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refactor out postgres metrics test (#5752)
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‎tests/otel_postgres_metrics_e2e/postgres_metrics.json‎

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{
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"postgresql.backends": {
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"data_type": "Sum",
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"description": "The number of backends."
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},
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"postgresql.bgwriter.buffers.allocated": {
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"data_type": "Sum",
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"description": "Number of buffers allocated."
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},
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"postgresql.bgwriter.buffers.writes": {
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"data_type": "Sum",
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"description": "Number of buffers written."
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},
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"postgresql.bgwriter.checkpoint.count": {
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"data_type": "Sum",
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"description": "The number of checkpoints performed."
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},
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"postgresql.bgwriter.duration": {
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"data_type": "Sum",
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"description": "Total time spent writing and syncing files to disk by checkpoints."
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},
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"postgresql.bgwriter.maxwritten": {
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"data_type": "Sum",
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"description": "Number of times the background writer stopped a cleaning scan because it had written too many buffers."
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},
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"postgresql.blks_hit": {
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"data_type": "Sum",
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"description": "Number of times disk blocks were found already in the buffer cache."
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},
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"postgresql.blks_read": {
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"data_type": "Sum",
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"description": "Number of disk blocks read in this database."
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},
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"postgresql.blocks_read": {
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"data_type": "Sum",
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"description": "The number of blocks read"
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},
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"postgresql.commits": {
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"data_type": "Sum",
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"description": "The number of commits."
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},
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"postgresql.connection.max": {
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"data_type": "Gauge",
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"description": "Configured maximum number of client connections allowed"
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},
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"postgresql.database.count": {
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"data_type": "Sum",
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"description": "Number of user databases."
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},
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"postgresql.database.locks": {
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"data_type": "Gauge",
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"description": "The number of database locks."
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},
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"postgresql.db_size": {
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"data_type": "Sum",
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"description": "The database disk usage."
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},
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"postgresql.deadlocks": {
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"data_type": "Sum",
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"description": "The number of deadlocks."
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},
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"postgresql.function.calls": {
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"data_type": "Sum",
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"description": "The number of calls made to a function. Requires `track_functions=pl|all` in Postgres config."
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},
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"postgresql.index.scans": {
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"data_type": "Sum",
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"description": "The number of index scans on a table"
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},
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"postgresql.index.size": {
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"data_type": "Gauge",
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"description": "The size of the index on disk."
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},
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"postgresql.operations": {
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"data_type": "Sum",
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"description": "The number of db row operations"
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},
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"postgresql.replication.data_delay": {
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"data_type": "Gauge",
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"description": "The amount of data delayed in replication."
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},
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"postgresql.rollbacks": {
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"data_type": "Sum",
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"description": "The number of rollbacks."
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},
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"postgresql.rows": {
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"data_type": "Sum",
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"description": "The number of rows in the database"
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},
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"postgresql.sequential_scans": {
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"data_type": "Sum",
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"description": "The number of sequential scans"
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},
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"postgresql.table.count": {
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"data_type": "Sum",
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"description": "Number of user tables in a database."
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},
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"postgresql.table.size": {
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"data_type": "Sum",
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"description": "Disk space used by a table."
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},
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"postgresql.table.vacuum.count": {
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"data_type": "Sum",
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"description": "Number of times a table has manually been vacuumed"
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},
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"postgresql.temp.io": {
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"data_type": "Sum",
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"description": "Total amount of data written to temporary files by queries"
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},
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"postgresql.temp_files": {
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"data_type": "Sum",
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"description": "The number of temp files."
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},
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"postgresql.tup_deleted": {
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"data_type": "Sum",
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"description": "Number of rows deleted by queries in the database"
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},
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"postgresql.tup_fetched": {
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"data_type": "Sum",
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"description": "Number of rows fetched by queries in the database"
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},
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"postgresql.tup_inserted": {
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"data_type": "Sum",
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"description": "Number of rows inserted by queries in the database"
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},
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"postgresql.tup_returned": {
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"data_type": "Sum",
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"description": "Number of rows returned by queries in the database"
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},
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"postgresql.tup_updated": {
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"data_type": "Sum",
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"description": "Number of rows updated by queries in the database"
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},
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"postgresql.wal.age": {
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"data_type": "Gauge",
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"description": "Age of the oldest WAL file"
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},
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"postgresql.wal.delay": {
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"data_type": "Gauge",
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"description": "Time between flushing recent WAL locally and receiving notification that the standby server has completed an operation with it."
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},
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"postgresql.wal.lag": {
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"data_type": "Gauge",
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"description": "Time between flushing recent WAL locally and receiving notification that the standby server has completed an operation with it."
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}
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}

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