Migrate from GeoPackage

CockroachDB supports efficiently storing and querying .

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

In the following example, you will import a data set with the locations of bus stops in the cities of Minneapolis and St. Paul, MN (USA) that is made available via gisdata.mn.gov.

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 bus-stop GeoPackage data:

  curl -o gpkg_trans_better_bus_stops.zip https://resources.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_metc/trans_better_bus_stops/gpkg_trans_better_bus_stops.zip && unzip gpkg_trans_better_bus_stops.zip
  

Step 1. Convert the GeoPackage data to CSV

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

ogr2ogr -f CSV busstops.CSV -lco GEOMETRY=AS_WKT trans_better_bus_stops.gpkg

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 bus-stop data:

cockroach sql --insecure

CREATE DATABASE busstops;
USE busstops;

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 GeoPackage data to SQL using the following ogr2ogr command:

ogr2ogr -f PGDUMP busstops.sql -lco LAUNDER=NO -lco DROP_TABLE=OFF trans_better_bus_stops.gpkg

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

CREATE TABLE busstops (
    geom GEOMETRY(POINT) NULL,
    site_ID INT8 NULL,
    site_on VARCHAR NULL,
    site_at VARCHAR NULL,
    corn_desc VARCHAR NULL,
    Completion INT8 NULL,
    Improvemen VARCHAR NULL,
    Improvem_1 VARCHAR NULL,
    Public_Com VARCHAR NULL,
    Project_Na VARCHAR 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 busstops CSV DATA ('http://localhost:3000/busstops.csv') WITH skip = '1';

        job_id       |  status   | fraction_completed | rows | index_entries | bytes
---------------------+-----------+--------------------+------+---------------+---------
  980669141570682881 | succeeded |                  1 |  945 |             0 | 173351

See also