| CPC G06F 16/24539 (2019.01) [G06F 16/221 (2019.01); G06F 16/2282 (2019.01); G06N 20/00 (2019.01)] | 20 Claims |
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1. A system for optimizing indexes for accessing database tables and, the system comprising:
one or more processors; and
a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to:
train a machine-learning model to determine counts of instances of a plurality of column values that are specified, respectively, for corresponding columns by any database operation on a database table and to determine an associated threshold for the plurality of column values for their corresponding columns, in response to executing a set of database operations;
identify each column value that is associated with a determined count satisfying an associated threshold as a corresponding frequently accessed column value;
create an index for each column of the database table that stores any frequently accessed column value;
insert each frequently accessed column value, stored in the columns of the database table, into a corresponding index that was created for a corresponding column, of the database table, which stores any frequently accessed column value;
determine whether the corresponding created index matches a specific column and stores any frequently accessed column value that matches a specific column value, in response to receiving a database operation that specifies the specific column value for the specific column in the database table; and
access a record, which is associated with the specific column and the specific column value, via the database table by referencing a matching frequently accessed column value in a matching created index, in response to a determination that the corresponding created index matches the specific column and stores any frequently accessed column value that matches the specific column value.
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