I have an oracle table with xml data stored in it (xmlType). I'm trying to sqoop it to hdfs with the below command. the xml field is getting displayed as null in the hdfs file.
sqoop import --connect jdbc:oracle:thin:#DBconnString
--username uname --password pwd
--delete-target-dir
--table sample
--map-column-java column1=String
Can anyone suggest what am I doing wrong?
It is a sqoop limitation, the xmlType is not supported.
https://sqoop.apache.org/docs/1.4.6/SqoopUserGuide.html#_supported_data_types
There is a workaround here https://issues.apache.org/jira/browse/SQOOP-2749 which is essentially convert your xmlType to clob and then map it to string using the following option
--map-column-java "XMLRECORD=String"
Related
I'm trying to sqoop the teradata table into Hive using below "sqoop-import" command.
sqoop tdimport
-Dtdch.output.hdfs.avro.schema.file=/tmp/data/country.avsc --connect jdbc:teradata://tdserver/database=SALES --username tduser
--password tdpw --as-avrodatafile --target-dir /tmp/data/country_avro --table COUNTRY
--split-by SALESCOUNTRYCODE --num-mappers 1
The teradata table contains special characters in some columns.After sqooping into Hive, the special characters are not coming proper.
Is there any way to enable the special characters while firing the sqoop import command?
Do we need to use UTF-8, to resolve this issue ?
Can anyone please suggest me regarding this issue ...
ISSUE
I'm using Sqoop to fetch data from Oracle and put it to HDFS. Unlike other basic datatypes i understand SDO_GEOMETRY is meant for spatial data.
My Sqoop job fails while fetching datatype SDO_GEOMETRY.
Need help to import the column Shape with SDO_GEOMETRY datatype from Oracle to Hdfs.
I have more than 1000 tables which has the SDO_GEOMETRY datatype , how can i handle the datatype in general while sqoop imports happen ?
I have tried the --map-column-java and --map-column-hive , but i still get the error.
error :
ERROR tool.ImportTool: Encountered IOException running import job: java.io.IOException: Hive does not support the SQL type for column
SHAPE
SQOOP COMMAND
Below is the sqoop command that i have :
sqoop import --connect 'jdbc:oracle:thin:XXXXX/xxxxx#(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(Host=xxxxxxx)(Port=1521))(CONNECT_DATA=(SID=xxxxx)))' -m 1 --create-hive-table --hive-import --fields-terminated-by '^' --null-string '\\\\N' --null-non-string '\\\\N' --hive-overwrite --hive-table PROD.PLAN1 --target-dir test/PLAN1 --table PROD.PLAN --map-column-hive SE_XAO_CAD_DATA=BINARY --map-column-java SHAPE=String --map-column-hive SHAPE=STRING --delete-target-dir
The default type mapping that Sqoop provides between relational databases and Hadoop is not working in your case that is why Sqoop Job Fails. You need to override the mapping as geometry datatypes not supported by sqoop.
Use the below parameter in your sqoop job
syntax:--map-column-java col1=javaDatatype,col2=javaDatatype.....
sqoop import
.......
........
--map-column-java columnNameforSDO_GEOMETRY=String
As your column name is Shape
--map-column-java Shape=String
Sqoop import to HDFS
Sqoop does not support all of the RDBMS datatypes.
If a particular datatype is not supported, you will get error like:
No Java type for SQL type .....
Solution
Add --map-column-java in your sqoop command.
Syntax: --map-column-java col-name=java-type,...
For example, --map-column-java col1=String,col2=String
Sqoop import to HIVE
You need same --map-column-java mentioned above.
By default, sqoop supports these JDBC types and convert them in the corresponding hive types:
INTEGER
SMALLINT
VARCHAR
CHAR
LONGVARCHAR
NVARCHAR
NCHAR
LONGNVARCHAR
DATE
TIME
TIMESTAMP
CLOB
NUMERIC
DECIMAL
FLOAT
DOUBLE
REAL
BIT
BOOLEAN
TINYINT
BIGINT
If your datatype is not in this list, you get error like:
Hive does not support the SQL type for .....
Solution
You need to add --map-column-hive in your sqoop import command.
Syntax: --map-column-hive col-name=hive-type,...
For example, --map-column-hive col1=string,col2='varchar(100)'
Add --map-column-java SE_XAO_CAD_DATA=String,SHAPE=String --map-column-hive SE_XAO_CAD_DATA=BINARY,SHAPE=STRING in your command.
Don't use multiple --map-column-java and --map-column-hive.
For importing SDO GEOMETRY from Oracle to HIVE through SQOOP,
use the SQOOP free form query option along with Oracle's SDO_UTIL.TO_GEOJSON, SDO_UTIL.TO_WKTGEOMETRY functions.
The SQOOP --query option allows us to add a SELECT SQL QUERY so that we can get the required data only from the table. And, in the SQL query we can include SDO_UTIL package functions like TO_GEOJSON and TO_WKTGEOMETRY. It looks something like,
sqoop import \
...
