Migrate from GeoJSON

CockroachDB supports efficiently storing and querying .

This page has instructions for migrating data from the GeoJSON format into CockroachDB using ogr2ogr and .

In the following example, you will import a data set with the locations of underground storage tanks in the state of Vermont (USA).

Before you begin

To follow along with the example below, you will need the following prerequisites:

• CockroachDB and
• ogr2ogr

An ogr2ogr version of 3.1.0 or higher is required to generate data that can be imported into CockroachDB.

• Python 3

• The storage tank GeoJSON data:

  curl -o tanks.geojson https://geodata.vermont.gov/datasets/986155613c5743239e7b1980b45bbf36_162.geojson
  

Step 1. Convert the GeoJSON data to CSV

Convert the GeoJSON data to CSV using the following ogr2ogr command:

ogr2ogr -f CSV tanks.csv -lco GEOMETRY=AS_WKT tanks.geojson

You will import the CSV data into a CockroachDB table.

Step 2. Host the file where the cluster can access it

Each node in the CockroachDB cluster needs to have access to the files being imported. There are several ways for the cluster to access the data; for a complete list of the types of storage can pull from, see .

For local testing, you can . The following command will start a local file server listening on port 3000:

python3 -m http.server 3000

Step 3. Prepare the CockroachDB database

Create a database to hold the storage tank data:

cockroach sql --insecure

CREATE DATABASE IF NOT EXISTS tanks;
USE tanks;

Step 4. Create a CockroachDB table

To import the CSV data, you need to create a table with the necessary columns and data types.

Convert the GeoJSON data to SQL using the following ogr2ogr command:

ogr2ogr -f PGDUMP tanks.sql -lco LAUNDER=NO -lco DROP_TABLE=OFF tanks.geojson

Create a CockroachDB table that corresponds to the DDL statements in tanks.sql:

CREATE TABLE underground_storage_tank (
  wkb_geometry GEOMETRY(POINT) NULL,
  "TankID" INT8 NULL,
  "FacilityID" INT8 NULL,
  "Name" VARCHAR NULL,
  "TankStatus" VARCHAR NULL,
  "TankCapacity" INT8 NULL,
  "YearInstalled" VARCHAR NULL,
  "LastInspDate" TIMESTAMPTZ NULL,
  "Address" VARCHAR NULL,
  "Town" VARCHAR NULL,
  "State" VARCHAR NULL,
  "Zip" VARCHAR NULL,
  "DecLat" FLOAT8 NULL,
  "DecLong" FLOAT8 NULL,
  "DocLink" VARCHAR NULL,
  "ActorName" VARCHAR NULL,
  "PermitExpires" TIMESTAMPTZ NULL
);

Step 5. Import the CSV

Since the file is being served from a local server and is formatted as CSV, you can import the data using the following statement:

IMPORT INTO underground_storage_tank CSV DATA ('http://localhost:3000/tanks.csv') WITH skip = '1';

        job_id       |  status   | fraction_completed | rows | index_entries | bytes
---------------------+-----------+--------------------+------+---------------+---------
  980386389822701569 | succeeded |                  1 | 3256 |             0 | 904102

See also