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ClickHouse was designed for OLAP queries. [5] ClickHouse performs well when: It works with a small number of tables that contain a large number of columns. Queries use a large number of rows extracted from the DB, but only a small subset of columns. Queries are relatively rare (usually around 100 requests per second per server).
The ! indicates cells that are header cells. In order for a table to be sortable, the first row(s) of a table need to be entirely made up out of these header cells. You can learn more about the basic table syntax by taking the Introduction to tables for source editing.
The following tables compare general and technical information for a number of online analytical processing (OLAP) servers. Please see the individual products articles for further information. Please see the individual products articles for further information.
The base data and the dimension tables are stored as relational tables and new tables are created to hold the aggregated information. It depends on a specialized schema design. This methodology relies on manipulating the data stored in the relational database to give the appearance of traditional OLAP's slicing and dicing functionality.
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The following assumes the syntax is a whole table row in one source line starting with a pipe and with double pipe between cells. It does not work with partially compressed table wikitext either (such as for tables with row headers). A table with any non-compressed wikitext can be completely compressed by pasting the table into Excel2Wiki. Do ...
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