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README.md

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Xmysql : One command to generate REST APIs for any MySql database

Why this ?

xmysql gif

Generating REST APIs for a MySql database which does not follow conventions of frameworks such as rails, django, laravel etc is a small adventure that one like to avoid ..

Hence this.

Setup and Usage

npm install -g xmysql
xmysql -h localhost -u mysqlUsername -p mysqlPassword -d databaseName
http://localhost:3000

That is it! Happy hackery!

Example : Generate REST APIs for Magento

Powered by popular node packages : (express, mysql) => { xmysql }

xmysql gif

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Features

  • Generates API for ANY MySql database 🔥🔥
  • Serves APIs irrespective of naming conventions of primary keys, foreign keys, tables etc 🔥🔥
  • Support for composite primary keys 🔥🔥
  • CRUD, List, FindOne, Count, Exists
  • Bulk insert, Bulk delete, Bulk read 🔥
  • Relations
  • Pagination
  • Sorting
  • Column filtering - Fields 🔥
  • Row filtering - Where 🔥
  • Aggregate functions
  • Group By, Having (as query params) 🔥🔥
  • Group By, Having (as a separate API) 🔥🔥
  • Multiple group by in one API 🔥🔥
  • Chart API for numeric column 🔥🔥
  • Supports views
  • Prototyping (features available when using local MySql server only)
    • Run dynamic queries 🔥🔥🔥
    • Upload single file
    • Upload multiple files
    • Download file

Use HTTP clients like Postman or similar tools to invoke REST API calls


Download node, mysql (setup mysql), sample database - if you haven't on your system.

API Overview

HTTP Type API URL Comments
GET / Gets all REST APIs
GET /api/tableName Lists rows of table
POST /api/tableName Create a new row
PUT /api/tableName Replaces existing row with new row
POST 🔥 /api/tableName/bulk Create multiple rows - send object array in request body
GET 🔥 /api/tableName/bulk Lists multiple rows - /api/tableName/bulk?_ids=1,2,3
DELETE 🔥 /api/tableName/bulk Deletes multiple rows - /api/tableName/bulk?_ids=1,2,3
GET /api/tableName/:id Retrieves a row by primary key
PATCH /api/tableName/:id Updates row element by primary key
DELETE /api/tableName/:id Delete a row by primary key
GET /api/tableName/findOne Works as list but gets single record matching criteria
GET /api/tableName/count Count number of rows in a table
GET /api/tableName/:id/exists True or false whether a row exists or not
GET /api/parentTable/:id/childTable Get list of child table rows with parent table foreign key
GET 🔥 /api/tableName/aggregate Aggregate results of numeric column(s)
GET 🔥 /api/tableName/groupby Group by results of column(s)
GET 🔥 /api/tableName/ugroupby Multiple group by results using one call
GET 🔥 /api/tableName/chart Numeric column distribution based on (min,max,step) or(step array) or (automagic)
GET 🔥 /dynamic execute dynamic mysql statements with params
GET 🔥 /upload upload single file
GET 🔥 /uploads upload multiple files
GET 🔥 /download download a file
GET /api/tableName/describe describe each table for its columns
GET /api/tables get all tables in database

Relational Tables

xmysql identifies foreign key relations automatically and provides GET api.

/api/blogs/103/comments

eg: blogs is parent table and comments is child table. API invocation will result in all comments for blog primary key 103.

Support for composite primary keys

___ (three underscores)

/api/payments/103___JM555205

___ : If there are multiple primary keys - seperate them by three underscores as shown

Pagination

_p & _size

_p indicates page and _size indicates size of response rows

By default 20 records and max of 100 are returned per GET request on a table.

/api/payments?_size=50
/api/payments?_p=2
/api/payments?_p=2&_size=50

Order by / Sorting

ASC

/api/payments?_sort=column1

eg: sorts ascending by column1

DESC

/api/payments?_sort=-column1

eg: sorts descending by column1

Multiple fields in sort

/api/payments?_sort=column1,-column2

eg: sorts ascending by column1 and descending by column2

Column filtering / Fields

/api/payments?_fields=customerNumber,checkNumber

eg: gets only customerNumber and checkNumber in response of each record

/api/payments?_fields=-checkNumber

eg: gets all fields in table row but not checkNumber

Row filtering / Where

Comparison operators

eq      -   '='         -  (colName,eq,colValue)
ne      -   '!='        -  (colName,ne,colValue)
gt      -   '>'         -  (colName,gt,colValue)
gte     -   '>='        -  (colName,gte,colValue)
lt      -   '<'         -  (colName,lt,colValue)
lte     -   '<='        -  (colName,lte,colValue)
is      -   'is'        -  (colName,is,true/false/null)
in      -   'in'        -  (colName,in,val1,val2,val3,val4)
like    -   'like'      -  (colName,like,~name)   note: use ~ in place of % 
nlike   -   'not like'  -  (colName,nlike,~name)  note: use ~ in place of %

Use of comparison operators

/api/payments?_where=(checkNumber,eq,JM555205)~or((amount,gt,200)~and(amount,lt,2000))

Logical operators

~or     -   'or'
~and    -   'and'
~xor    -   'xor'

Use of logical operators

eg: simple logical expression

/api/payments?_where=(checkNumber,eq,JM555205)~or(checkNumber,eq,OM314933)

eg: complex logical expression

/api/payments?_where=((checkNumber,eq,JM555205)~or(checkNumber,eq,OM314933))~and(amount,gt,100)

eg: logical expression with sorting(_sort), pagination(_p), column filtering (_fields)

/api/payments?_where=(amount,gte,1000)&_sort=-amount&p=2&&_fields=customerNumber

eg: filter of rows using _where is available for relational route URLs too.

