clickhouse-orm

Clickhouse ORM for Nodejs. Send query over HTTP interface. Using TimonKK/clickhouse.

Install:

npm i clickhouse-orm

Usage

Create instance：

const { ClickhouseOrm, DATA_TYPE, setLogService } = require("clickhouse-orm");

const chOrm = ClickhouseOrm({
  db: {
    name: "orm_test",
  },
  debug: true,
  client: {
    url: "localhost",
    port: "8123",
    basicAuth: {
      username: "default",
      password: "",
    },
    debug: false,
    isUseGzip: true,
    format: "json", // "json" || "csv" || "tsv"
  },
});

Define Schema：

const table1Schema = {
  // table name
  tableName: "table1",
  // define column name
  schema: {
    time: { type: DATA_TYPE.DateTime, default: Date },
    status: { type: DATA_TYPE.Int32 },
    browser: { type: DATA_TYPE.String },
    browser_v: {},
  },
  // create table sql
  createTable: (dbTableName) => {
    // dbTableName = db + '.' + tableName = (orm_test.table1)
    return `
      CREATE TABLE IF NOT EXISTS ${dbTableName}
      (
        time DateTime,
        status Int32,
        browser LowCardinality(String),
        browser_v String
      )
      ENGINE = MergeTree
      PARTITION BY toYYYYMM(time)
      ORDER BY time`;
  },
};

create / build + save / find：

const doDemo = async () => {
  // create database 'orm_test'
  // SQL: CREATE DATABASE IF NOT EXISTS orm_test
  await chOrm.createDatabase();

  // register schema and create [if] table
  // createTable() SQL: CREATE TABLE IF NOT EXISTS orm_test.table1...
  const Table1Model = await chOrm.model(table1Schema);

  // new data model
  const data = Table1Model.build({ status: 2 });

  // set value
  data.time = new Date();
  data.browser = "chrome";
  data.browser_v = "90.0.1.21";

  // do save
  const res = await data.save();
  // SQL: INSERT INTO orm_test.table1 (time,status,browser,browser_v) [{"time":"2022-02-05T07:51:16.919Z","status":2,"browser":"chrome","browser_v":"90.0.1.21"}]
  console.log("save:", res);

  // create === build + save
  const resCreate = await Table1Model.create({
    status: 1,
    time: new Date(),
    browser: "chrome",
    browser_v: "90.0.1.21",
  });
  console.log("create:", resCreate);

  // do find
  Table1Model.find({
    select: "*",
    limit: 3,
  }).then((res) => {
    // SQL: SELECT * from orm_test.table1    LIMIT 3
    console.log("find:", res);
  });
};

doDemo();

Overview

Note: '?' is a Optional

ClickhouseOrm

db : object<{name:string, engine?:string, cluster?:string}>

name: database name

engine?: database engine

cluster?: cluster name

debug : boolean

Default: false

client : object

Drive configuration. More in TimonKK/clickhouse.

Schema

tableName : string

It is the table name.

schema : { [column]: { type?, default? } }

The type will be verified, The default is the default value for column.

createTable : string

It is the SQL for creating tables.When model is executed, this SQL will be executed. It is suggested to add 'IF NOT EXISTS'.

Watch out !!! >>>>> If the table already exists and you want to modify it. You need to execute the modification sql through other clients（Such as Remote terminal） and update the code of the Schema!!!

const table1Schema = {
  // table name
  tableName: "table1",
  // define column
  schema: {
    time: { type: DATA_TYPE.DateTime, default: Date },
    status: { type: DATA_TYPE.Int32 },
    browser: { type: DATA_TYPE.String },
    browser_v: {},
  },
  // create table sql
  createTable: (dbTableName) => {
    // dbTableName = db + '.' + tableName = (orm_test.table1)
    return `
      CREATE TABLE IF NOT EXISTS ${dbTableName}
      (
        time DateTime,
        status Int32,
        browser LowCardinality(String),
        browser_v String
      )
      ENGINE = MergeTree
      PARTITION BY toYYYYMM(time)
      ORDER BY time`;
  },
};

// register schema and create [if] table
const Table1Model = await chOrm.model(table1Schema);

DATA_TYPE

The clickhouse data types. Some types are defined here.

Columns with defined types will be verified. It only checks the basic type of data, not the most standard value. They are number | string | boolean | date.

export enum DATA_TYPE {
  UInt8 = 'number',
  UInt16 = 'number',
  UInt32 = 'number',
  UInt64 = 'number',
  UInt128 = 'number',
  UInt256 = 'number',
  Int8 = 'number',
  Int16 = 'number',
  Int32 = 'number',
  Int64 = 'number',
  Int128 = 'number',
  Int256 = 'number',
  Float32 = 'number',
  Float64 = 'number',
  Boolean = 'boolean',
  String = 'string',
  UUID = 'string',
  Date = 'date|string|number',
  Date32 = 'date|string|number',
  DateTime = 'date|string|number',
  DateTime64 = 'date|string|number',
}

schema: {
  time: { type: DATA_TYPE.DateTime, default: Date },
  [column]: { type?, default? }
}

Log

The setLogService is a global configuration method and will affect all instances.

