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docker-spark-geolake's Introduction

Spark + Geolake Quickstart Image

This is a dokcer environment to quickly get up a geolake service with

  • a JDBC catalog (Postgres)
  • a computing engine(Spark 3.3)
  • a storage backend(local file system)

Geolake is built on top of Apache Iceberg, this project was also borrowed from docker-spark-iceberg.

Start

docker compose up

Open http://localhost:8888 in browser, there are 2 notebooks inside :

  • geolake-scala-demo: shows an example of how to use geolake scala api to read/write data from/to geolake.

  • benchmark-portotaxi: this notebook runs a benchmark on portotaxi dataset which has 1.7M records. You will see the reading/writing performance of the 3 Parquet format(GeoLake Parqeut, GeoParquet, GeoParquet(bbox)) for spatial data. You will also see how the partition reolution parameter affects the performance.

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