InfluxDB
Installation
- Install InfluxDB | InfluxDB OSS v2 Documentation (influxdata.com)
- Download: https://portal.influxdata.com/downloads/
Install Influx DB
# Red Hat/CentOS/Fedora
cat <<EOF | sudo tee /etc/yum.repos.d/influxdata.repo
[influxdata]
name = InfluxData Repository - Stable
baseurl = https://repos.influxdata.com/stable/\$basearch/main
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdata-archive_compat.key
EOF
yum install influxdb2
# With Docker
# --reporting-disabled 停用回傳使用報告
mkdir data
docker run \
--name influxdb \
-p 8086:8086 \
--volume $PWD/data:/var/lib/influxdb2 \
influxdb:2.7.4 --reporting-disabled
Install Influx CLI
從 InfluxDB 2.1 開始,influx CLI 與 influxDB 分開安裝與開發。
Download: Install and use the influx CLI | InfluxDB OSS 2.7 Documentation (influxdata.com)
# amd64
wget https://dl.influxdata.com/influxdb/releases/influxdb2-client-2.7.1-linux-amd64.tar.gz
tar xvzf path/to/influxdb2-client-2.7.1-linux-amd64.tar.gz
mv influx /usr/local/bin/
Start the service
systemctl start influxdb
systemctl status influxdb
systemctl enable influxdb
Set up and initialize DB (v2.7+)
- Visit
localhost:8086
in a browser - Create a user, bucket and organization names.
- Initial username
- Password
- Initial organization name
- Initial bucket name
- The API Tokens will be generated.
- Copy the generated token and store it for safe keeping.
InfluxDB configuration
file: /etc/influxdb/config.{toml,yaml,yml,json}
# View the server configurations
influx server-config
config.toml:
/var/lib/influxdb/engine
資料儲存目錄
bolt-path = "/var/lib/influxdb/influxd.bolt"
engine-path = "/var/lib/influxdb/engine"
Optional: With Docker
docker run \
--rm influxdb:2.7.4 \
influx server-config > config.yml
docker run -p 8086:8086 \
-v $PWD/config.yml:/etc/influxdb2/config.yml \
-v $PWD/data:/var/lib/influxdb2 \
influxdb:2.7.4
Set up the influx CLI (v2.7+)
為了避免每次執行 influx
CLI 指令時,需要重複做認證,透過 config create
可以將認證資訊儲存。
# Create config
influx config create --config-name <config-name> \
--host-url http://localhost:8086 \
--org <your-org> \
--token <your-auth-token> \
--active
influx config ls
# Enter InfluxQL shell
influx v1 shell
> show databases
> quit
# View the server configuration
influx server-config
Schema Design
official tutorial: InfluxDB schema design
Data Elements
- timstamp
- measurement
- tag key
- tag value
- field key
- field value
Where to store data (tag or field)
tag value
- 資料型式只能是 string
- 資料長度不宜過長
- 資料唯一性的筆數不宜過多
field value
- 資料型式可以是 strings, floats, integers, or boolean
- 如果是 Strings,寫入資料時必須包含雙引號
- 如果是 Integer,寫入數值的最後要加上
i
- 不支援 GROUP BY 的查詢語法
- 適合儲存唯一性的資料
- 一次寫入多筆資料時,每筆的所有 field value 的組合不可有重複,否則會寫入失敗。
- field 資料不會有 index,如果查詢的語法用到 field,效率會很差。
含空白字元
# Measurement name with spaces
my\ Measurement fieldKey="string value"
# Double quotes in a string field value
myMeasurement fieldKey="\"string\" within a string"
# Tag keys and values with spaces
myMeasurement,tag\ Key1=tag\ Value1,tag\ Key2=tag\ Value2 fieldKey=100
名稱的限制
Measurement names, tag keys, and field keys 名稱不能用 _
開頭。
Management
Service
systemctl start influxdb
systemctl enable influxdb
systemctl stop influxdb
InfluxDB v2.7
# InfluxQL shell
influx v1 shell
> show databases
> quit
# User management
influx user ls
## Create user
influx user create -n <username> -p <password> -o <org-name>
## Delete user
influx user delete -i <user-id>
# Bucket management
influx bucket ls
influx bucket ls -n <bucket-name>
influx bucket delete -n <bucket-name>
## Rename the bucket
influx bucket update -i <bucket-id> --name <new-bucket-name>
## Update the retention
influx bucket update -i <bucket-id> --retention 90d
# Token management
influx auth ls
Case: 新增一個帳號 vmware 與 token 可以讀寫 bucket vmware
# Create a user for the Org windbs
influx user create -n vmware -o windbs
influx user password -n vmware
# Create a token for the User vmware and <bucket-id>
influx auth create \
--org windbs \
--read-bucket 299f5d260eab27cc \
--write-bucket 299f5d260eab27cc \
--user vmware \
--description "vmware's token"
InfluxDB v1.8
Create a new user and database
influx
> CREATE USER admin WITH PASSWORD 'adminpass' WITH ALL PRIVILEGES
> exit
influx -username admin -password adminpass
> set password for admin = 'newpass'
>
> create database mmap_nmon with duration 180d
> create user mon with password 'thisispassword'
