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Home 2017 January MySQL: The ARCHIVE Storage Engine, store large amounts of unindexed DATA

MySQL: The ARCHIVE Storage Engine, store large amounts of unindexed DATA

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MySQL also supported ARCHIVE Storage Engine which is basically used for storing large amounts of unindexed DATA.
It does not support any type of Indexes, Foreign keys, Concurrency Control and Transactions.

The performance of ARCHIVE Storage Engine is excellent for storing and supporting billions of data.
For any RDBMS system, Bulk Insertion and other Bulk Operations are common.
To increase the performance of BULK Operation, DBA can disable the indexes, can remove the constraints, can compress the table.

But this all are the default settings of the MySQL ARCHIVE Storage Engine.
When you create an ARCHIVE table, the server creates a table format file in the database directory.

The file begins with the table name and has an .frm extension. The storage engine creates other files, all having names beginning with the table name.
The data file has an extension of .ARZ. And .ARN file may appear during optimization operations.

The ARCHIVE engine also uses zlib lossless data compression, so rows are compressed as they are inserted.
We can use OPTIMIZE TABLE to analyze the table and pack it into a smaller format.

Create a sample table using ARCHIVE Storage Engine:

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CREATE TABLE tbl_Students
(
RNO INT NOT NULL
,StudName VARCHAR(20) NOT NULL
)ENGINE = ARCHIVE ;

Insert few sample records:

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INSERT INTO tbl_Students
VALUES
(1,'Anvesh'),(2,'Neevan')
,(3,'Jeeny'),(4,'Roy');

Check the result:

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SELECT *FROM tbl_Students;
+------+----------+
| RNO | StudName |
+------+----------+
| 1 | Anvesh |
| 2 | Neevan |
| 3 | Jeeny |
| 4 | Roy |
+------+----------+

Jan 22, 2017Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

January 22, 2017 MySQLAnvesh Patel, ARCHIVE Storage Engine, database, database research and development, dbrnd, Improve Bluk Insertion, MySQL, MySQL Command, MySQL Database Administrator, MySQL Database Designing, MySQL Database Programming, MySQL Error, MySQL Performance Tunning, MySQL Query, MySQL Tips and Tricks, Optimize bulk operation, store unindex data
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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