bitsCN.com
Hello, I'm a Sun Solaris sys admin for a start-upcompany. I've got the UNIX background, but now I'mhaving to learn PostgreSQL to support it on ourservers :)Server Background:Solaris 10 x86PostgreSQL 8.0.3Dell PowerEdge 2650 w/4gb ram.This is running JBoss/Apache as well (I KNOW the badjuju of running it all on one box, but it's all wehave currently for this project). I'm dedicating 1gbfor PostgreSQL alone.So, far I LOVE it compared to MySQL it's solid.The only things I'm kind of confused about (and I'vebeen searching for answers on lot of good perf docs,but not too clear to me) are the following:1.) shared_buffers I see lot of reference to makingthis the size of available ram (for the DB). However,I also read to make it the size of pgdata directory.I notice when I load postgres each daemon is using theamount of shared memory (shared_buffers). Our currentdataset (pgdata) is 85mb in size. So, I'm curiousshould this size reflect the pgdata or the 'actual'memory given?I currently have this at 128mb
You generally want shared_buffers to be no more than 10% of availableram. Postgres expects the OS to do it's own caching. 128M/4G = 3% seemsreasonable to me. I would certainly never set it to 100% of ram.
2.) effective_cache_size - from what I read this isthe 'total' allowed memory for postgresql to usecorrect? So, if I am willing to allow 1GB of memoryshould I make this 1GB?
This is the effective amount of caching between the actual postgresbuffers, and the OS buffers. If you are dedicating this machine topostgres, I would set it to something like 3.5G. If it is a mixedmachine, then you have to think about it.This does not change how postgres uses RAM, it changes how postgresestimates whether an Index scan will be cheaper than a Sequential scan,based on the likelihood that the data you want will already be cached inRam.If you dataset is only 85MB, and you don't think it will grow, youreally don't have to worry about this much. You have a very small database.
3.) max_connections, been trying to figure 'how' todetermine this #. I've read this is buffer_size+500kper a connection.ie. 128mb(buffer) + 500kb = 128.5mb per connection?
Max connections is just how many concurrent connections you want toallow. If you can get away with lower, do so. Mostly this is to preventconnections * work_mem to get bigger than your real working memory andcausing you to swap.
I was curious about 'sort_mem' I can't find referenceof it in the 8.0.3 documentation, has it been removed?
sort_mem changed to work_mem in 8.0, same thing with vacuum_mem ->maintenance_work_mem.
work_mem and max_stack_depth set to 4096maintenance_work_mem set to 64mb
Depends how much space you want to give per connection. 4M is prettysmall for a machine with 4G of RAM, but if your DB is only 85M it mightbe plenty.work_mem is how much memory a sort/hash/etc will use before it spills todisk. So look at your queries. If you tend to sort most of your 85M dbin a single query, you might want to make it a little bit more. But ifall of your queries are very selective, 4M could be plenty.I would make maintenance_work_mem more like 512M. It is only used forCREATE INDEX, VACUUM, etc. Things that are not generally done by morethan one process at a time. And it's nice for them to have plenty ofroom to run fast.
Thanks for any help on this. I'm sure bombardment ofnewbies gets old :)-William
Good luck,JohnbitsCN.com

在数据库优化中,应根据查询需求选择索引策略:1.当查询涉及多个列且条件顺序固定时,使用复合索引;2.当查询涉及多个列但条件顺序不固定时,使用多个单列索引。复合索引适用于优化多列查询,单列索引则适合单列查询。

要优化MySQL慢查询,需使用slowquerylog和performance_schema:1.启用slowquerylog并设置阈值,记录慢查询;2.利用performance_schema分析查询执行细节,找出性能瓶颈并优化。

MySQL和SQL是开发者必备技能。1.MySQL是开源的关系型数据库管理系统,SQL是用于管理和操作数据库的标准语言。2.MySQL通过高效的数据存储和检索功能支持多种存储引擎,SQL通过简单语句完成复杂数据操作。3.使用示例包括基本查询和高级查询,如按条件过滤和排序。4.常见错误包括语法错误和性能问题,可通过检查SQL语句和使用EXPLAIN命令优化。5.性能优化技巧包括使用索引、避免全表扫描、优化JOIN操作和提升代码可读性。

MySQL异步主从复制通过binlog实现数据同步,提升读性能和高可用性。1)主服务器记录变更到binlog;2)从服务器通过I/O线程读取binlog;3)从服务器的SQL线程应用binlog同步数据。

MySQL是一个开源的关系型数据库管理系统。1)创建数据库和表:使用CREATEDATABASE和CREATETABLE命令。2)基本操作:INSERT、UPDATE、DELETE和SELECT。3)高级操作:JOIN、子查询和事务处理。4)调试技巧:检查语法、数据类型和权限。5)优化建议:使用索引、避免SELECT*和使用事务。

MySQL的安装和基本操作包括:1.下载并安装MySQL,设置根用户密码;2.使用SQL命令创建数据库和表,如CREATEDATABASE和CREATETABLE;3.执行CRUD操作,使用INSERT,SELECT,UPDATE,DELETE命令;4.创建索引和存储过程以优化性能和实现复杂逻辑。通过这些步骤,你可以从零开始构建和管理MySQL数据库。

InnoDBBufferPool通过将数据和索引页加载到内存中来提升MySQL数据库的性能。1)数据页加载到BufferPool中,减少磁盘I/O。2)脏页被标记并定期刷新到磁盘。3)LRU算法管理数据页淘汰。4)预读机制提前加载可能需要的数据页。

MySQL适合初学者使用,因为它安装简单、功能强大且易于管理数据。1.安装和配置简单,适用于多种操作系统。2.支持基本操作如创建数据库和表、插入、查询、更新和删除数据。3.提供高级功能如JOIN操作和子查询。4.可以通过索引、查询优化和分表分区来提升性能。5.支持备份、恢复和安全措施,确保数据的安全和一致性。


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