spark-bigquery

This Spark module allows saving DataFrame as BigQuery table.

The project was inspired by spotify/spark-bigquery, but there are several differences:

• JSON is used as an intermediate format instead of Avro. This allows having fields on different levels named the same:

{
  "obj": {
    "data": {
      "data": {}
    }
  }
}

• DataFrame's schema is automatically adapted to a legal one:

  1. Illegal characters are replaced with _
  2. Field names are converted to lower case to avoid ambiguity
  3. Duplicate field names are given a numeric suffix (_1, _2, etc.)

Usage

Including spark-bigquery into your project

Maven

<repositories>
  <repository>
    <id>oss-sonatype</id>
    <name>oss-sonatype</name>
    <url>https://oss.sonatype.org/content/repositories/snapshots/</url>
    <snapshots>
      <enabled>true</enabled>
    </snapshots>
  </repository>
</repositories>

<dependencies>
  <dependency>
    <groupId>com.appsflyer</groupId>
    <artifactId>spark-bigquery_${scala.binary.version}</artifactId>
    <version>0.1.0</version>
  </dependency>
</dependencies>

SBT

resolvers += Opts.resolver.sonatypeSnapshots

libraryDependencies += "com.appsflyer" %% "spark-bigquery" % "0.1.0"

Saving DataFrame using BigQuery Hadoop writer API

import com.appsflyer.spark.bigquery._

val df = ...
df.saveAsBigQueryTable("project-id:dataset-id.table-name")

Saving DataFrame using BigQuery streaming API

import com.appsflyer.spark.bigquery._

val df = ...
df.streamToBigQueryTable("project-id:dataset-id.table-name")

Notes on using this API:

• Target data set must already exist

License

Copyright 2016 Appsflyer.

Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0