HPE Ezmeral Data Fabric Database Node Metrics
This section describes the available HPE Ezmeral Data Fabric Database node metrics.
The following table lists HPE Ezmeral Data Fabric Database node metrics:
| Metric Category | Name | Description |
|---|---|---|
| Throughput - RPC counts | mapr.db.append_rpcs |
The number of HPE Ezmeral Data Fabric Database append RPCs completed |
mapr.db.checkandput_rpcs
1 |
The number of HPE Ezmeral Data Fabric Database check and put RPCs completed | |
mapr.db.get_currpcs |
The number of HPE Ezmeral Data Fabric Database get RPCs in progress | |
mapr.db.get_rpcrows |
The number of get rows completed. Each get RPC can include multiple get rows. | |
mapr.db.get_rpcs |
The number of HPE Ezmeral Data Fabric Database get RPCs completed | |
mapr.db.increment_rpcs
1 |
The number of HPE Ezmeral Data Fabric Database increment RPCs completed | |
mapr.db.put_currpcs |
The number of HPE Ezmeral Data Fabric Database put RPCs in progress | |
mapr.db.put_rpcs |
The number of HPE Ezmeral Data Fabric Database put RPCs completed | |
mapr.db.scan_currpcs |
The number of HPE Ezmeral Data Fabric Database scan RPCs in progress | |
mapr.db.scan_rpcrows |
The number of scan rows completed. Each scan RPC can include multiple scan rows. | |
mapr.db.scan_rpcs |
The number of HPE Ezmeral Data Fabric Database scan RPCs completed | |
mapr.db.updateandget_rpcs |
The number of HPE Ezmeral Data Fabric Database update and get RPCs completed | |
| Throughput - Row count written | mapr.db.append_rpcrows
1 |
The number of rows written by append RPCs |
mapr.db.checkandput_rpcrows
1 |
The number of rows written by check and put RPCs | |
mapr.db.increment_rpcrows
1 |
The number of rows written by increment RPCs | |
mapr.db.put_rpcrows |
The number of rows written by put RPCs. Each HPE Ezmeral Data Fabric Database put RPC can include multiple put rows. | |
mapr.db.updateandget_rpcrows
1 |
The number of rows written by update and get RPCs | |
| Throughput - Rows returned | mapr.db.get_resprows
1 |
The number of rows returned from get RPCs |
mapr.db.scan_resprows
1 |
The number of rows returned from scan RPCs | |
| Throughput - Row count read | mapr.db.get_readrows
1 |
The number of rows read by get RPCs |
mapr.db.put_readrows
1 |
The number of rows read by put RPCs | |
mapr.db.scan_readrows
1 |
The number of rows read by scan RPCs | |
| Throughput - Bytes written | mapr.db.append_bytes
1 |
The number of bytes written by append RPCs |
mapr.db.checkandput_bytes
1 |
The number of bytes written by check and put RPCs | |
mapr.db.put_bytes |
The number of bytes written by put RPCs | |
mapr.db.increment_bytes
1 |
The number of bytes written by increment RPCs | |
mapr.db.updateandget_bytes
1 |
The number of bytes written by update and get RPCs | |
| Throughput - Bytes read | mapr.db.get_bytes
1 |
The number of bytes read by get RPCs |
mapr.db.scan_bytes
1 |
The number of bytes read by scan RPCs | |
| Value cache usage | mapr.db.valuecache_hits |
The number of HPE Ezmeral Data Fabric Database operations that utilized the HPE Ezmeral Data Fabric Database value cache |
mapr.db.valuecache_lookups |
The number of HPE Ezmeral Data Fabric Database operations that performed a lookup on the HPE Ezmeral Data Fabric Database value cache | |
mapr.db.valuecache_usedSize |
The HPE Ezmeral Data Fabric Database value cache size in MB | |
| Compactions | mapr.db.fullcompacts
1 |
The number of compactions that combine multiple HPE Ezmeral Data Fabric Database data files containing sorted data (known as spills) into a single spill file. HPE Ezmeral Data Fabric Database creates a spill file each time it flushes files containing unsorted data (known as buckets). Full compactions improve read performance because after compaction, HPE Ezmeral Data Fabric Database needs to read only the single resulting sorted spill file. But they incur I/O costs because the compaction must read, sort, and rewrite all data in the spill files. |
mapr.db.minicompacts
1 |
The number of compactions that combine multiple small data files containing sorted data (known as spills) into a single spill file. HPE Ezmeral Data Fabric Database creates a spill file each time it flushes files containing unsorted data (known as buckets). After a mini compaction, HPE Ezmeral Data Fabric Database needs to read only two spill files. |
|
mapr.db.ttlcompacts
1 |
The number of compactions that result in reclamation of disk space due to removal of stale data. You can configure the TTL for a table if it has only a default column family. See table cf edit for details. |
|
| Table flushes | mapr.db.flushes
1 |
The number of flushes that reorganize data from bucket files (unsorted data) to spill files (sorted data) when the bucket size exceeds a threshold |
mapr.db.forceflushes
1 |
The number of flushes that reorganize data from bucket files (unsorted data) to spill files (sorted data) when the in-memory bucket file cache fills up | |
| CDC - Data sent | mapr.db.cdc.sent_bytes
1 |
The number of bytes of CDC data sent |
mapr.db.cdc.sent_rows
1 |
The number of rows of CDC data sent | |
| Secondary indexes - Data sent | mapr.db.index.sent_bytes
1 |
The number of bytes sent for secondary index updates |
mapr.db.index.sent_rows
1 |
The number of rows sent for secondary index updates | |
| Replication - Data sent | mapr.db.repl.sent_bytes
1 |
The number of bytes sent to replicate data |
mapr.db.repl.sent_rows
1 |
The number of rows sent to replicate data | |
| CDC - Data pending | mapr.db.cdc.pending_bytes
1 |
The number of bytes of CDC data remaining to be sent |
mapr.db.cdc.pending_rows
1 |
The number of rows of CDC data remaining to be sent | |
| Secondary indexes - Data pending | mapr.db.index.pending_bytes
1 |
The number of bytes of secondary index data remaining to be sent |
mapr.db.index.pending_rows
1 |
The number of rows of secondary index data remaining to be sent | |
| Replication - Data pending | mapr.db.repl.pending_bytes
1 |
The number of bytes of replication data remaining to be sent |
mapr.db.repl.pending_rows
1 |
The number of rows of replication data remaining to be sent |
1 Available starting in MapR 6.1