Data Processing Language (DPL)

Teragrep’s Data Processing Language (DPL) is selected by entering %dpl on the paragraph’s code editor.

Archive Access

DPL automatically connects to the Teragrep Archive without any extra configuration.

You can make data searches by using different kinds of criteria with DPL. Read more here.

Pivot Tables

You can create pivot tables with chart, stats and timechart transform functions by using aggregations with them.

Read more here about how to use the pivot table.

Data output

DPL produces the data into a Spark Query named after the paragraph’s unique identifier. (You can see each paragraph’s identifier from the Paragraph Settings menu.) This output can then be processed with other interpreters that belong to the same interpreter group.