Metadata-Version: 2.1
Name: syncanysql
Version: 0.0.4
Summary: Simple and easy-to-use sql execution engine
Home-page: https://github.com/snower/syncany-sql
Author: snower
Author-email: sujian199@gmail.com
License: MIT
Description: # Syncany-SQL
        
        简单易用的SQL执行引擎。
        
        - 可在本地运行MySQL语法结构的SQL
        - 支持查询常用mysql、mongodb、postgresql、sqlserver、elasticsearch、influxdb、clickhouse数据库及execl、csv、json和普通文本文件
        - 支持本地临时数据表逻辑做中间结果保存
        - 数据库数据加载使用简单条件过滤及IN条件查询
        - 因由本地完成Join匹配所以支持不同库表、不同主机及不同类型数据库间Join关联查询
        - Group By分组聚合计算及Order By排序也由本地执行，保证数据库安全性
        - 数据写Insert Into支持 ”仅插入 I“、”存在更新否则插入 UI“、”存在更新否则插入其余删除 UDI“、”删除后插入 DI“四种模式
        - 大数据量支持批次执行，有Group By或Having条件过滤自动执行Reduce合并结果
        - 支持流式执行
        
        -----
        
        - [安装](#安装)
        - [特性与限制](docs/feature-restrictions.md)
        - [配置详解](docs/configure.md)
        - [驱动依赖](docs/driver-dependency.md)
        - [示例详解](examples)
        
        ## 安装
        
        ```
        pip3 install syncanysql
        ```
        
        ## 查询Nginx日志
        
        ```sql
        SELECT
            ip, cnt
        FROM
            (SELECT
                seg0 AS ip, COUNT(*) AS cnt
            FROM
                `file:///var/log/nginx/access.log?sep= `
            GROUP BY seg0) a
        ORDER BY cnt DESC
        LIMIT 3;
        ```
        
        ## 查询JSON文件
        
        ```sql
        SELECT
            a.site_id,
            b.name AS site_name,
            IF(c.site_amount > 0, c.site_amount, 0) AS site_amount,
            MAX(a.timeout_at) AS timeout_at,
            MAX(a.vip_timeout_at) AS vip_timeout_at,
            now() as `created_at?`
        FROM
            (SELECT
                YIELD_DATA(sites) AS site_id,
                    IF(vip_type = '2', GET_VALUE(rules, 0, 'timeout_time'), '') AS timeout_at,
                    IF(vip_type = '1', GET_VALUE(rules, 0, 'timeout_time'), '') AS vip_timeout_at
            FROM
                `data/demo.json`
            WHERE
                start_date >= '2021-01-01') a
                JOIN
            `data/sites.json` b ON a.site_id = b.site_id
                JOIN
            (SELECT
                site_id, SUM(amount) AS site_amount
            FROM
                `data/orders.json`
            WHERE
                status <= 0
            GROUP BY site_id) c ON a.site_id = c.site_id
        GROUP BY a.site_id;
        ```
        
        # License
        
        Syncany-SQL uses the MIT license, see LICENSE file for the details.
Platform: UNKNOWN
Description-Content-Type: text/markdown
Provides-Extra: clickhouse
Provides-Extra: elasticsearch
Provides-Extra: influxdb
Provides-Extra: openpyxl
Provides-Extra: postgresql
Provides-Extra: pymongo
Provides-Extra: pymssql
Provides-Extra: pymysql
Provides-Extra: pyyaml
Provides-Extra: redis
Provides-Extra: requests
