Supported connections

Cloudera Data Visualization supports several analytic functions that examine overlapping groupings of data.

Analytic functions are similar to aggregate functions because both use the contents of multiple data input rows to calculate the result. Analytic functions use flexible conditions that are specified by the OVER(...) clause to order and group input so that specific rows may be part of the calculation for several output values.

Syntax for analytic functions is slightly different depending on the type of data connection used.

Supported Data Connections include the following:

Impala
Hive
PostgreSQL
SparkSQL
RedShift

The Analytic Functions field properties are not available on MariaDB, MySQL, non-Oracle SQLite, Apache Drill, and Apache Solr connections.

note

Syntax for analytic functions is slightly different depending on the type of data connection used. Analytic functions are not available for connections to MySQL, SQLite, Drill, MS Sql Server, Teradata, Solr, KSql, and MariaDB.
In the query execution order, analytic functions follow the WHERE and GROUP BY clauses. Therefore, the function excludes the rows that are filtered out by these mechanisms, and they never become part of the analytic function data subset.
When using both analytic functions and ordering, the available ordering options include all fields that are on the shelves, less the fields that are on the Filters shelf. To sort a visual on the results of an analytic functions, place the field used in the analytic function onto the Tooltips shelf. For more information, see Customizing order and top K.
Use the Customizing enter/edit expressions option for running analytic functions that are not automated within Cloudera Data Visualization.