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Home 2016 February MySQL: The Important Notes and Tips of FEDERATED Storage Engine (Part 4/4)

MySQL: The Important Notes and Tips of FEDERATED Storage Engine (Part 4/4)

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This is the last part of the series on the FEDERATED Table of MySQL, so in this post, I am sharing important Notes and Tips of FEDERATED Engine.

  • The remote server must be a MySQL Server.
  • You can replicate the FEDERATED table to other slaves, but ensure that slave server is able to use defined connection string.
  • You can create nested FEDERATED tables.
  • The FEDERATED table does not support indexes because of its virtual nature.
  • The FEDERATED storage engine supports SELECT, INSERT, UPDATE, DELETE, TRUNCATE TABLE.
  • The FEDERATED also supports INSERT ON DUPLICATE KEY UPDATE statements.
  • The FEDERATED table does not support Transaction.
  • The FEDERATED table can also perform bulk-insertion.
  • Any DROP TABLE statement issued against a FEDERATED table drops only the local table, not the remote table.
  • The FEDERATED tables do not work with the query cache.

For more info, You can visit this MySQL official document.

Feb 1, 2016Anvesh Patel
MySQL: Create FEDERATED Table to SELECT data from another server (Part 3/4)MySQL: Create FEDERATED Table using CREATE SERVER
Anvesh Patel
Anvesh Patel

Database Engineer

February 1, 2016 MySQLAnvesh Patel, database, database research and development, dbrnd, FEDERATED Engine, MySQL, MySQL Command, MySQL Database Administrator, MySQL Database Designing, MySQL Database Programming, MySQL Error, MySQL Performance Tunning, MySQL Query, MySQL Tips and Tricks
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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