PostgreSQL 被称为 “最具吞噬力的数据库” 或 “数据库领域的瑞士军刀”,这种说法源于其独特的开源生态、持续进化的技术能力和广泛的应用场景。 我们可以从以下几个角度理解这一观点: 技术包容性:吞噬多种数据模型 关系型+NoSQL融合:支持 JSONB(二进制 JSON)、XML、HStore 等非结构化数据类型,实现文档存储能力(...
tuples: 31 removed, 1000 remain, 0 are dead butnotyet removable, oldest xmin: 4040 buffer usage: 78 hits, 0 misses, 0 dirtied avgreadrate: 0.000 MB/s,avgwrite rate: 0.000 MB/s system usage: CPU:user: 0.00 s, system: 0.00 s, elapsed: 0.00 s 2019-05-21 11:59:55.676 MSK [973...
DB [{#DBNAME}]: Blocks hit per second Total number of times per second disk blocks were found already in the buffer cache, so that a read was not necessary. Dependent item pgsql.dbstat.blks_hit.rate["{#DBNAME}"] Preprocessing JSON Path: $.blks_hit Change per second DB [{#DBNAME}]...
=>CREATEVIEWneed_vacuumASSELECTst.schemaname||'.'||st.relname tablename,st.n_dead_tup dead_tup,get_value('autovacuum_vacuum_threshold',c.reloptions,c.relkind)+get_value('autovacuum_vacuum_scale_factor',c.reloptions,c.relkind)*c.reltuples max_dead_tup,st.last_autovacuumFROMpg_stat_all_...
包括 shard buffer 与 page cache 平均每秒的读取请求数 平均每秒的写入请求数 一个请求周期内的所有 SQL 语句执行的命中率 一次统计周期内所有 SQL 语句的平均执行时延 平均每秒的总请求数 版权所有:腾讯云计算(北京)有限责任公司 第27 共32页 TDSQL-C PostgreSQL 版 告警配置 最近更新时间:2023-08-09 11:35...
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The primary purpose for the above thresholds is to trigger autovacuum workers way before the actual storage or multixact ID limit is hit. Let’s now understand the impact ofVACUUM FREEZEto see what actions can be taken manually, along with autovacuum doing its job on busier tables....
Some statistics for "dirty" buffers. Require pg_buffercache extensions. Columns: relation - object name and schema which object belongs; relkind - object type (r = ordinary table, i = index, S = sequence, v = view, c = composite type, t = TOAST table); ...
wal_decode_buffer_size 15, 16, 17 用于在恢复期间在 WAL 中提前读取的缓冲区大小。 预写日志/恢复目标 展开表 名称版本说明 recovery_target 12, 13, 14, 15, 16, 17 设置为“immediate”以便在达到一致状态后立即结束恢复。 recovery_target_action 12, 13, 14, 15, 16, 17 设置在达到恢复目标时要...
Simple LRU buffer activity Monitoring the eviction and read activity of MultiXact buffers from the Simple LRU (SLRU) can help identify performance bottlenecks. Starting with PostgreSQL 13, themonitoring view pg_stat_slruwas introduced. This view provides insights into the number of reads, wr...