Datometry, Inc.

Amirhossein Aleyasen

Florian Michael Waas

Dmitri Korablev

Mark Morcos

Michele Gage

Some embodiments provide a method for quantifying the workload placed on a database by an application. The method identifies a first group of database queries that the application directed towards the database. The method produces a second group of queries by removing, from the first group of queries, queries that are duplicates based on the semantic structure of the queries. Based on a set of properties of the second group of queries, the method computes a complexity indicator that represents a complexity expression of the second group of queries.

Quantifying complexity of a database application

Some embodiments provide a method for quantifying complexity of database queries that reference database objects in a database. The method identifies a database query that includes a reference to a set of one or more database objects in the database. The method identifies a set of properties associated with a set of components of the identified query, and computes, from the identified set of properties, a complexity indicator that represents a complexity expression of the database query.

Quantifying complexity of a database query

Some embodiments provide a method for analyzing database queries performed on a database. The method receives log data associated with queries that were performed on the database, wherein the log data includes multiple sub-tables that each include a set of data entries. Based on the log data, the method assembles a set of queries that were performed on the database, where different queries in the set are assembled by combining different subsets of data entries from the sub-tables. The method performs a query interpretation operation on each query to quantify the impact of performing the assembled set of queries on the database.

Analysis of database query logs

Some embodiments provide a method for expressing viability of a first database as a candidate for replacing a second database. The method identifies a first group of database queries that a group of applications directed towards the second database. The method produces a second group of queries by removing, from the first group, queries that are duplicates. Based on a set of complexity values associated with a set of components of the second group of queries, the method generates a complexity indicator representing a level of difficulty for rewriting the second group of queries for the second database.

Expressing complexity of migration to a database candidate

Some embodiments provide a method for analyzing database queries performed on a database. The method receives a log that includes a set of database queries that were performed on the database. The method identifies, from the log, two or more subsets of queries that are each associated with a different connection session between the database and a set of client applications, where each subset is associated with a set of temporary session objects that are not associated with queries in the other subsets of queries. The method performs a separate query interpretation process on each subset of queries to quantify the impact of performing the queries on the database during the connection sessions, where the query interpretation processes are performed separately in order to avoid errors associated with the temporary objects.

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Urbana, IL, United States of America

Amirhossein Aleyasen