2.1.1/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py",
> line 319, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o260.table.
> : org.apache.spark.SparkException: Cannot recognize hive type
> string:struct<very_long_column_name_id0:bigint,very_long_column_name_id1:bigint,very_long_column_name_id2:bigint,very_long_column_name_id3:bigint,very_long_column_name_id4:bigint,very_long_column_name_id5:bigint,very_long_column_name_id6:bigint,very_long_column_name_id7:bigint,very_long_column_name_id8:bigint,very_long_column_name_id9:bigint,very_long_column_name_id10:bigint,very_long_column_name_id11:bigint,very_long_column_name_id12:bigint,very_long_column_name_id13:bigint,very_long_column_name_id14:bigint,very_long_column_name_id15:bigint,very_long_column_name_id16:bigint,very_long_column_name_id17:bigint,very_long_column_name_id18:bigint,very_long_column_name_id19:bigint,very_long_column_name_id20:bigint,very_long_column_name_id21:bigint,very_long_column_name_id22:bigint,very_long_column_name_id23:bigint,very_long_column_name_id24:bigint,very_long_column_name_id25:bigint,very_long_column_name_id26:bigint,very_long_column_name_id27:bigint,very_long_column_name_id28:bigint,very_long_column_name_id29:bigint,very_long_column_name_id30:bigint,very_long_column_name_id31:bigint,very_long_column_name_id32:bigint,very_long_column_name_id33:bigint,very_long_column_name_id34:bigint,very_long_column_name_id35:bigint,very_long_column_name_id36:bigint,very_long_column_name_id37:bigint,very_long_column_name_id38:bigint,very_long_column_name_id39:bigint,very_long_column_name_id40:bigint,very_long_column_name_id41:bigint,very_long_column_name_id42:bigint,very_long_column_name_id43:bigint,very_long_column_name_id44:bigint,very_long_column_name_id45:bigint,very_long_column_name_id46:bigint,very_long_column_name_id47:bigint,very_long_column_name_id48:bigint,very_long_column_name_id49:bigint,very_long_column_name_id50:bigint,very_long_column_name_id51:bigint,very_long_column_name_id52:bigint,very_long_column_name_id53:bigint,very_long_column_name_id54:bigint,very_long_column_name_id55:bigint,very_long_column_name_id56:bigint,very_long_column_name_id57:bigint,very_long_column_name_id58:bigint,very_long_column_name_id59:bigint,very_long_column_name_id60:bigint,very_long_column_name_id61:bigint,very_long_column_name_id62:bigint,very_long_column_name_id63:bigint,very_long_column_name_id64:bigint,very_long_column_name_id65:bigint,very_long_column_name_id66:bigint,very_long_column_name_id67:bigint,very_long_column_name_id68:bigint,very_long_column_name_id69:bigint,very_long_column_name_id70:bigint,very_long_column_name_id71:bigint,very_long_column_name_id72:bigint,very_long_column_name_id73:bigint,very_long_column_name_id74:bigint,very_long_column_name_id75:bigint,very_long_column_name_id76:bigint,very_long_column_name_id77:bigint,very_long_column_name_id78:bigint,very_long_column_name_id79:bigint,very_long_column_name_id80:bigint,very_long_column_name_id81:bigint,very_long_column_name_id82:bigint,very_long_column_name_id83:bigint,very_long_column_name_id84:bigint,very_long_column_name_id85:bigint,very_long_column_name_id86:bigint,very_long_column_name_id87:bigint,very_long_column_name_id88:bigint,very_long_column_name_id89:bigint,very_long_column_name_id90:bigint,very_long_column_name_id91:bigint,very_long_column_name_id92:bigint,very_long_column_name_id93:bigint,very_long_column_name_id94:bigint,very_long_column_name_id95:bigint,very_long_column_name_id96:bigint,very_long_column_name_id97:bigint,very_long_column_name_id98:bigint,very_long_column_name_id99:bigint,very_long_column_name_id100:bigint,very_long_column_name_id101:bigint,very_long_column_name_id102:bigint,very_long_column_name_id103:bigint,very_long_column_name_id104:bigint,very_long_column_name_id105:bigint,very_long_column_name_id106:bigint,very_long_column_name_id107:bigint,very_long_column_name_id108:bigint,very_long_column_name_id109:bigint,very_long_column_name_id110:bigint,very_long_column_name_id111:bigint,very_long_column_name_id112:bigint,very_long_column_name_id113:bigint,very_long_column_name_id114:bigint,very_long_column_name_id115:bigint,very_long_column_name_id116:bigint,very_lon
