Graph Logging Perspective

Icon: graph logging

Description

The Graph logging perspective (previously Neo4j perspective) provides a view on and allows you to query Hop execution history from a graph database: Neo4j, Memgraph, Amazon Neptune, FalkorDB or Apache AGE.

The perspective shows the value of HOP_GRAPH_LOGGING_CONNECTION (used to log executions to a graph database; NEO4J_LOGGING_CONNECTION works as well), allows to select a workflow or pipeline to display logging for (optionally, specify the number of executions and only show root executions).

For the selected workflow or pipeline, or all executions if none selected), the id, name, type, number of rows read, written, input, output and rejected, the number of error rows and the execution date and duration are shown.

In the bottom half of the perspective dialog, the logging text, path to errors and a number of useful cypher queries are shown.

Selecting an execution and clicking Open takes you to the pipeline or workflow behind it, with the failing transform or action selected.

This perspective only shows executions written by the execution logging in HOP_GRAPH_LOGGING_CONNECTION. Executions written by a graph database execution information location are stored with a different set of properties and do not appear here: they are shown in the Execution Information perspective, which gains extra Lineage, Error path and Cypher tabs when the location is a Neo4j one. Both write Execution nodes and EXECUTES relationships, so point them at separate databases if you use both.

While fully functional we recommend you use the graph database execution information location plugin.