1.4.0 • Published 5 years ago

winston-bigquery v1.4.0

Weekly downloads
38
License
ISC
Repository
github
Last release
5 years ago

winston-bigquery

Bigquery transport for winston logger

CircleCI npm version

Usage

import {WinstonBigQuery} from 'winston-bigquery';
import winston, {format} from 'winston';

const logger = winston.createLogger({
	level: 'debug',
	transports: [
		.....
		new WinstonBigQuery({
			datasetId: 'logs'
			tableId: 'winston_logs',
		})
		.....
	]
});

logger.info('Hello World', {
	meta1: 1,
	meta2: 'string',
	meta3: {deepObj: 1}
});

Credentials

in order to access bigquery we need a service account credentials, there are 3 ways to set it

  1. pass applicationCredentials containing a path to your key file in options
  2. set GOOGLE_APPLICATION_CREDENTIALS environment settings
  3. set SERVICE_ACCOUNT environment settings (recommended)

the latter was added since adding GOOGLE_APPLICATION_CREDENTIALS is reported to sometimes break other google sdks (such as firebase)

Motivation

Google has its own log solution, Stackdriver Logging. Unfortunately, I find it messy , inconvenient, and hard to query. On the other hand , Bigquery has an excellent UI and easy sql-like querying capabilities, it is also optimized to search through HUGE amount of data.

Typescript Support

winston-bigquery comes with its' own type definitions, so you wont have to use DefinitelyTyped

Schema

BigQuery need a schema for the its table. this can be achieved by 2 ways :

  1. create your schema manually
  2. use the dropCreate:true and schema:{...} options in the constructor.
    please refer the create-table example

the following field will always be auto-created for you

[
  {
    "name": "timestamp",
    "type": "TIMESTAMP"
  },
  {
    "name": "level",
    "type": "STRING"
  },
  {
    "name": "message",
    "type": "STRING"
  },
  {
    "name": "meta",
    "type": "STRING"
  }
]

Metadata field

everything outside the schema will automatically be flattened out, converted to string and pushed into the "meta" fieldl

later on you can query the json data with the built-in BigQuery functions for example :

SELECT t.*, JSON_EXTRACT(t.meta,"$.character_name") FROM `project.schema.table` t LIMIT 1000

Installing Winston-Bigquery

npm i winston-bigquery

Run Tests

npm test

Author: Pavel 'PK' Kaminsky

1.4.0

5 years ago

1.3.0

5 years ago

1.2.2

5 years ago

1.2.1

5 years ago

1.2.0

5 years ago

1.1.1

5 years ago

1.1.0

5 years ago

1.0.5

5 years ago

1.0.4

5 years ago

1.0.3

5 years ago

1.0.2

5 years ago