Bigquery Streamer v3

This is a streamer to transport Redis records to Google BigQuery using stream insert mode.

Features

• Fast, lightweight
• Scalable, multiple streamers can play well with each others
• Auto daily table/dataset creation, supports schema, ttl
• Feedback based throttling
• Basic schema validation
• Archive to Google Cloud Storage if payload size exceeds limits
• Auto correct invalid records
• Failure handlings with exponential retries
• Compatible with node.js > 0.10 and io.js > 1.0

Changes from v2 to v3

• Removed archiving feature, as BQ increased row size
• Better job scheduling and reduced memory usage by fixed number of senders and job pool
• Migrated to Node 4.2 with co.js
• Add stats reporting to debug log
• Updated dependencies: google-node-sdk => gcloud-node, redis-> ioredis

Get Started

Install

npm install bigquery-streamer --save

Start Streamer

var Streamer = require('bigquery-streamer');

var config = {...};
var streamer = new Streamer(config);
streamer.start();

Config

{
	"gcloud": {
		"projectId": "PROJECT_ID",
		"credentials": {
			"client_email": "CLIENT_EMAIL",
			"private_key": "PRIVATE_KEY"
		},
		"autoRetry": true,
		"maxRetries": 10
	},
	"redis": {
		"port": 6379,
		"host": "localhost",
		"db": 1
	},
	"streamer": {
		"max_row_size": 16000,
		"dataset_namespace": "development",
		"table_name_format": "YYYYMMDD_KEY",
		"key_prefix": "logs",
		"scan_interval": 5000,
		"send_batch_size": 100,
		"senders": 64,
		"enable_stat": true,
		"stat_interval": 10000,
		"table_definitions": {
			"general": {
				"v2": {
					"fields": [
						{
							"name": "name",
							"type": "STRING"
						},
						{
							"name": "hostname",
							"type": "STRING"
						},
						{
							"name": "pid",
							"type": "INTEGER"
						},
						{
							"name": "level",
							"type": "INTEGER"
						},
						{
							"name": "msg",
							"type": "STRING"
						},
						{
							"name": "time",
							"type": "TIMESTAMP"
						},
						{
							"name": "v",
							"type": "INTEGER"
						},
						{
							"name": "cargo",
							"type": "STRING"
						},
						{
							"name": "err",
							"type": "RECORD",
							"fields": [
								{
									"name": "name",
									"type": "STRING"
								},
								{
									"name": "message",
									"type": "STRING"
								},
								{
									"name": "stack",
									"type": "STRING"
								}
							]
						}
					],
					"strippable_fields": [
						"msg",
						"cargo"
					],
					"ttl": 100
				}
			}
		}
	}
}

Debug

Debug-logger is used. With environment variable DEBUG=*, all debug info will direct to stdout.