--query 'SELECT ID, NAME, \
SDO_UTIL.TO_GEOJSON(MYSHAPECOLUMN), \
SDO_UTIL.TO_WKTGEOMETRY(MYSHAPECOLUMN) \
FROM MYTABLE WHERE $CONDITIONS' \
...
This returns the SDO GEOMETRY as Geojson and WKT formats as per the definitions of functions and can directly be inserted into respective HIVE STRING-type columns without any other type mapping in the SQOOP command.
Choose the Geojson and WKT as per requirement and this approach also can be extended to other spatial functions available.
I have been using sqoop to import data from mysql to hive, the command I used are below:
sqoop import --connect jdbc:mysql://localhost:3306/datasync \
--username root --password 654321 \
--query 'SELECT id,name FROM test WHERE $CONDITIONS' --split-by id \
--hive-import --hive-database default --hive-table a \
--target-dir /tmp/yfr --as-parquetfile
The Hive table is created and the data is inserted, however I can not find the parquet file.
Does anyone know?
Best regards,
Feiran
Sqoop import to hive works in 2 steps:
Fetching data from RDBMS to HDFS
Create hive table if not exists and Load data into hive table
In your case,
firstly, data is stored at --target-dir i.e. /tmp/yfr
Then, it is loaded into Hive table a using
LOAD DATA INPTH ... INTO TABLE..
command.
As mentioned in the comments, data is moved to hive warehouse directory that's why there is no data in --target-dir.
I have successfully installed SQOOP now the problem is that how to implement it with RDBMS and how to load data from RDBMS to HDFS using SQOOP.
By Using Sqoop You can Load Data directly to Hive Tables or Store the data in Some target Directory in HDFS
If you Need to copy data from RDBMS into Some directory
sqoop import
--connect ConnectionString
--username username
--password Your_Database_Password {In case no password Do not Specify it}
--table tableName
--col column_name(s) {In case you need to call specific columns}
--target-dir '/tmp/myfolder'
--boundary-query 'Select min,max from table name'
--m 5 {set number of mappers to 5}
--fields-terminated-by ',' {how do you want your data to look in target file}
Boundary Query : This is something you can specify. If you do not specify this , then by default this is run in as an inner query which adds up to a complex query.
If you specify this explicitly then this runs as a normal query and hence the performance is increased.
Also you may want to restrict the number of observation ,say based on column ID, and suppose you need data from ID 1 to 1000. Then using Boundary condition and split-by you will be able to restrict your import data.
--boundary-query "select 0,1000 from employee'
--split-by ID
Split-By : You use Split by on a Sqoop import to specify the column on basis of which split is required. By default,if you do not specify this, sqoop pics up table's primary key as the Split_by column.
Split By picks up data from tables and stores them in different folders based on number of mappers. By Default Number of Mappers are 4.
This may seem unwanted but in case you have a composite primary key or no primary key at all, then sqoop fails to pick up data and may error out.
Note: You may not face any issue if you set the number of mappers to 1. In this case, no split by condition is used since there is only one mapper. So query runs fine. This can be done using
--m 1
If you Need to copy data from RDBMS into Hive Table
sqoop import
--connect ConnectionString
--username username
--password Your_Database_Password {In case no password Do not Specify it}
--table tableName
--boundary-query 'Select min,max from table name'
--m 5 {set number of mappers to 5}
--hive-import
--hive-table serviceorderdb.productinfo
--m 1
Running a query instead of calling entire table itself
sqoop import
--connect ConnectionString
--username username
--password Your_Database_Password
--query 'select name from employees where name like '%s' and $CONDITIONS'
--m 5 {set number of mappers to 5}
--target-dir '/tmp/myfolder'
--fields-terminated-by ',' {how do you want your data to look in target file}
You may see $conditions as extra parameter $CONDITIONS. This is because this time you specified no table and specified a query explicity. When Sqoop runs, it searches for a boundary conditions, which it does not find. Then It Searches for a table and a primary key for applying boundary query which again it will not find. Hence we use $CONDITIONS to explicitly specify that we are not using a query and use default boundry condition from query result.
Checking if your connection is set up properly : For this you can just call list databases and if the you see your data populated then your connection is fine.
$ sqoop list-databases
--connect jdbc:mysql://localhost/
--username root
--password pwd
Connection String for Different Databases :
MYSQL: jdbc:mysql://<hostname>:<port>/<dbname>
jdbc:mysql://127.0.0.1:3306/test_database
Oracle :#//host_name:port_number/service_name
jdbc:oracle:thin:scott/tiger#//myhost:1521/myservicename
You may learn more about sqoop imports from : https://sqoop.apache.org/docs/1.4.1-incubating/SqoopUserGuide.html
By using sqoop import command you can import data from RDBMS to HDFS, Hive and HBase
sqoop import --connect jdbc:mysql://localhost:portnumber/DBName --username root --table emp --password root -m1
By using this command data will be stored in HDFS.
