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sqoop import to hive

Sqoop import tool’s main function is to upload your RDBMS data into files in HDFS.

If you have a Hive metastore associated with your HDFS cluster, Sqoop can also import the data into Hive by generating and executing a CREATE TABLE statement to define the data’s layout in Hive.

Importing data into Hive is as simple as adding the --hive-import option to your Sqoop command line.

$ sqoop <<tool-name>>  \
		{generic- arguments} \ 
		{hive-arguments}

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Sqoop Tool => create-hive-table

The create-hive-table tool populates a Hive metastore with a definition for a table based on a database table previously imported to HDFS, or one planned to be imported.

$ sqoop create-hive-table (generic-args) (create-hive-table-args)
$ sqoop-create-hive-table (generic-args) (create-hive-table-args)

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Example:

$ sqoop create-hive-table \
--connect “jdbc:mysql://localhost/<<DB-Name>>” \
--username root –P \
--table << Table-Name >> \
--hive-table <<DB-Name>>.<<Table-Name>>

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Apache Sqoop => HIVE Import

If you want to move your data directly from structure data store to hive warehouse you can use –hive-import.
If table already exist in the database & you want to overwrite its content then use –hive-overwrite.
If table definition does not exists in hive warehouse then use --create-hive-table.

 
$ sqoop import \
--connect  “jdbc:mysql://localhost/classicmodels”
--username root –P \
--table employees \
--target-dir /usr/hive/warehouse/<<db-name>>.db \
--fields-terminated-by  ","  \
--hive-import \
--create-hive-table \
--hive-table <<DB-Name>>.<<Hive-table>> \

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Important points to note down on sqoop

Sqoop cannot import data into hive, if file format is set to as Avro data file {--as-avrodatafile} or Sequence file format {--as-sequencefile}.

Limitations of Hive’s input parsing abilities:

If you do use --escaped-by, --enclosed-by, or --optionally-enclosed-by when importing data into Hive, Sqoop will print a warning message.

Hive will have problems using Sqoop-imported data if your database’s rows contain string fields that have Hive’s default row delimiters (\n and \r characters) or column delimiters (\01 characters) present in them.

You can use the {--hive-drop-import-delims} option to drop those characters on import to give Hive-compatible text data.

sqoop import \
--connect jdbc:mysql://localhost/classicmodels \
--username root -P \
--table employees \
--columns <<column-name>>\
--Where "<<condition>>'" \
--create-hive-table \
--hive-import \
--hive-table employees \
--hive-partition-key “<<conditioned-column-name>>" \
--hive-partition-value "<<condition-column-value>>"

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Sqoop doesn’t support dynamic partition so you need to import mostly by using where clause or else to achieve dynamic partition you can use Hcatalog.

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sqoop import to hive

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Important points to note down on sqoop

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