Oracle为了解决性能问题,提出了shared server的概念,类似数据库端的backend process pool,一个process可能服务于多个client。 PostgreSQL也可以如法炮制,比如阿里云RDS PG内核层面增加了内置的POOL。在高并发的情况下,性能好很多。 测试CASE 1、测试64 ~ 16384个并发 2、测试TPC-B,包含5亿数据量。 3、测试logged tabl...
var pool = try pg.Pool.init(allocator, .{ .size = 5, .connect = .{ .port = 5432, .host = "127.0.0.1", }, .auth = .{ .username = "postgres", .database = "postgres", .password = "root_pw", .timeout = 10_000, } }); defer pool.deinit(); var result = try pool.quer...
If query throws error, then client not returning to connection pool. Example: const pool = new pg.Pool({ max: 1 }) try { await pool.query(`invalid sql`) } catch (e) { console.log(e) } await pool.query('Another query') // Never ends 👍 1 bobbysmith007 added a commit to ...
Oracle为了解决性能问题,提出了shared server的概念,类似数据库端的backend process pool,一个process可能服务于多个client。 PostgreSQL也可以如法炮制,比如阿里云RDS PG内核层面增加了内置的POOL。在高并发的情况下,性能好很多。 测试CASE 1、测试64 ~ 16384个并发 2、测试TPC-B,包含5亿数据量。 3、测试logged tabl...
pg 8.13.1•Public• Published3 months ago node-postgres Non-blocking PostgreSQL client for Node.js. Pure JavaScript and optional native libpq bindings. Install $ npm install pg ⭐Documentation⭐ Features Pure JavaScript client and native libpq bindings sharethe same API ...
有很多原因数据库需要扩展性。1、请求需要访问的数据量过大(单纯的数据量大不是理由,例如从不访问,归档即可);2、服务器CPU、内存、网络、IO到了瓶颈,响应时间大大下降;3、MPP中,集中式数据库在设计时通常为了开发人员使用更加顺畅和丝滑,尽可能的让数据库设计和SQL非常简单,比如不需要指定某些表实际上是存在主外...
Oracle为了解决性能问题,提出了shared server的概念,类似数据库端的backend process pool,一个process可能服务于多个client。 PostgreSQL也可以如法炮制,比如阿里云RDS PG内核层面增加了内置的POOL。在高并发的情况下,性能好很多。 测试CASE 1、测试64 ~ 16384个并发 ...
what is best practice of time sync between DC and client? What is commit charge? (in task manager) What is considered high Interrupts/sec and high DPC's queued/sec what is diffrence between r1 and r2 What is event source PerfNet and Perflib ? What is Paged Pool/ Non Paged Pool/ Physi...
File "/home/ma-user/anaconda/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call return fn(*args) File "/home/ma-user/anaconda/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn ...
Execute the HTTP request from any HTTP capable client or make the request via browser. Once the problem has been reproduced, we can stop the trace as follows:At the command prompt, type: Logman –stop MyTrace –ets <enter>We should now have a file called MyTrace.ETL in C:\E...