[SQOOP-3047] Add support for (import + --hive-import + --as-parquet) when Parquet table already exists

• Type: Improvement
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Component/s: hive-integration
• Assignee: Vasas Szabolcs
• Reporter: Markus Kemper
• Created: 04/Nov/16 22:47
• Updated: 05/Dec/16 10:19

Description

When a parquet table already exists (import + --hive-import + --as-parquetfile) will 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)

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')            |
+----------------------------------------------------+--+

REPRODUCE ISSUE (import --hive-import append and overwrite)

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"}

WORKAROUND (create parquet table with Sqoop import --hive-import)

STEP 01: Create Parquet Table with Sqoop 

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 --hive-import --hive-database default --hive-table t1 --as-parquetfile --num-mappers 1
hdfs dfs -ls -R /user/hive/warehouse/t1
hdfs dfs -cat /user/hive/warehouse/t1/.metadata/schemas/1.avsc

Output:
drwxr-xr-x   - root hive                0 2016-11-02 21:12 /user/hive/warehouse/t1/.metadata
drwxr-xr-x   - root hive                0 2016-11-02 21:12 /user/hive/warehouse/t1/.metadata/schemas
-rw-r--r--   3 root hive              522 2016-11-02 21:12 /user/hive/warehouse/t1/.metadata/schemas/1.avsc
drwxr-xr-x   - root hive                0 2016-11-02 21:12 /user/hive/warehouse/t1/.signals
-rw-r--r--   3 root hive                0 2016-11-02 21:12 /user/hive/warehouse/t1/.signals/unbounded
-rw-r--r--   3 root supergroup        864 2016-11-02 21:12 /user/hive/warehouse/t1/69f39f03-7b60-472c-a436-0764061fd7e5.parquet

---

{
  "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: Demonstrate (import 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
beeline -u jdbc:hive2:// -e "use default; select * from t1;"

+-----------+----------------+-----------------+--+
| t1.c_int  |   t1.c_date    | t1.c_timestamp  |
+-----------+----------------+-----------------+--+
| 1         | 1478070000000  | 1478142514000   |
+-----------+----------------+-----------------+--+

STEP 03: Demonstrate (import append)

sqoop eval --connect $MYCONN --username $MYUSER --password $MYPSWD --query "insert into t1 values (2, current_date(), current_timestamp())"
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 --where "c_int = 2" --append
beeline -u jdbc:hive2:// -e "use default; select * from t1;"

+-----------+----------------+-----------------+--+
| t1.c_int  |   t1.c_date    | t1.c_timestamp  |
+-----------+----------------+-----------------+--+
| 1         | 1478070000000  | 1478142514000   |
| 2         | 1478242800000  | 1478297764000   |
+-----------+----------------+-----------------+--+

Issue Links

• is related to: SQOOP-3046 Add support for (import + --hcatalog* + --as-parquetfile)
• relates to: SQOOP-3068 Enhance error (tool.ImportTool: Encountered IOException running import job: java.io.IOException: Expected schema) to suggest workaround (--map-column-java)