THIS IS FORK

This library is written by Katsunori Kanda (github.com/potix2) and all prises for it should go to him.

This fork is ment to be usable in Scala 2.12 and Spark 3.0.1 which is now LTS version for Databricks platform.

Spark Google Spreadsheets

Google Spreadsheets datasource for SparkSQL and DataFrames

Notice

The version 0.4.0 breaks compatibility with previous versions. You must use a ** spreadsheetId ** to identify which spreadsheet is to be accessed or altered. In older versions, spreadsheet name was used.

If you don't know spreadsheetId, please read the Introduction to the Google Sheets API v4.

Requirements

This library supports different versions of Spark:

Latest compatible versions

This library	Spark Version
0.7.x	3.0.1
0.6.x	2.3.x, 2.4.x
0.5.x	2.0.x
0.4.x	1.6.x

Linking

Using SBT:

libraryDependencies += "com.github.perbeatus" %% "spark-google-spreadsheets" % "0.7.0"

Using Maven:

<dependency>
  <groupId>com.github.perbeatus</groupId>
  <artifactId>spark-google-spreadsheets_2.12</artifactId>
  <version>0.7.0</version>
</dependency>

SQL API

CREATE TABLE cars
USING com.github.perbeatus.spark.google.spreadsheets
OPTIONS (
    path "<spreadsheetId>/worksheet1",
    serviceAccountId "xxxxxx@developer.gserviceaccount.com",
    credentialPath "/path/to/credential.p12"
)

Scala API

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)

// Creates a DataFrame from a specified worksheet
val df = sqlContext.read.
    format("com.github.perbeatus.spark.google.spreadsheets").
    option("serviceAccountId", "xxxxxx@developer.gserviceaccount.com").
    option("credentialPath", "/path/to/credential.p12").
    load("<spreadsheetId>/worksheet1")

// Saves a DataFrame to a new worksheet
df.write.
    format("com.github.perbeatus.spark.google.spreadsheets").
    option("serviceAccountId", "xxxxxx@developer.gserviceaccount.com").
    option("credentialPath", "/path/to/credential.p12").
    save("<spreadsheetId>/newWorksheet")

Using Google default application credentials

Provide authentication credentials to your application code by setting the environment variable GOOGLE_APPLICATION_CREDENTIALS. The variable should be set to the path of the service account json file.

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)

// Creates a DataFrame from a specified worksheet
val df = sqlContext.read.
    format("com.github.perbeatus.spark.google.spreadsheets").
    load("<spreadsheetId>/worksheet1")

More details: https://cloud.google.com/docs/authentication/production

License

Copyright 2016-2018, Katsunori Kanda

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.