SqlDataFrame in Expression Language: Difference between revisions

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||Head (SqlDataFrame)
||Head (SqlDataFrame)
||Number of top rows
||Number of top rows
||Same functionality as in the [[DataFrame_in_Expression_Language|DataFrame]].
|-
||IncludeOnlyValues (SqlDataFrame)
||
# Column name (string)
# Value (single item) or values (array) to include
||Same functionality as in the [[DataFrame_in_Expression_Language|DataFrame]].
||Same functionality as in the [[DataFrame_in_Expression_Language|DataFrame]].
|}
|}

Revision as of 09:39, 5 May 2021

SqlDataFrame represents tabular data similar to a result of an SQL query. Data in the SqlDataFrames are processed in the original datasource where the data is located (not in the QPR ProcessAnalyzer server in-memory). For each SqlDataFrame, there is an SQL query that processes and generates the actual data in the datasource.

Running SqlDataFrames and operations between them don't yet execute the SQL in the original datasource. This happens when the Collect function is called for an SqlDataFrame, which executes the SQL query of the SqlDataFrames and loads the data into QPR ProcessAnalyzer server in-memory dataframe (where it can be presented in a dashboard).

Each SqlDataFrames knows the datasource where the SQL query is executed.

There is a similar API for the SqlDataFrames as there is for the DataFrames.

SqlDataFrame functions Parameters Description
Head (SqlDataFrame) Number of top rows Same functionality as in the DataFrame.
IncludeOnlyValues (SqlDataFrame)
  1. Column name (string)
  2. Value (single item) or values (array) to include
Same functionality as in the DataFrame.