Sqoop Architecture Explained | Sqoop Architecture in Hadoop

Sqoop Architecture Explained & Sqoop Architecture in Hadoop Step By Step

Basically, a tool which imports individual tables from RDBMS to HDFS is what we call Sqoop import tool. However, in HDFS we treat each row in a table as a record. Moreover, our main task gets divided into subtasks, while we submit Sqoop command. However, map task individually handles it internally. On defining map task, it is the subtask that imports part of data to the Hadoop Ecosystem. Likewise, we can say all map tasks import the whole data collectively. However, Export also works in the same way. A tool which exports a set of files from HDFS back to an RDBMS is a Sqoop Export tool. Moreover, there are files which behave as input to Sqoop which also contain records. Those files what we call as rows in the table. Moreover, the job is mapped into map tasks, while we submit our job, that brings the chunk of data from HDFS. Then we export these chunks to a structured data destination. Likewise, we receive the whole data at the destination by combining all these exported chunks of data. However, in most of the cases, it is an RDBMS (MYSQL/Oracle/SQL Server). In addition, in case of aggregations, we require reducing phase. However, Sqoop does not perform any aggregations it just imports and exports the data. Also, on the basis of the number defined by the user, map job launch multiple mappers. In addition, each mapper task will be assigned with a part of data to be imported for Sqoop import. Also, to get high-performance Sqoop distributes the input data among the mappers equally. Afterwards, by using JDBC each mapper creates the connection with the database. Also fetches the part of data assigned by Sqoop. Moreover, it writes it into HDFS or Hive or HBase on the basis of arguments provided in the CLI. As a result, we have seen the complete Sqoop Architecture and its working. Still, if you feel to ask any query, feel free to ask in the comment section. ... https://www.youtube.com/watch?v=pNF_BiXCrEQ