INSTALL dbSQware

Unique in its kind, the dbSQWare software allows its users to manage all of their DBMS in a completely homogeneous manner, despite their heterogeneity.

Its installation takes place in 4 essential phases:
🔎  the definition and study of the architecture in place,
💻  the configuration and customization of dbSQWare according to the environment,
🚀  software deployment,
🤝  and finally, the passage of knowledge on its daily use.

Installing dbSQWare means choosing reliability, agility and peace of mind, through global management and vision of your databases.

TECHSHOW 2022

The TECHShow 2022 is today and it’s happening at the Aix-en-Provence Congress Center.
Michel Payan and Séverine Payan are waiting for you on the dbSQWare stand to present our multi-DBMS operating and maintenance software.
A good day in perspective, made of meetings and exchanges, multiple and varied.

Good event to all!

DBMS: Update Statistics

A statistic (on a table, a column / a set of columns or on an index) provides information on:
– the table (number of lines, average size of a line, number of blocks/page, density),
– the distribution of values ​​for the column(s) (number of distinct values, number of duplicates, existence of null values, histogram of distribution of values),
– the composition of the index (depth, number of blocks, cluster ratio).

These statistics are used by the database optimizer to study the different execution plans that can be used for a query.
The optimizer (based on costs / CBO) chooses the best execution plan (least expensive) from the data calculated from these statistics on, in particular, the number of rows and blocks of data to be shuffled at each stage of these plans (access strategies).

Statistics are essential for the proper calculation of query execution plans. It is therefore essential that they are up to date to take into account changes to the data and therefore to the indexes, columns and tables.
Thanks to update statistics, the optimizer has reliable data to choose the best performing execution plan to serve data to applications.