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Monitoring metrics
This article provides a list of data source monitoring metrics and descriptions.
Metric | Description |
---|---|
upsolver.data_source_failed-items | Data source parse errors |
upsolver.data_source_handled-bytes | Number of bytes handled by the data source |
upsolver.data_source_handled-items | The number of items (records) handled by the data source |
upsolver.data_source.ingest_delay | Data source ingestion delay |
upsolver.data_source.parse_delay | Data source parse delay |
upsolver.data_source.parse_min-delay | Data source minimum delay. This can be used as a filter for the delay metric |
upsolver.data_source.errors_errors | Errors encountered when ingesting data |
upsolver.binlog-delay | Read delay from the binlog of the database for CDC inputs |
Metric | Description |
---|---|
upsolver.materialized_view_estimated_rows | Number of rows currently in the lookup table (available if the lookup table runs on a query cluster) |
upsolver.materialized_view.delay_delay | Lookup table delay |
upsolver.materialized_view.query_hits | The number of queries that resulted in a lookup table hit (available if the lookup table runs on a query cluster) |
upsolver.materialized_view.query_misses | The number of queries that resulted in a lookup table miss (available if the lookup table runs on a query cluster) |
upsolver.materialized_view.query_queries | Number of queries sent to the lookup table (available if the lookup table runs on a query cluster) |
upsolver.materialized_view.errors_errors | Errors encountered while running the lookup table |
Metric | Description |
---|---|
upsolver.output_handled-bytes | Number of bytes handled by the output |
upsolver.output_handled-items | Number of items (records) handled by the data source |
upsolver.output_written-items | Number of items written to the output destination |
upsolver.output_written-bytes | The number of bytes written to the output destination |
upsolver.output.delay_delay | Output delay |
upsolver.output.delay_min-delay | Output minimum delay. This can be used as a filter for the delay metric |
upsolver.output.errors_errors | Errors encountered when outputting data |
upsolver.output.data-transformation_handled-items | Number of items (records) handled during output processing (only relevant to database and stream outputs) |
upsolver.output.data-transformation_handled-bytes | Number of bytes handled during output processing (only relevant to database and stream outputs) |
upsolver.output.data-transformation-delay_delay | Delay during output processing (only relevant to database and stream outputs) |
upsolver.output.hive.partition_manager_last-success-diff | The amount of time passed since the last successful execution of the partition manager in Athena/Qubole/Redshift Spectrum outputs |
upsolver.output.hive.partition_manager_partitions-count | The number of partitions in the table (for Athena/Qubole/Redshift Spectrum outputs) |
upsolver.output.hive.partition_manager_partitions-delay | When using PARTITION_TIME, this metric calculates the delay between now and the latest partition time (for Athena/Qubole/Redshift Spectrum outputs) |
upsolver.output.hive.partition_manager_data-loading-delay | When creating partitions, this metric shows the delay of the data loading used to calculate the partitions (for Athena/Qubole/Redshift Spectrum outputs) |
upsolver.output.hive.partition_manager_wal-size | When using Upserts, this shows the number of rows in the WAL (Write Ahead Log) partition (for Athena/Qubole/Redshift Spectrum outputs) |
upsolver.output.hive.partition_manager_wal-files-count | When using Upserts, this shows the number of files in the WAL (Write Ahead Log) partition (for Athena/Qubole/Redshift Spectrum outputs) |
upsolver.output.hive.partition_manager_compaction-delay | Shows the delay of the compaction process of Data Lake outputs (Athena/Spectrum/etc). Delayed compactions affect query speeds but they do not affect data freshness. |
Metric | Description |
---|---|
upsolver.upsolver_compute_units_value | The amount of Upsolver compute units used in a cluster |
upsolver.environment_utilization_value | The average CPU load of all the servers in a cluster |
upsolver.memory_memory | Memory usage per server |
Last modified 19d ago