Is it possible to import a file in fixed length from DB2 database using sqoop import? I have not found anything so far in sqoop documentation.
Thanks
Arani
If you are looking for importing column of a fixed length from any database you can use free form query like below
sqoop import --connect jdbc:oracle:* --username name --password pwd -e " select substr(COL1,1,4000),substr(COL2,1,4000),COL3 from TABLE_NAME where \$CONDITIONS" --target-dir /user/username/table_name --as-textfile -m 1
Related
Have executed a similar kind of sqoop command as shown below. The free form query mentioned below, I wanted to keep it in a file and run the sqoop command since my real time queries are quite complex and bigger.
Wanted to know, Is there a way to keep the query in a file and execute the sqoop command which will refer the free form query inside the file and execute?
like we do for --password-file case. Thanks in advance.
sqoop import --connect "jdbc:mysql://<localhost>:port" --username "admin" --password-file "<passwordfile>" --query "select * from employee" --split-by employee_id --target-dir "<target directory>" --incremental append --check-column employee_id --last-value 0 --fields-terminated-by "|"
The command line options that are not convenient to put in command, can be read using the Sqoop--options-file argument for convenience, hence you can read the query using the options file. Using options file the Sqoop command should be similar to this:
sqoop import --connect $connect_string --username $username --password $pwd --options-file /home/user/sqoop_poc/query.txt --target-dir $target_dir --m 1
Entry in options file should be like this:
--query
select * from TEST_OPTION where ID <= 10 AND $CONDITIONS
More details on options file are available in Sqoop User Guide.
My scenario : I will get daily 100 records in hdfs through sqoop at particular time. But, yesterday i got only 50 records for that particular time today i need to get 50+100 records in hdfs through sqoop for that particular time. Please help me. Thanks in advance.
To handle such scenario, you need to add a where condition on time. No matters, what the record count is.
You can use something like this in sqoop import command using --query parameter:
sqoop import \
--connect jdbc:mysql://localhost:3306/sqoop \
--username sqoop \
--password sqoop \
--query 'SELECT * from records
WHERE recordTime BETWEEN ('<datetime>' AND NOW()) \
--target-dir /user/hadoop/records
You need to modify the where condition as per your table schema.
Please refer Sqoop Documentation for more details.
sqoop import --connect jdbc:mysql://localhost:3306/your_mysql_databasename --username root -P --query 'SELECT * from records WHERE recordTime BETWEEN ('' AND NOW()) --target-dir /where you want to store data
and make when sqoop ask for password enter your mysql password eg.(my pwd is root)
I am trying to do sqoop job incremental import using free form query. Here's the query being used
sqoop job --create importjobinl -- import --connect jdbc:mysql://localhost/test --username training --password training --query 'select id,name,unix_timestamp(time_updated) from intest where $CONDITIONS' --target-dir /user/new/lll/`date +%d%T|sed 's/://g'` -m 1 --check-column time_updated --incremental append --last-value '1441526438'
The job is not getting created It shows.
Incremental imports require a table.
Try --help for usage instructions.
It works when I use --table intest instead of --query, but I want to use --query to convert date to epochtime using unix_timestamp since the value in mysql table intest is in yyyy-mm-dd format
Version used :Sqoop 1.2.0-cdh3u0
Sqoop incremental imports for free form queries was added from Sqoop 1.4.2
JIRA link : Sqoop Incremental import Support for free form queries
Since you are using Sqoop 1.2.0, this feature might not be available for you to use
Do an initial pull using sqoop.
Make sure the date format of your column is in YYYY-MM-DD HH:MM:SS if you are using the last modified column as date.
Run below statement for incremental load to your hive table which includes free from query.
sqoop import --connect jdbc:mysql://localhost/test --username training --password training --query "select * from intest where $CONDITIONS" --hive-import --hive-table db_name_x.table_name_x --incremental lastmodified -check-column date_x --target-dir /user/xyz -m 1
I am trying to append data to already existing Table in hive.Using the Following command first i import the table from MS-SQL Server to hive.
Sqoop Command:
sqoop import --connect "jdbc:sqlserver://XXX.XX.XX.XX;databaseName=mydatabase" --table "my_table" --where "Batch_Id > 100" --username myuser --password mypassword --hive-import
Now i want to append the data to same existing table in hive where "Batch_Id < 100"
I am using the following Command:
sqoop import --connect "jdbc:sqlserver://XXX.XX.XX.XX;databaseName=mydatabase" --table "my_table" --where "Batch_Id < 100" --username myuser --password mypassword --append --hive-table my_table
This command however runs successfully also updates the HDFS data, but when u connect to hive shell and query the table, the records which are appended are not visible.
Sqoop updated the Data on hdfs "/user/hduser/my_table" but the data on "/user/hive/warehouse/batch_dim" is not updated.
How can reslove this issue.
Regards,
Bhagwant Bhobe
Try using
sqoop import --connect "jdbc:sqlserver://XXX.XX.XX.XX;databaseName=mydatabase"
--table "my_table" --where "Batch_Id < 100"
--username myuser --password mypassword
--hive-import --hive-table my_table
when you are using --hive-import DO NOT use --append parameter.
The Sqoop command you're using (--import) is only for ingesting records into HDFS. You need to use the --hive-import flag to import records into Hive.
See http://sqoop.apache.org/docs/1.4.2/SqoopUserGuide.html#_importing_data_into_hive for more details and for additional import configuration options (you may want to change the document reference to your version of Sqoop, of course).
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