Sample commands to run sqoop import (load data from RDBMS to HDFS):
Postgres
sqoop import --connect jdbc:postgresql://postgresHost/databaseName
--username username --password 123 --table tableName
MySQL
sqoop import --connect jdbc:mysql://mysqlHost/databaseName --username username --password 123 --table tableName
Oracle*
sqoop import --connect jdbc:oracle:thin:#oracleHost:1521/databaseName --username USERNAME --password 123 --table TABLENAME
SQL Server
sqoop import --connect 'jdbc:sqlserver://sqlserverhost:1433;database=dbname;username=<username>;password=<password>' --table tableName
*Sqoop won't find any columns from a table if you don't specify both the username and the table in correct case. Usually, specifying both in uppercase will resolve the issue.
Read the Sqoop User's Guide: https://sqoop.apache.org/docs/1.4.5/SqoopUserGuide.html
I also recommend the Apache Sqoop Cookbook. You will learn how to use import and export tools, do incremental import jobs, save jobs, solve problems with jdbc drivers and much more. http://shop.oreilly.com/product/0636920029519.do
I am trying something on hadoop and its related things. For this, I have configured hadoop, hase, hive, sqoop in Ubuntu machine.
raghu#system4:~/sqoop$ bin/sqoop-import --connect jdbc:mysql://localhost:3306/mysql --username root --password password --table user --hive-import -m 1
All goes fine, but when I enter hive command line and execute show tables, there are nothing. I am able to see that these tables are created in HDFS.
I have seen some options in Sqoop import - it can import to Hive/HDFS/HBase.
When importing into Hive, it is indeed importing directly into HDFS. Then why Hive?
Where can I execute HiveQL to check the data.
From cloudera Support, I understood that I can Hue and check it. But, I think Hue is just an user interface to Hive.
Could someone help me here.
Thanks in advance,
Raghu
I was having the same issue. I was able to work around/through it by importing the data directly into HDFS and then create an External Hive table to point at that specific location in HDFS. Here is an example that works for me.
create external table test (
sequencenumber int,
recordkey int,
linenumber int,
type string)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\054'
location '/user/hdfs/testdata';
You will need to change your location to where you saved the data in HDFS.
Can you post the output from sqoop? Try using --verbose option.
Here's an example of the command I use, and it does import directly to a Hive table.
sqoop import --hive-overwrite --hive-drop-import-delims --warehouse-dir "/warehouse" --hive-table hive_users --connect jdbc:mysql://$MYSQL_HOST/$DATABASE_NAME --table users --username $MYSQL_USER --password $MYSQL_PASS --hive-import
when we are not giving any database in the sqoop import command,the table will be created in the default database with the same name of the RDBMS table name.
you can specify the database name where you want to import the the RDBMS table in hive by "--hive-database".
Instead of creating the Hive table every time, you can import the table structure in the hive using the create-hive-table command of sqoop. It will import the table as managed_table then you can convert that table to external table by changing the table properties to external table and then add partition. This will reduce the effort of finding the right data type. Please note that there will be precision change
Whenever ,you are using a Sqoop with Hive import option,the sqoop connects directly the corresponding the database's metastore and gets the corresponding table 's metadata(the table's schema),so there is no need to create a table structure in Hive.This schema is then provided to the Hive when used with Hive-import option.
So the output of all the sqoop data on HDFS will by default stored in the default directory .i.e /user/sqoop/tablename/part-m files
with hive import option,the tables will be downloaded directly into the default warehouse direcotry i.e.
/user/hive/warehouse/tablename
command : sudo -u hdfs hadoop fs -ls -R /user/
this lists recursively all the files with in the user.
Now go to Hive and type show databases.if there is only default database,
then type show tables:
remember OK is common default system output and is not part of the command output.
hive> show databases;
OK
default
Time taken: 0.172 seconds
hive> show tables;
OK
genre
log_apache
movie
moviegenre
movierating
occupation
user
Time taken: 0.111 seconds
Try sqoop command like this, its working for me and directly creating hive table, u need not create external table every time
sqoop import --connect DB_HOST --username ***** --password ***** --query "select *from SCHEMA.TABLE where \$CONDITIONS"
--num-mappers 5 --split-by PRIMARY_KEY --hive-import --hive-table HIVE_DB.HIVE_TABLE_NAME --target-dir SOME_DIR_NAME;
The command you are using imports data into the $HIVE_HOME directory. If the HIVE_HOME environment variable is not set or points to a wrong directory, you will not be able to see imported tables.
The best way to find the hive home directory is to use the Hive QL SET command:
hive -S -e 'SET' | grep warehouse.dir
Once you retrieved the hive home directory, append the --hive-home <hive-home-dir>option to your command.
Another possible reason is that in some Hive setups the metadata is cached and you cannot see the changes immediately. In this case you need to flush the metadata cache, using the INVALIDATE METADATA;command.