Return

Deploying Databend on Your Laptop in Minutes

June 9, 2022 · 2 min read

Eric

A quick Databend deployment guide


Deploying Databend on Your Laptop in Minutes

Deploying a data warehouse sounds like a big job to you? Definitely NOT. Databend can be deployed to your laptop and uses the local file system as storage. You can complete the deployment in a few minutes even if you're new to Databend. Now let's get started!

Databend requires a scalable storage (for example, object storage) to work. This blog uses local file system to provide you a hands-on experience. Never use a local file system as storage for production purposes.

STEP 1. Downloading Databend

a. Create a folder named databend in the directory /usr/local. Then create the following subfolders in the folder databend:

  • bin
  • data
  • etc
  • logs

b. Download and extract the latest Databend package for your platform from https://github.com/datafuselabs/databend/releases.

c. Move the extracted files databend-meta and databend-query to the folder /usr/local/databend/bin.

STEP 2. Deploying a Standalone databend-meta

a. Create a file named databend-meta.toml in the folder /usr/local/databend/etc with the following content:

dir = "metadata/_logs"
admin_api_address = "127.0.0.1:8101"
grpc_api_address = "127.0.0.1:9101"

[raft_config]
id = 1
single = true
raft_dir = "metadata/datas"

b. Open a terminal window and navigate to the folder /usr/local/databend/bin.

c. Run the following command to start databend-meta:

./databend-meta -c ../etc/databend-meta.toml > meta.log 2>&1 &

d. Run the following command to check if databend-meta was started successfully:

curl -I  http://127.0.0.1:8101/v1/health

STEP 3. Deploying a Standalone databend-query

a. Create a file named databend-query.toml in the folder /usr/local/databend/etc with the following content:

[log]
level = "INFO"
dir = "benddata/_logs"

[query]
# For admin RESET API.
admin_api_address = "127.0.0.1:8001"

# Metrics.
metric_api_address = "127.0.0.1:7071"

# Cluster flight RPC.
flight_api_address = "127.0.0.1:9091"

# Query MySQL Handler.
mysql_handler_host = "127.0.0.1"
mysql_handler_port = 3307


# Query HTTP Handler.
http_handler_host = "127.0.0.1"
http_handler_port = 8081

tenant_id = "tenant1"
cluster_id = "cluster1"

[meta]
address = "127.0.0.1:9101"
username = "root"
password = "root"

[storage]
# s3
type = "fs"

[storage.fs]
data_path = "benddata/datas"

b. Open a terminal window and navigate to the folder /usr/local/databend/bin.

c. Run the following command to start databend-meta:

./databend-query -c ../etc/databend-query.toml > query.log 2>&1 &

d. Run the following command to check if databend-meta was started successfully:

curl -I  http://127.0.0.1:8001/v1/health

There you go! You have successfully deployed Databend on your computer. If you have a SQL client on your computer, try the steps below to verify the deployment:

a. Create a connection to 127.0.0.1 from your SQL client. In the connection, set the port to 3307, and set the username to root.

b. Run the following commands to check if the query is successful:

CREATE TABLE t1(a int);

INSERT INTO t1 VALUES(1), (2);

SELECT * FROM t1;

🎈Connect With Us

Databend is a cutting-edge, open-source cloud-native warehouse built with Rust, designed to handle massive-scale analytics.

Join the Databend Community to try, get help, and contribute!