dbcp
$ dbcp foo.parquet foo.jsonl
Copy from or to MySQL, PostgreSQL, SQLServer, or ElasticSearch directly to/from Amazon Web Services (AWS) S3, Google Cloud Storage (GCS), Microsoft Azure, SMB, HTTP, another database, or file.
Automatically converts between supported formats JSON, ND-JSON, CSV, SQL, Parquet, and TFRecord (with optional gzip compression).
CLI
Either --sourceType
or --sourceFile
and --targetType
or --targetFile
are required. Other options can be shortened, e.g --user
instead of --sourceUser
. Only a database-to-database copy requires both --sourceUser
and --targetUser
. The file format and compression is inferred from the filename.
dbcp
pipes Readable Node.JS streams to Writable streams. No intermediate storage is required.
API
- The
transformObject
/transformObjectStream
API can be used for streaming transforms of Big Data. - The CLI uses
transformBytes
/transformBytesStream
to render progress updates.
Features
dbcp
supports sharding. It can split or join groups of files.dbcp
can convert files from one format to another.dbcp
supports compound inserts, which can insert groups of associated rows from multiple tables.dbcp
can translate SQL dialects, e.g. dump a Postgres table to .sql file with SQLServer CREATE and INSERT syntax.
Credits
Setup
Global install
$ npm install -g dbcp
$ dbcp --help
Local setup
$ npm init
$ npm install dbcp
$ ./node_modules/.bin/dbcp --help
Examples
API
Write object stream to any source and format
import { AnyFileSystem } from '@wholebuzz/fs/lib/fs'
import { LocalFileSystem } from '@wholebuzz/fs/lib/local'
import { S3FileSystem } from '@wholebuzz/fs/lib/s3'
import { dbcp } from 'dbcp'
import StreamTree from 'tree-stream'
const fileSystem = new AnyFileSystem([
{ urlPrefix: 's3://', fs: new S3FileSystem() },
{ urlPrefix: '', fs: new LocalFileSystem() }
])
await dbcp({
fileSystem,
targetFile: 's3://foo/bar.jsonl',
sourceStream: StreamTree.readable(levelIteratorStream(leveldb.iterator())),
})
Read object stream from any source and format
import { dbcp, openNullWritable } from 'dbcp'
import { Transform } from 'stream'
await dbcp({
fileSystem,
sourceFiles: [ { url: '/tmp/foobar.csv.gz' } ],
targetStream: [ openNullWritable() ],
transformObject: (x) => { console.log('test', x) },
})
await dbcp({
fileSystem,
sourceFiles: [ { url: '/tmp/foobar.csv.gz' } ],
targetFormat: DatabaseCopyFormat.object,
targetStream: [
StreamTree.writable(new Transform({
objectMode: true,
transform(data, _, cb) {
console.log('test', data)
cb()
},
}))
],
})
CLI
Tested
PASS src/index.test.ts (85.9 s)
✓ Should hash test data as string
✓ Should hash test data stream
✓ Should copy local file
✓ Should read local directory
✓ Should convert to JSON from ND-JSON and back
✓ Should convert to sharded JSON from ND-JSON and back
✓ Should convert to Parquet from ND-JSON and back
✓ Should convert to TFRecord from ND-JSON and back
✓ Should load to level from ND-JSON and dump to JSON after external sort
✓ Should restore to and dump compound data
✓ Should restore to and dump from Elastic Search to ND-JSON
✓ Should restore to and dump from Postgres to ND-JSON
✓ Should restore to and dump from Postgres to SQL
✓ Should not hang on error
✓ Should copy from Postgres to Mysql
✓ Should copy from Postgres to SQL Server
✓ Should dump from Postgres to Parquet file
✓ Should dump from MySQL to Parquet file
✓ Should dump from SQL Server to Parquet file
API Interface
export async function dbcp(args: DatabaseCopyOptions)
export interface DatabaseCopyOptions {
batchSize?: number
columnType?: Record<string, string>
compoundInsert?: boolean
contentType?: string
copySchema?: DatabaseCopySchema
engineOptions?: any
externalSortBy?: string[]
extra?: Record<string, any>
extraOutput?: boolean
fileSystem?: FileSystem
group?: boolean
groupLabels?: boolean
limit?: number
orderBy?: string[]
query?: string
shardBy?: string
schema?: Column[]
schemaFile?: string
sourceConnection?: Record<string, any>
sourceElasticSearch?: Client
sourceFormat?: DatabaseCopyFormat
sourceFiles?: DatabaseCopySourceFile[] | Record<string, DatabaseCopySourceFile>
sourceHost?: string
sourceLevel?: level.LevelDB | LevelUp
sourceName?: string
sourceKnex?: Knex
sourcePassword?: string
sourceShards?: number
sourceStream?: ReadableStreamTree
sourceTable?: string
sourceType?: DatabaseCopySourceType
sourcePort?: number
sourceUser?: string
targetConnection?: Record<string, any>
targetElasticSearch?: Client
targetFormat?: DatabaseCopyFormat
targetFile?: string
targetHost?: string
targetKnex?: Knex
targetLevel?: level.LevelDB | LevelUp
targetName?: string
targetPassword?: string
targetShards?: number
targetStream?: WritableStreamTree[]
targetTable?: string
targetType?: DatabaseCopyTargetType
targetPort?: number
targetUser?: string
tempDirectory?: string
transformObject?: (x: unknown) => unknown
transformObjectStream?: () => Duplex
transformBytes?: (x: string) => string
transformBytesStream?: () => Duplex
where?: Array<string | any[]>
}
CLI Options
$ dbcp --help
cli.js [sourceFile] [targetFile]
Options:
--help Show help [boolean]
--version Show version number [boolean]
--compoundInsert Compound insert mode can insert associated rows from
multiple tables. [boolean]
--contentType Content type [string]
--dataOnly Dump only the data, not the schema (data definitions).
