i have a table CDR which contains 25 crore data and generally it contains 5 million records on daily basis then ho we opt for best strategy to handle the cdr.
what should be the backup plan
what should be the table optimization
what should be best strategy which is used for data migration and data filtration
give complete analaysis as DBA.
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Tuhin PaulPosted Mar 21, 2023, 5:41 PM
Partitioning a large table into smaller, more manageable chunks can improve performance and simplify maintenance. You can partition the CDR table by date range, for example, so that each partition contains the data for a specific time period (e.g. a month). This allows for faster query execution because the database engine only needs to scan the relevant partitions. Proper indexing of the CDR table can improve query performance. Identify the most frequently used columns in your queries and create indexes for them. However, be careful not to create too many indexes, as this can slow down inserts and updates. Archiving old data to a separate table or database can help keep the CDR table size manageable. Consider archiving data that is no longer needed for day-to-day operations but still needs to be retained for compliance or reporting purposes.
Tuhin PaulPosted Mar 21, 2023, 5:40 PM
Choose the appropriate storage engine for your table. InnoDB is generally recommended for tables with large amounts of data, as it provides better performance for queries and updates. Regularly analyze and optimize the table's structure to ensure it is efficient and well-designed.Use data compression to reduce the amount of disk space required to store the table's data. Use appropriate data types for columns to ensure efficient storage and processing. Monitor and tune the database server's memory and CPU usage to ensure optimal performance.