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.org$apache$spark$sql$hive$client$HiveClientImpl$$fromHiveColumn(HiveClientImpl.scala:789)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:365)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:365)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:365)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:361)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:361)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:359)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:279)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:226)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:225)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:268)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getTableOption(HiveClientImpl.scala:359)
> at
> org.apache.spark.sql.hive.client.HiveClient$class.getTable(HiveClient.scala:74)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getTable(HiveClientImpl.scala:78)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable(HiveExternalCatalog.scala:117)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:628)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:628)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.getTable(HiveExternalCatalog.scala:627)
> at
> org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:124)
> at
> org.apache.spark.sql.hive.HiveSessionCatalog.lookupRelation(HiveSessionCatalog.scala:70)
> at
> org.apache.spark.sql.DataFrameReader.table(DataFrameReader.scala:473)
> 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:497)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:280)
> at
> py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
> mismatched input '<EOF>' expecting ':'(line 1, pos 4000)
> {code}
> From Spark 2.0.2:
> {code}
> >>> spark.read.table("test")
> DataFrame[nested:
> struct<very_long_column_name_id0:bigint,very_long_column_name_id1:bigint,very_long_column_name_id2:bigint,very_long_column_name_id3:bigint,very_long_column_name_id4:bigint,very_long_column_name_id5:bigint,very_long_column_name_id6:bigint,very_long_column_name_id7:bigint,very_long_column_name_id8:bigint,very_long_column_name_id9:bigint,very_long_column_name_id10:bigint,very_long_column_name_id11:bigint,very_long_column_name_id12:bigint,very_long_column_name_id13:bigint,very_long_column_name_id14:bigint,very_long_column_name_id15:bigint,very_long_column_name_id16:bigint,very_long_column_name_id17:bigint,very_long_column_name_id18:bigint,very_long_column_name_id19:bigint,very_long_column_name_id20:bigint,very_long_column_name_id21:bigint,very_long_column_name_id22:bigint,very_long_column_name_id23:bigint,very_long_column_name_id24:bigint,very_long_column_name_id25:bigint,very_long_column_name_id26:bigint,very_long_column_name_id27:bigint,very_long_column_name_id28:bigint,very_long_column_name_id29:bigint,very_long_column_name_id30:bigint,very_long_column_name_id31:bigint,very_long_column_name_id32:bigint,very_long_column_name_id33:bigint,very_long_column_name_id34:bigint,very_long_column_name_id35:bigint,very_long_column_name_id36:bigint,very_long_column_name_id37:bigint,very_long_column_name_id38:bigint,very_long_column_name_id39:bigint,very_long_column_name_id40:bigint,very_long_column_name_id41:bigint,very_long_column_name_id42:bigint,very_long_column_name_id43:bigint,very_long_column_name_id44:bigint,very_long_column_name_id45:bigint,very_long_column_name_id46:bigint,very_long_column_name_id47:bigint,very_long_column_name_id48:bigint,very_long_column_name_id49:bigint,very_long_column_name_id50:bigint,very_long_column_name_id51:bigint,very_long_column_name_id52:bigint,very_long_column_name_id53:bigint,very_long_column_name_id54:bigint,very_long_column_name_id55:bigint,very_long_column_name_id56:bigint,very_long_column_name_id57:bigint,very_long_column_name_id58:bigint,very_long_column_name_id59:bigint,very_long_column_name_id60:bigint,very_long_column_name_id61:bigint,very_long_column_name_id62:bigint,very_long_column_name_id63:bigint,very_long_column_name_id64:bigint,very_long_column_name_id65:bigint,very_long_column_name_id66:bigint,very_long_column_name_id67:bigint,very_long_column_name_id68:bigint,very_long_column_name_id69:bigint,very_long_column_name_id70:bigint,very_long_column_name_id71:bigint,very_long_column_name_id72:bigint,very_long_column_name_id73:bigint,very_long_column_name_id74:bigint,very_long_column_name_id75:bigint,very_long_column_name_id76:bigint,very