mysql

Select record(s) from mysql table where date is greater than or equal to today

你离开我真会死。 提交于 2021-02-20 02:13:27
问题 I am working on a project that has rows in the database that contains a date. I want to echo the data for the fields that have a date that is equal or greater to today. I have looked at other post and tried a lot of different methods and have yet to succedd. Currently what I have returns an error when I do >= but when I just do = with the statement below, I get all rows from the database. $sql = "SELECT * FROM drives WHERE ddest = '{$trimmed}' AND 'leave_date' => DATE_FORMAT(CURDATE(), '%m/%d

Select record(s) from mysql table where date is greater than or equal to today

隐身守侯 提交于 2021-02-20 02:13:04
问题 I am working on a project that has rows in the database that contains a date. I want to echo the data for the fields that have a date that is equal or greater to today. I have looked at other post and tried a lot of different methods and have yet to succedd. Currently what I have returns an error when I do >= but when I just do = with the statement below, I get all rows from the database. $sql = "SELECT * FROM drives WHERE ddest = '{$trimmed}' AND 'leave_date' => DATE_FORMAT(CURDATE(), '%m/%d

Select record(s) from mysql table where date is greater than or equal to today

感情迁移 提交于 2021-02-20 02:07:50
问题 I am working on a project that has rows in the database that contains a date. I want to echo the data for the fields that have a date that is equal or greater to today. I have looked at other post and tried a lot of different methods and have yet to succedd. Currently what I have returns an error when I do >= but when I just do = with the statement below, I get all rows from the database. $sql = "SELECT * FROM drives WHERE ddest = '{$trimmed}' AND 'leave_date' => DATE_FORMAT(CURDATE(), '%m/%d

Query to get all records until the sum of column less than or equal a value

≯℡__Kan透↙ 提交于 2021-02-20 00:39:37
问题 I want to get all the records in a table until the sum of a particular column is less than or equal to 'n'. For example: Table: data slno item price 1 item1 1000 2 item2 2000 3 item3 3000 4 item4 4000 5 item5 5000 6 item6 6000 I want to get all records from above table until the sum(price) is less than or equal to 10000 So, with the above table my result would be first 4 records. 回答1: You can do SELECT slno, item, price FROM ( SELECT slno, item, price, @t := @t + price total FROM table1 CROSS

20-30 concurrent mysql connections causes RDS to spike above 80%

给你一囗甜甜゛ 提交于 2021-02-20 00:20:34
问题 So We have an Amazon RDS server running with the following specs. Instance Class: r3.xlarge My issue is when the MySQL server experiences multiple concurrent connections (connections in range of 30-40), The CPU reaches its peak. However according to the monitoring stats, it should be able to handle connections well above that. Here is the output for mysqltuner >> MySQLTuner 1.7.1 - Major Hayden <major@mhtx.net> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run

Get updated MySQL table entries in python without closing connection

拜拜、爱过 提交于 2021-02-19 23:06:38
问题 I have 2 python programs running. Script1 writes entries to a table periodically, and Script2 reads from the same MySQL table. Both are running simultaneously. Script2 must get the last (latest added) entry of the table. Now, the problem is that Script1 is adding entries to the table perfectly, but Script2 is unable to read the latest entry each time. It reads the latest entry only when I close the connection after reading, and re-open it when I want to read again. Is this the only approach

为什么 ElasticSearch 比 MySQL 更适合复杂条件搜索

时光总嘲笑我的痴心妄想 提交于 2021-02-19 22:49:33
点击上方" 程序员历小冰 ",选择“置顶或者星标” 你的关注意义重大! 熟悉 MySQL 的同学一定都知道,MySQL 对于复杂条件查询的支持并不好。MySQL 最多使用一个条件涉及的索引来过滤,然后剩余的条件只能在遍历行过程中进行内存过滤,对这个过程不了解的同学可以先行阅读一下 《MySQL复杂where条件分析》 。 上述这种处理复杂条件查询的方式因为只能通过一个索引进行过滤,所以需要进行大量的 I/O 操作来读取行数据,并消耗 CPU 进行内存过滤,导致查询性能的下降。 而 ElasticSearch 因其特性,十分适合进行复杂条件查询,是业界主流的复杂条件查询场景解决方案,广泛应用于订单和日志查询等场景。 下面我们就一起来看一下,为什么 ElasticSearch 适合进行复杂条件查询。 ElasticSearch 简介 Elasticsearch 是开源的实时分布式搜索分析引擎,内部使用 Lucene 做索引与搜索。它提供"准实时搜索"能力,并且能动态集群规模,弹性扩容。 Elasticsearch 使用 Lucene 作为其全文搜索引擎,用于处理纯文本的数据,但 Lucene 只是一个库,提供建立索引、执行搜索等接口,但不包含分布式服务,这些正是 Elasticsearch 做的。 下面,我们来介绍一下 ElasticSearch 的相关概念。为了便于初学者理解

