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Deploy Databend With AWS S3

tip

Expected deployment time: 5 minutes ⏱

This guideline will deploy Databend(standalone) with AWS S3 step by step.

1. Download

You can find the latest binaries on the github release page or build from source.

mkdir databend && cd databend
curl -LJO https://github.com/datafuselabs/databend/releases/download/v0.7.26-nightly/databend-v0.7.26-nightly-x86_64-unknown-linux-musl.tar.gz
tar xzvf databend-v0.7.26-nightly-x86_64-unknown-linux-musl.tar.gz

2. Deploy databend-meta (Standalone)

databend-meta is a global service for the meta data(such as user, table schema etc.).

2.1 Create databend-meta.toml

databend-meta.toml
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"

2.2 Start the databend-meta

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

2.3 Check databend-meta

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

Check the response is HTTP/1.1 200 OK.

3. Deploy databend-query (Standalone)

3.1 Create databend-query.toml

databend-query.toml
[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 ClickHouse Handler.
clickhouse_handler_host = "127.0.0.1"
clickhouse_handler_port = 9001

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

tenant_id = "tenant1"
cluster_id = "cluster1"

[meta]
meta_address = "127.0.0.1:9101"
meta_username = "root"
meta_password = "root"

[storage]
# fs|s3
type = "s3"

[storage.fs]

[storage.s3]
bucket = "databend"
endpoint_url = "https://s3.amazonaws.com"
access_key_id = "<your-key-id>"
secret_access_key = "<your-access-key>"

[storage.azblob]

3.2 Start databend-query

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

3.3 Check databend-query

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

Check the response is HTTP/1.1 200 OK.

4. Play

mysql -h127.0.0.1 -uroot -P3307 
CREATE TABLE t1(a INT);
INSERT INTO t1 VALUES(1), (2);
SELECT * FROM t1
+------+
| a |
+------+
| 1 |
| 2 |
+------+