Compression operations are only used when both the client and server support "zlib" compression and the client requests compression.
The advantage of using compression is that it reduces the size of the payload
On the other hand, using compression The disadvantage is that it increases calculating time.
The performance benefit depends largely on the size of the result set sent.
In addition to this, the network bandwidth and latency between the database server and its clients are also important. The larger the result set, the greater the latency.
In other words, the smaller the bandwidth, the more likely it is that users will see the benefits of compression.
In other words, the smaller the bandwidth, the more likely it is that users will see the benefits of compression. p>
Maximum service level is limited to the smallest bottleneck. Therefore, it is necessary to analyze the network and CPU resource conditions at the current time.
The most optimized database server will utilize 100% of its CPU 100% of the time, otherwise computing resources will be wasted if it has an idle processor.
Tables can be rebuilt by dumping and reloading them. This can be done by using "mysqldump" and creating a dump file and allowing mysql to reload the file. This can be done using the following command -
mysqldump db_name t1 > dump.sql mysql db_name < dump.sql
If the user has a big mysqldump file and they want to import it from one system to another using FTP without spending more time on it , you can use the following command to accomplish
mysqldump −u root −p database_name | gzip > dump.gz
Another method is to compress the contents of the file, but this is not the best method.
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