Redmine-4.1.1 使用Thin作为Web服务器(Ubuntu 20.04.2)

↘锁芯ラ 提交于 2021-02-19 17:00:52
准备工作 按 Redmine 官方文档 Installation Guide 安装好了Redmine 4.1.1. 具体的环境见最后“ 环境信息 ” 使用webrick可以运行redmine: bundle exec rails server webrick -e production 安装thin $ sudo apt install thin $ thin -v thin 1.7.2 codename Bachmanity 配置 Redmine4.1.1 的gemfile # samxiao @ rm411 in ~/redmine-4.1.1 [12:16:42] $ vi Gemfile.local # samxiao @ rm411 in ~/redmine-4.1.1 [12:17:12] $ cat Gemfile.local gem 'thin' 运行thin作为web服务的Redmine # samxiao @ rm411 in ~/redmine-4.1.1 [12:19:41] C:127 $ bundle exec rails server thin -e production => Booting Thin => Rails 5.2.4.2 application starting in production on http://0.0.0.0:3000

Ubuntu12.10安装Mysql数据库

那年仲夏 提交于 2021-02-19 11:46:00
安装步骤 要安装mysql,可以在终端提示符下输入以下命令: sudo apt-get install mysql-server mysql-client #中途会让你输入一次root用户密码 一旦安装完成,MySQL 服务器应该自动启动。 sudo start mysql #手动的话这样启动 sudo stop mysql #手动停止 当你修改了配置文件後,你需要重启 mysqld 才能使这些修改生效。 要想检查 mysqld 进程是否已经开启,可以使用下面的命令: pgrep mysqld 如果进程开启,这个命令将会返回该进程的 id。 Mysql的文件结构 MySQL配置文件:/etc/mysql/my.cnf ,其中指定了数据文件存放路径 datadir = /var/lib/mysql 如果你创建了一个名为 test 的数据库,那么这个数据库的数据会存放到 /var/lib/mysql/test 目录下。 进入Mysql mysql -u root -p 提示输入进入mysql数据库的密码。 修改 MySQL 的管理员密码: sudo mysqladmin -u root password newpassword; 简单的操作 查看数据库: mysql> show databases; +--------------------+ | Database | +------

MySQL基础语法

馋奶兔 提交于 2021-02-19 10:49:57
一、什么是数据库: 数据库(database)是按照数据库的结构来组织、存储和管理数据库的仓库。 二、mysql相关操作: 1、sql语句语法规范: a.常用mysql的关键字我们需要大写、库名、表名、字段名称等使用小写。 b.sql语句支持折行操作,但是不要把完整的单词拆开。 c.数据库名称、表名称、字段名称不要使用mysql的保留字,如果必须使用,需要用反引号‘’将其括起来。 2、登录/退出mysql a.登录:mysql -uroot -p b:登陆的同时修改命令提示符:mysql -uroot -p --prompr =‘\h~\u~\d~\D’(命令提示符) \h:主机 \u:当前登陆的用户 \d:当前打开的数据库 \D:当前服务器的时间 3、得到版本号: mysql -V mysql --version 4、登陆的同时,打开指定数据库: mysql -uroot -p -D db_name 5、退出: exit quit \q 6、命令行结束符默认使用‘ ;’或者是\g来结束 7、可以通过help或者\h或者?加上相关关键字来查看手册 8、\c可以取消当前命令的执行 三、数据库相关操作 来源: oschina 链接: https://my.oschina.net/u/4341017/blog/4115953