_long_column_name_id77:bigint,very_long_column_name_id78:bigint,very_long_column_name_id79:bigint,very_long_column_name_id80:bigint,very_long_column_name_id81:bigint,very_long_column_name_id82:bigint,very_long_column_name_id83:bigint,very_long_column_name_id84:bigint,very_long_column_name_id85:bigint,very_long_column_name_id86:bigint,very_long_column_name_id87:bigint,very_long_column_name_id88:bigint,very_long_column_name_id89:bigint,very_long_column_name_id90:bigint,very_long_column_name_id91:bigint,very_long_column_name_id92:bigint,very_long_column_name_id93:bigint,very_long_column_name_id94:bigint,very_long_column_name_id95:bigint,very_long_column_name_id96:bigint,very_long_column_name_id97:bigint,very_long_column_name_id98:bigint,very_long_column_name_id99:bigint,very_long_column_name_id100:bigint,very_long_column_name_id101:bigint,very_long_column_name_id102:bigint,very_long_column_name_id103:bigint,very_long_column_name_id104:bigint,very_long_column_name_id105:bigint,very_long_column_name_id106:bigint,very_long_column_name_id107:bigint,very_long_column_name_id108:bigint,very_long_column_name_id109:bigint,very_long_column_name_id110:bigint,very_long_column_name_id111:bigint,very_long_column_name_id112:bigint,very_long_column_name_id113:bigint,very_long_column_name_id114:bigint,very_long_column_name_id115:bigint,very_long_column_name_id116:bigint,very_long_column_name_id117:bigint,very_long_column_name_id118:bigint,very_long_column_name_id119:bigint,very_long_column_name_id120:bigint,very_long_column_name_id121:bigint,very_long_column_name_id122:bigint,very_long_column_name_id123:bigint,very_long_column_name_id124:bigint,very_long_column_name_id125:bigint,very_long_column_name_id126:bigint,very_long_column_name_id127:bigint,very_long_column_name_id128:bigint,very_long_column_name_id129:bigint,very_long_column_name_id130:bigint,very_long_column_name_id131:bigint,very_long_column_name_id132:bigint,very_long_column_name_id133:bigint,very_long_column_name_id134:bigint,very_long_column_name_id135:bigint,very_long_column_name_id136:bigint,very_long_column_name_id137:bigint,very_long_column_name_id138:bigint,very_long_column_name_id139:bigint,very_long_column_name_id140:bigint,very_long_column_name_id141:bigint,very_long_column_name_id142:bigint,very_long_column_name_id143:bigint,very_long_column_name_id144:bigint,very_long_column_name_id145:bigint,very_long_column_name_id146:bigint,very_long_column_name_id147:bigint,very_long_column_name_id148:bigint,very_long_column_name_id149:bigint,very_long_column_name_id150:bigint,very_long_column_name_id151:bigint,very_long_column_name_id152:bigint,very_long_column_name_id153:bigint,very_long_column_name_id154:bigint,very_long_column_name_id155:bigint,very_long_column_name_id156:bigint,very_long_column_name_id157:bigint,very_long_column_name_id158:bigint,very_long_column_name_id159:bigint,very_long_column_name_id160:bigint,very_long_column_name_id161:bigint,very_long_column_name_id162:bigint,very_long_column_name_id163:bigint,very_long_column_name_id164:bigint,very_long_column_name_id165:bigint,very_long_column_name_id166:bigint,very_long_column_name_id167:bigint,very_long_column_name_id168:bigint,very_long_column_name_id169:bigint,very_long_column_name_id170:bigint,very_long_column_name_id171:bigint,very_long_column_name_id172:bigint,very_long_column_name_id173:bigint,very_long_column_name_id174:bigint,very_long_column_name_id175:bigint,very_long_column_name_id176:bigint,very_long_column_name_id177:bigint,very_long_column_name_id178:bigint,very_long_column_name_id179:bigint,very_long_column_name_id180:bigint,very_long_column_name_id181:bigint,very_long_column_name_id182:bigint,very_long_column_name_id183:bigint,very_long_column_name_id184:bigint,very_long_column_name_id185:bigint,very_long_column_name_id186:bigint,very_long_column_name_id187:bigint,very_long_column_name_id188:bigint,very_long_column_name_id189:bigint,very_long_column_name_id190:bigint,very_long_column_name_id191:bigint,very_long_column_name_id192:bigint,very_long_column_name_id193:bigint,very_long_column_name_id194:bigint,very_long_column_name_id195:bigint,very_long_column_name_id196:bigint,very_long_column_name_id197:bigint,very_long_column_name_id198:bigint,very_long_column_name_id199:bigint>]
> {code}
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