/api/offices/1/employees?_where=(jobTitle,eq,Sales%20Rep)

FindOne

/api/tableName/findOne?_where=(id,eq,1)

Works similar to list but only returns top/one result. Used in conjunction with _where

Count

/api/tableName/count

Returns number of rows in table

Exists

/api/tableName/1/exists

Returns true or false depending on whether record exists

Group By Having as query params

/api/offices?_groupby=country

eg: SELECT country,count(*) FROM offices GROUP BY country

/api/offices?_groupby=country&_having=(_count,gt,1)

eg: SELECT country,count(1) as _count FROM offices GROUP BY country having _count > 1

Group By Having as API

/api/offices/groupby?_fields=country

eg: SELECT country,count(*) FROM offices GROUP BY country

/api/offices/groupby?_fields=country,city

eg: SELECT country,city,count(*) FROM offices GROUP BY country,city

/api/offices/groupby?_fields=country,city&_having=(_count,gt,1)

eg: SELECT country,city,count(*) as _count FROM offices GROUP BY country,city having _count > 1

Group By, Order By

/api/offices/groupby?_fields=country,city&sort=city

eg: SELECT country,city,count(*) FROM offices GROUP BY country,city ORDER BY city ASC

/api/offices/groupby?_fields=country,city&sort=city,country

eg: SELECT country,city,count(*) FROM offices GROUP BY country,city ORDER BY city ASC, country ASC

/api/offices/groupby?_fields=country,city&sort=city,-country

eg: SELECT country,city,count(*) FROM offices GROUP BY country,city ORDER BY city ASC, country DESC

Aggregate functions

http://localhost:3000/api/payments/aggregate?_fields=amount

response body
[
    {
        "min_of_amount": 615.45,
        "max_of_amount": 120166.58,
        "avg_of_amount": 32431.645531,
        "sum_of_amount": 8853839.23,
        "stddev_of_amount": 20958.625377426568,
        "variance_of_amount": 439263977.71130896
    }
]

eg: retrieves all numeric aggregate of a column in a table

http://localhost:3000/api/orderDetails/aggregate?_fields=priceEach,quantityOrdered

response body
[
    {
        "min_of_priceEach": 26.55,
        "max_of_priceEach": 214.3,
        "avg_of_priceEach": 90.769499,
        "sum_of_priceEach": 271945.42,
        "stddev_of_priceEach": 36.576811252187795,
        "variance_of_priceEach": 1337.8631213781719,
        "min_of_quantityOrdered": 6,
        "max_of_quantityOrdered": 97,
        "avg_of_quantityOrdered": 35.219,
        "sum_of_quantityOrdered": 105516,
        "stddev_of_quantityOrdered": 9.832243813502942,
        "variance_of_quantityOrdered": 96.67301840816688
    }
]

eg: retrieves numeric aggregate can be done for multiple columns too

Union of multiple group by statements

🔥🔥[ HOTNESS ALERT ]

Group by multiple columns in one API call using _fields query params - comes really handy

http://localhost:3000/api/employees/ugroupby?_fields=jobTitle,reportsTo

response body
{  
   "jobTitle":[  
      {  
         "Sales Rep":17
      },
      {  
         "President":1
      },
      {  
         "Sale Manager (EMEA)":1
      },
      {  
         "Sales Manager (APAC)":1
      },
      {  
         "Sales Manager (NA)":1
      },
      {  
         "VP Marketing":1
      },
      {  
         "VP Sales":1
      }
   ],
   "reportsTo":[  
      {  
         "1002":2
      },
      {  
         "1056":4
      },
      {  
         "1088":3
      },
      {  
         "1102":6
      },
      {  
         "1143":6
      },
      {  
         "1621":1
      }
      {  
         "":1
      },
   ]
}

Chart

🔥🔥 [ HOTNESS ALERT ]

Chart API returns distribution of a numeric column in a table

It comes in three flavours

  1. Chart : With min, max, step in query params 🔥🔥

This API returns the number of rows where amount is between (0,25000), (25001,50000) ...

