This repository contains code and documentation for use with Google Cloud Dataproc.

• codelabs/opencv-haarcascade provides the source code for the OpenCV Dataproc Codelab, which demonstrates a Spark job that adds facial detection to a set of images.
• codelabs/spark-bigquery provides the source code for the PySpark for Preprocessing BigQuery Data Codelab, which demonstrates using PySpark on Cloud Dataproc to process data from BigQuery.
• codelabs/spark-nlp provides the source code for the PySpark for Natural Language Processing Codelab, which demonstrates using spark-nlp library for Natural Language Processing.
• notebooks/python provides example Jupyter notebooks to demonstrate using PySpark with the BigQuery Storage Connector and the Spark GCS Connector
• spark-tensorflow provides an example of using Spark as a preprocessing toolchain for Tensorflow jobs. Optionally, it demonstrates the spark-tensorflow-connector to convert CSV files to TFRecords.
• spark-translate provides a simple demo Spark application that translates words using Google's Translation API and running on Cloud Dataproc.

See each directories README for more information.

You can find more Dataproc resources in these github repositories:

• Dataproc initialization actions
• GCP Token Broker
• Dataproc Custom Images
• Dataproc Spawner

• Hadoop/Spark GCS Connector
• Spark BigQuery Connector
• Hadoop BigQuery Connector
• Spark Pubsub Connector
• Spark Spanner Connector
• Hive Bigquery Storage Handler

• Spark kubernetes operator
• Flink kubernetes operator

• Dataproc Python examples
• Dataproc Pubsub Spark Streaming example
• Dataproc Java Bigtable sample
• Dataproc Spark-Bigtable samples

For more information, review the Dataproc documentation. You can also pose questions to the Stack Overflow community with the tag google-cloud-dataproc. See our other Google Cloud Platform github repos for sample applications and scaffolding for other frameworks and use cases.

• See CONTRIBUTING.md

• See LICENSE