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The framework consists of three main components: a code generator, QForms [2] (OOP generated stateful Ajax- or server-processed webform), QQuery (OOP based SQL query builder) -- all of which can be used independently of each other.
Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...
Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.
SQL script, CSV, TSV or the above in zip (as a plugin); imports of server-site file in SQL or SQL in zip, gzip or bzip2: SQL script, CSV, TSV or the above in zip, gzip, bzip2; XML (as a plugin) No Git: Altova DatabaseSpy: No No Yes CSV, XML XML, XML Structure, CSV, HTML, MS Excel No ? Database Workbench: Yes No Yes Yes Yes Yes Yes [15] DataGrip ...
In other databases, alternatives to express the same query (other queries that return the same results) can be tried. Some query tools can generate embedded hints in the query, for use by the optimizer. Some databases - like Oracle - provide a plan table for query tuning. This plan table will return the cost and time for executing a query.
While being a physical-modeling only tool DBDesigner4 offers a comprehensive feature set including reverse engineering of MySQL databases, model-to-database synchronization, model poster printing, basic version control of schema models and a SQL query builder. [6] It is available for MS Windows, Mac OS X and Linux. [7]
The goal of optimization is to generate the set of query plans that can be optimal for each possible combination of parameter values and user preferences. A number of tools display query execution plans to show which operations have the highest processing cost. Microsoft SMS, ApexSQLPlan, Hana, and Tableau are some examples.
In computing, online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [ 2 ]