Default: console.log

Custom example: winston

const { setLogService } = require("clickhouse-orm");
const winston = require("winston");
const logger = winston.createLogger();

setLogService(logger.info);

Use SQL directly：

chOrm.client
  .query(`select * from orm_test.table1 limit 3`)
  .toPromise()
  .then((res) => {
    console.log("Use sql:", res);
  });

The chOrm.client is the TimonKK/clickhouse instance.

More Examples

Find

import * as dayjs from "dayjs";

queryExample1({
  Model: Table1Model,
  status: 1,
  beginTime: dayjs().subtract(1, "day").format("YYYY-MM-DD HH:mm:ss"),
  endTime: dayjs().format("YYYY-MM-DD HH:mm:ss"),
}).then((res) => {
  console.log("queryExample1:", res);
});

const queryExample1 = ({ Model, status, beginTime, endTime }) => {
  let wheres = [],
    where;
  if (status) wheres.push(`status='${status}'`);
  if (beginTime) wheres.push(`time>='${beginTime}'`);
  if (endTime) wheres.push(`time<='${endTime}'`);
  if (wheres.length > 0) where = wheres.join(" and ");

  return Model.find({
    where,
    select: `*`,
    orderBy: "time ASC",
    limit: 5,
  });
};

Final executed SQL:

SELECT * from orm_test.table1 where status='1' and time>='2022-02-04 15:34:22' and time<='2022-02-05 15:34:22'  ORDER BY time ASC LIMIT 5

Count

countExample1({
  Model: Table1Model,
}).then((res) => {
  console.log("countExample1:", res);
});

const countExample1 = ({ Model }) => {
  return Model.find({
    select: `count(*) AS total`,
  });
};

Final executed SQL:

SELECT count(*) AS total from orm_test.table1

GroupBy

Table1Model.find({
  select: `status,browser`,
  groupBy: "status,browser",
});

Final executed SQL:

SELECT status,browser from orm_test.table1  GROUP BY status,browser

Nested Queries

Table1Model.find([
  {
    select: `browser`,
    groupBy: "browser",
  },
  {
    select: `count() as browserTotal`,
  },
]);

Final executed SQL:

SELECT count() as browserTotal from (SELECT browser from orm_test.table1  GROUP BY browser  )

save

// new data model
const data = Table1Model.build();

// set value
data.time = new _Date_();
data.status = 1;
data.browser = "chrome";
data.browser_v = "90.0.1.21";

// do save
data.save().then((res) => {
  console.log("save:", res);
});

Final executed SQL:

INSERT INTO orm_test.table1 (time,status,browser,browser_v) [{"time":"2022-02-05T07:51:16.919Z","status":1,"browser":"chrome","browser_v":"90.0.1.21"}]\

create

//do create
await Table1Model.create({
  status: 1,
  time: new Date(),
  browser: "chrome",
  browser_v: "90.0.1.21",
});

Final executed SQL:

INSERT INTO orm_test.table1 (time,status,browser,browser_v) [{"time":"2022-02-05T07:51:16.919Z","status":1,"browser":"chrome","browser_v":"90.0.1.21"}]\

InsertMany

const list = [
  { status: 2, browser: "IE", browser_v: "10.0.1.21" },
  { status: 2, browser: "FF", browser_v: "2.0.3" },
  { status: 3, browser: "IE", browser_v: "1.1.1" },
];

Table1Model.insertMany(list);
// or
Table1Model.insertMany(
  list.map((item) => {
    const data = Table1Model.build();
    // set value
    data.time = new Date();
    data.status = item.status;
    data.browser = item.browser;
    data.browser_v = item.browser_v;
    return data;
  })
);

Final executed SQL:

INSERT INTO orm_test.table1 (time,status,browser,browser_v) [{"time":"2022-02-05T07:34:22.226Z","status":2,"browser":"IE","browser_v":"10.0.1.21"},{"time":"2022-02-05T07:34:22.226Z","status":2,"browser":"FF","browser_v":"2.0.3"},{"time":"2022-02-05T07:34:22.226Z","status":3,"browser":"IE","browser_v":"1.1.1"}]

cluster

Create a cluster instance：

const { ClickhouseOrm, DATA_TYPE, setLogService } = require("clickhouse-orm");

const chOrm = ClickhouseOrm({
  db: {
    name: "orm_cluster_test",
    cluster: "default_cluster",
  },
  // ...other
});
const table2Schema = {
  // table name
  tableName: "table2",
  // create table sql
  createTable: (dbTableName, db) => {
    // dbTableName = db + '.' + tableName = (orm_test.table2)
    return `
      CREATE TABLE IF NOT EXISTS ${dbTableName} ON CLUSTER ${db.cluster}
      ...other`;
  },
  ...other,
};

// create database 'orm_cluster_test'
// SQL: CREATE DATABASE IF NOT EXISTS orm_cluster_test ON CLUSTER default_cluster
await chOrm.createDatabase();

// register schema and create [if] table
// createTable() SQL: CREATE TABLE IF NOT EXISTS orm_cluster_test.table2 ON CLUSTER default_cluster...
const Table2Model = await chOrm.model(table2Schema);

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node-clickhouse-orm's Introduction

clickhouse-orm

Install:

Usage

Overview

ClickhouseOrm

Schema

DATA_TYPE

Log

Use SQL directly：

Find

Count

GroupBy

Nested Queries

save

create

InsertMany

cluster

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