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!