/api/payments/chart?_fields=amount&min=0&max=131000&step=25000

Response

[
  {
    "amount": "0 to 25000",
    "_count": 107
  },
  {
    "amount": "25001 to 50000",
    "_count": 124
  },
  {
    "amount": "50001 to 75000",
    "_count": 30
  },
  {
    "amount": "75001 to 100000",
    "_count": 7
  },
  {
    "amount": "100001 to 125000",
    "_count": 5
  },
  {
    "amount": "125001 to 150000",
    "_count": 0
  }
]

  1. Chart : With step array in params 🔥🔥

This API returns distribution between the step array specified

/api/payments/chart?_fields=amount&steparray=0,10000,20000,70000,140000

Response

[
  {
    "amount": "0 to 10000",
    "_count": 42
  },
  {
    "amount": "10001 to 20000",
    "_count": 36
  },
  {
    "amount": "20001 to 70000",
    "_count": 183
  },
  {
    "amount": "70001 to 140000",
    "_count": 12
  }
]


  1. Chart : with no params 🔥🔥

This API figures out even distribution of a numeric column in table and returns the data

/api/payments/chart?_fields=amount

Response
[
  {
    "amount": "-9860 to 11100",
    "_count": 45
  },
  {
    "amount": "11101 to 32060",
    "_count": 91
  },
  {
    "amount": "32061 to 53020",
    "_count": 109
  },
  {
    "amount": "53021 to 73980",
    "_count": 16
  },
  {
    "amount": "73981 to 94940",
    "_count": 7
  },
  {
    "amount": "94941 to 115900",
    "_count": 3
  },
  {
    "amount": "115901 to 130650",
    "_count": 2
  }
]

Please Note: _fields in Chart API can only take numeric column as its argument.

Run dynamic queries

Dynamic queries on a database can be run by POST method to URL localhost:3000/dynamic

This is enabled ONLY when using local mysql server i.e -h localhost or -h 127.0.0.1 option.

Post body takes two fields : query and params.

query: SQL query or SQL prepared query (ones with ?? and ?)

params : parameters for SQL prepared query

POST /dynamic   

    {
        "query": "select * from ?? limit 1,20",
        "params": ["customers"]
    }

POST /dynamic URL can have any suffix to it - which can be helpful in prototyping

eg:

POST /dynamic/weeklyReport
POST /dynamic/user/update

Upload single file

POST /upload

Do POST operation on /upload url with multiform 'field' assigned to local file to be uploaded

eg: curl --form file=@/Users/me/Desktop/a.png http://localhost:3000/upload

returns uploaded file name else 'upload failed'

(Note: POSTMAN has issues with file uploading hence examples with curl)

Upload multiple files

POST /uploads

Do POST operation on /uploads url with multiform 'fields' assigned to local files to be uploaded

Notice 's' near /api/uploads and files in below example

eg: curl --form files=@/Users/me/Desktop/a.png --form files=@/Users/me/Desktop/b.png http://localhost:3000/uploads

returns uploaded file names as string

Download file

http://localhost:3000/download?name=fileName

For upload and download of files -> you can specify storage folder using -s option Upload and download apis are available only with local mysql server

When to use ?

  • You need just REST APIs without much hassle for (ANY) MySql database.
  • You are learning new frontend frameworks and need REST APIs for your MySql database.
  • You are working on a demo, hacks etc

When NOT to use ?

  • If you are in need of a full blown MVC framework, ACL, Validations, Authorisation etc - its early days please watch/star this repo to keep a tab on progress.

Command line options

  Options:

    -V, --version            output the version number
    -h, --host <n>           hostname / localhost by default
    -u, --user <n>           username of database / root by default
    -p, --password <n>       password of database / empty by default
    -d, --database <n>       database schema name
    -n, --portNumber <n>     port number for app / 3000 by default
    -s, --storageFolder <n>  storage folder / current working dir by default / available only with local
    -i, --ignoreTables <n>   comma separated table names to ignore
    -h, --help               output usage information

  Examples:

    $ xmysql -u username -p password -d databaseSchema

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Docker

Simply build with docker build -t xmysql . and run with docker run -p 3000:3000 -d xmysql

The best way for testing is to run mysql in a docker container too and create a docker network, so that xmysql can access the mysql container with a name from docker network.

  1. Create network
    • docker network create mynet
  2. Start mysql with docker name some-mysql and bind to docker network mynet
    • docker run --name some-mysql -p 3306:3306 --net mynet -e MYSQL_ROOT_PASSWORD=password -d mysql
  3. build xmysql container (if not done yet)
    • docker build -t xmysql .
  4. run xmysql and set env variable for some-mysql from step 2
    • docker run -p 3000:3000 -d -e DATABASE_HOST=some-mysql --net mynet xmysql

You can also pass the environment variables to a file and use them as an option with docker like docker run --env-file ./env.list -p 3000:3000 --net mynet -d xmysql

environment variables which can be used:

ENV DATABASE_HOST 127.0.0.1
ENV DATABASE_USER root
ENV DATABASE_PASSWORD password
ENV DATABASE_NAME sakila

Tests : setup on local machine

Login to mysql shell

mysql> create database classicmodels
mysql> use classicmodels
mysql> source path_to/xmysql/tests/sample.sql
$ mocha tests/*.js --exit