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Posted to dev@sqoop.apache.org by "Markus Kemper (JIRA)" <ji...@apache.org> on 2016/12/05 10:18:58 UTC
[jira] [Created] (SQOOP-3068) Enhance error (tool.ImportTool:
Encountered IOException running import job: java.io.IOException: Expected
schema) to suggest workaround (--map-column-java)
Markus Kemper created SQOOP-3068:
------------------------------------
Summary: Enhance error (tool.ImportTool: Encountered IOException running import job: java.io.IOException: Expected schema) to suggest workaround (--map-column-java)
Key: SQOOP-3068
URL: https://issues.apache.org/jira/browse/SQOOP-3068
Project: Sqoop
Issue Type: Improvement
Components: hive-integration
Affects Versions: 1.4.6
Reporter: Markus Kemper
Please consider enhancing the error to include more detail and suggest workaround (--map-columns-java).
Sqoop (import + --hive-import + --as-parquetfile) can fail due to a mismatch with the json schema that Hive produces vs. the json schema that Sqoop generates. The test case below demonstrates how to reproduce the issue as well as workaround it.
SETUP (create parquet table with Sqoop import and Beeline CTAS)
{noformat}
STEP 01 - Create MySQL Tables
sqoop eval --connect $MYCONN --username $MYUSER --password $MYPSWD --query "drop table t1"
sqoop eval --connect $MYCONN --username $MYUSER --password $MYPSWD --query "create table t1 (c_int int, c_date date, c_timestamp timestamp)"
sqoop eval --connect $MYCONN --username $MYUSER --password $MYPSWD --query "describe t1"
---------------------------------------------------------------------------------------------------------
| Field | Type | Null | Key | Default | Extra |
---------------------------------------------------------------------------------------------------------
| c_int | int(11) | YES | | (null) | |
| c_date | date | YES | | (null) | |
| c_timestamp | timestamp | NO | | CURRENT_TIMESTAMP | on update CURRENT_TIMESTAMP |
---------------------------------------------------------------------------------------------------------
STEP 02 : Insert and Select Row
sqoop eval --connect $MYCONN --username $MYUSER --password $MYPSWD --query "insert into t1 values (1, current_date(), current_timestamp())"
sqoop eval --connect $MYCONN --username $MYUSER --password $MYPSWD --query "select * from t1"
--------------------------------------------------
| c_int | c_date | c_timestamp |
--------------------------------------------------
| 1 | 2016-10-26 | 2016-10-26 14:30:33.0 |
--------------------------------------------------
STEP 03 : Create Hive Tables
beeline -u jdbc:hive2:// -e "use default; drop table t1"
sqoop import -Dmapreduce.map.log.level=DEBUG --connect $MYCONN --username $MYUSER --password $MYPSWD --table t1 --hcatalog-database default --hcatalog-table t1_text --create-hcatalog-table --hcatalog-storage-stanza 'stored as parquet' --num-mappers 1
beeline -u jdbc:hive2:// -e "use default; create table t1 stored as parquet as select * from t1_text;show create table t1;"
+----------------------------------------------------+--+
| createtab_stmt |
+----------------------------------------------------+--+
| CREATE TABLE `t1`( |
| `c_int` int, |
| `c_date` string, |
| `c_timestamp` string) |
| ROW FORMAT SERDE |
| 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe' |
| STORED AS INPUTFORMAT |
| 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat' |
| OUTPUTFORMAT |
| 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat' |
| LOCATION |
| 'hdfs://<namenode>:8020/user/hive/warehouse/t1' |
| TBLPROPERTIES ( |
| 'COLUMN_STATS_ACCURATE'='true', |
| 'numFiles'='1', |
| 'numRows'='2', |
| 'rawDataSize'='6', |
| 'totalSize'='605', |
| 'transient_lastDdlTime'='1478298298') |
+----------------------------------------------------+--+
{noformat}
REPRODUCE ISSUE (import --hive-import append and overwrite)
{noformat}
STEP 01: Attempt --hive-import --append
sqoop import -Dmapreduce.map.log.level=DEBUG --connect $MYCONN --username $MYUSER --password $MYPSWD --table t1 --hive-import --hive-database default --hive-table t1 --as-parquetfile --num-mappers 1 --append
16/11/02 20:54:23 WARN mapreduce.DataDrivenImportJob: Target Hive table 't1' exists! Sqoop will append data into the existing Hive table. Consider using --hive-overwrite, if you do NOT intend to do appending.
16/11/02 20:54:24 ERROR tool.ImportTool: Encountered IOException running import job: java.io.IOException: Expected schema: {"type":"record","name":"t1","fields":[{"name":"c_int","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"c_date","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"c_timestamp","type":["null","string"],"doc":"Converted from 'string'","default":null}]}
Actual schema: {"type":"record","name":"t1","doc":"Sqoop import of t1","fields":[{"name":"c_int","type":["null","int"],"default":null,"columnName":"c_int","sqlType":"4"},{"name":"c_date","type":["null","long"],"default":null,"columnName":"c_date","sqlType":"91"},{"name":"c_timestamp","type":["null","long"],"default":null,"columnName":"c_timestamp","sqlType":"93"}],"tableName":"t1"}
STEP 02: Attempt --hive-import --hive-overwrite
sqoop import -Dmapreduce.map.log.level=DEBUG --connect $MYCONN --username $MYUSER --password $MYPSWD --table t1 --hive-import --hive-database default --hive-table t1 --as-parquetfile --num-mappers 1 --hive-overwrite
16/11/02 20:56:55 INFO hive.metastore: Connected to metastore.
16/11/02 20:56:56 ERROR tool.ImportTool: Encountered IOException running import job: java.io.IOException: Expected schema: {"type":"record","name":"t1","fields":[{"name":"c_int","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"c_date","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"c_timestamp","type":["null","string"],"doc":"Converted from 'string'","default":null}]}
Actual schema: {"type":"record","name":"t1","doc":"Sqoop import of t1","fields":[{"name":"c_int","type":["null","int"],"default":null,"columnName":"c_int","sqlType":"4"},{"name":"c_date","type":["null","long"],"default":null,"columnName":"c_date","sqlType":"91"},{"name":"c_timestamp","type":["null","long"],"default":null,"columnName":"c_timestamp","sqlType":"93"}],"tableName":"t1"}
{noformat}
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