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Sqoop
- Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.
- It supports incremental loads of a single table or a free form SQL query as well as saved jobs which can be run multiple times to import updates made to a database since the last import.
- Using Sqoop, Data can be moved into HDFS/hive/hbase from MySQL/ PostgreSQL/Oracle/SQL Server/DB2 and vise versa.
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Sqoop Working
Step 1:
- Sqoop send the request to Relational DB to send the return the metadata information about the table(Metadata here is the data about the table in relational DB).
Step 2:
- From the received information it will generate the java classes (Reason why you should have Java configured before get it working-Sqoop internally uses JDBC API to generate data).
Step 3:
- Now Sqoop (As its written in java tries to package the compiled classes to be able to generate table structure) , post compiling creates jar file(Java packaging standard).
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WHAT SQOOP DOES
- Apache Sqoop does the following to integrate bulk data movement between Hadoop and structured datastores:
| Function | Benefit |
|---|---|
| Import sequential datasets from mainframe | Satisfies the growing need to move data from mainframe |
| Import direct to ORCFiles | Improved compression and light-weight indexing for improved |
| Data imports | Moves certain data from external stores and EDWs into Hadoop to optimize cost-effectiveness of combined data storage and processing |
| Parallel data transfer | For faster performance and optimal system utilization |
| Fast data copies | From external systems into Hadoop |
| Efficient data analysis | Improves efficiency of data analysis by combining structured data with unstructured data in a schema-on-read data lake |
| Load balancing | Mitigates excessive storage and processing loads to other |
- YARN coordinates data ingest from Apache Sqoop and other services that deliver data into the Enterprise Hadoop cluster.