[boolean]
--dbname Database [string]
--externalSortBy Sort data by property(s) with external-sorting [array]
--format
[choices: "csv", "json", "jsonl", "ndjson", "object", "parquet", "tfrecord",
"sql"]
--group Group inputs with equinvalent orderBy [boolean]
--host Database host [string]
--limit Database query LIMIT [number]
--orderBy Database query ORDER BY [array]
--password Database password [string]
--port Database port [string]
--query Query [string]
--schemaFile Use schema file if required, instead of schema inspection.
[string]
--schemaOnly Dump only the object definitions (schema), not data.
[boolean]
--shardBy Shard (or split) the data based on key [string]
--shards The number of shards to split or join the data [number]
--sourceFile Source file [array]
--sourceFormat
[choices: "csv", "json", "jsonl", "ndjson", "object", "parquet", "tfrecord",
"sql"]
--sourceHost Source host [string]
--sourceName Source database [string]
--sourcePassword Source database password [string]
--sourcePort Source database port [string]
--sourceShards Source shards [number]
--sourceTable Source database table [string]
--sourceType Source database type
[string] [choices: "athena", "es", "level", "mssql", "mysql", "postgresql",
"sqlite"]
--sourceUser Source database user [string]
--table Database table [string]
--targetFile Target file [string]
--targetFormat
[choices: "csv", "json", "jsonl", "ndjson", "object", "parquet", "tfrecord",
"sql"]
--targetHost Target host [string]
--targetName Target database [string]
--targetPassword Target database password [string]
--targetPort Target database port [string]
--targetShards Target shards [number]
--targetTable Target database table [string]
--targetType Target database type
[string] [choices: "athena", "es", "level", "mssql", "mysql", "postgresql",
"sqlite"]
--targetUser Target database user [string]
--user Database user [string]
--where Database query WHERE [array]
CLI Examples
Dump PostgreSQL table to Google Cloud Storage gzipped JSON file
$ dbcp \
--sourceType postgresql \
--host localhost \
--dbname postgres \
--port 5433 \
--user postgres \
--password postgres \
--table foobar \
--targetFile gs://bucket/file.json.gz
Dump MySQL table to Amazon Web Services S3 gzipped JSON-Lines file
$ dbcp \
--sourceType mysql \
--host localhost \
--dbname mydb \
--port 8083 \
--user root \
--password wp \
--table foobar \
--format jsonl \
--targetFile s3://bucket/object.jsonl.gz
Dump SQLServer table to gzipped JSON file
$ dbcp \
--sourceType mssql \
--host localhost \
--dbname mymsdb \
--port 1433 \
--user SA \
--password "MyP@ssw0rd#" \
--table foobar \
--targetFile file.json.gz
Copy a file from AWS to GCP
$ dbcp \
--sourceFile s3://bucket/object.json.gz \
--targetFile gs://bucket/file.json.gz
Convert file from ND-JSON to JSON
$ dbcp \
--sourceFile foobar.jsonl \
--targetFile bazbat.json
Download a file
$ dbcp \
--sourceFile "https://www.w3.org/People/mimasa/test/imgformat/img/w3c_home.png" \
--targetFile foo.png
Post a file to HTTP endpoint
$ dbcp \
--contentType "image/png" \
--sourceFile "./foo.png" \
--targetFile "http://my.api/upload"