> grant ALL on mmap_nmon to mon
> show GRANTS for mon
Login to InfluxDB
# In the shell
influx -username admin -password thisispass
# In the InfluxDB CLI
> auth
username:
password
Logs (v2.7+)
journalctl -u influxdb
journalctl -n 50 -f -u influxdb
Configure log level
Level: debug, info (default), error
/etc/influxdb/config.toml:
log-level = "info"
Enable the Flux query log
/etc/influxdb/config.toml:
flux-log-enabled = true
Flux (v2.x)
2024/1/24 更新: Flux language 已經進入維護階段,未來版本會以 InfluxQL 與 core SQL 為主要查詢引擎。
要使用新版 Flux language 查詢資料,最好的方式是使用 Web 介面 Data Explorer。
List buckets
buckets()
List all measurements in a bucket
import "influxdata/influxdb/schema"
schema.measurements(bucket: "example-bucket")
List field keys
import "influxdata/influxdb/schema"
schema.fieldKeys(bucket: "example-bucket")
List fields in a measurement
import "influxdata/influxdb/schema"
schema.measurementFieldKeys(
bucket: "example-bucket",
measurement: "example-measurement",
)
import "influxdata/influxdb/schema"
schema.measurementTagKeys(
bucket: "example-bucket",
measurement: "example-measurement",
)
Filter by fields and tags
from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) => r._measurement == "example-measurement-name" and r.mytagname == "example-tag-value")
|> filter(fn: (r) => r._field == "example-field-name")
控制輸出筆數
|> first()
|> last()
|> limit(n: 3)
InfluxQL (v1.x)
> show databases
name: databases
name
----
_internal
nmon_reports
nmon2influxdb_log
> show users
user admin
---- -----
admin true
mon false
> use nmon_reports
Using database nmon_reports
> show measurements
name: measurements
name
----
CPU_ALL
DISKAVGRIO
DISKAVGWIO
DISKBSIZE
DISKBUSY
DISKREAD
DISKREADSERV
DISKRIO
DISKRXFER
DISKSERV
...
Retention Policy
# for current database
> show retention policies
name duration shardGroupDuration replicaN default
---- -------- ------------------ -------- -------
autogen 8760h0m0s 168h0m0s 1 true
# for specified database
> show retention policies on nmon2influxdb_log
name duration shardGroupDuration replicaN default
---- -------- ------------------ -------- -------
autogen 0s 168h0m0s 1 false
log_retention 48h0m0s 24h0m0s 1 true
# Create a policy
> CREATE RETENTION POLICY "one_day_only" ON "NOAA_water_database" DURATION 1d REPLICATION 1
# Alter the policy
> ALTER RETENTION POLICY "what_is_time" ON "NOAA_water_database" DURATION 3w SHARD DURATION 2h DEFAULT
# Delete a policy
> DROP RETENTION POLICY "what_is_time" ON "NOAA_water_database"
Verify the account
curl -G http://localhost:8086/query -u mon:thisispassword --data-urlencode "q=SHOW DATABASES"
{"results":[{"statement_id":0,"series":[{"name":"databases","columns":["name"],"values":[["mmap_nmon"]]}]}]}
查詢表資訊
SHOW MEASUREMENTS --查詢當前資料庫中含有的表
SHOW FIELD KEYS --查看當前資料庫所有表的欄位
show field keys from <measurement-name>
SHOW series from pay --查看key數據
SHOW TAG KEYS FROM "pay" --查看key中tag key值
SHOW TAG VALUES FROM "pay" WITH KEY = "merId" --查看key中tag 指定key值對應的值
SHOW TAG VALUES FROM cpu WITH KEY IN ("region", "host") WHERE service = 'redis'
DROP SERIES FROM WHERE ='' --刪除key
SHOW CONTINUOUS QUERIES --查看連續執行命令
SHOW QUERIES --查看最後執行命令
KILL QUERY --結束命令
SHOW RETENTION POLICIES ON mydb --查看保留數據
show series cardinality on mydb --資料庫總筆數
查詢資料
SELECT * FROM /.*/ LIMIT 1 --查詢當前資料庫下所有表的第一行記錄
select * from pay order by time desc limit 2
select * from db_name."POLICIES name".measurement_name --指定查詢資料庫下資料保留中的表資料 POLICIES name資料保留
刪除資料
delete from "query" --刪除表所有資料,則表就不存在了
drop MEASUREMENT "query" --刪除表(注意會把資料保留刪除使用delete不會)
DELETE FROM cpu
DELETE FROM cpu WHERE time < '2000-01-01T00:00:00Z'
DELETE WHERE time < '2000-01-01T00:00:00Z'
DROP DATABASE “testDB” --刪除資料庫
DROP RETENTION POLICY "dbbak" ON mydb --刪除保留資料為dbbak資料
DROP SERIES from pay where tag_key='' --刪除key中的tag
函數使用
- mean: 平均值
- sum: 總和
- min: 最小值
- max: 最大值
- count: 總個數
- difference: 差異數 (前後筆資料的比較)
- non_negative_difference: 正差異數 (前後筆資料的比較)
select * from pay order by time desc limit 2
select mean(allTime) from pay where time >= today() group by time(10m) time_zone(+8)
select * from pay time_zone(+8) limit 2
SELECT sum(allTime) FROM "pay" WHERE time > now() - 10s
select count(allTime) from pay where time > now() - 10m group by time(1s)
select difference("commit_sql") from "snapdb2" where time > now() - 1h limit 10
select non_negative_difference(*) from "snapdb2" where time > now() - 1h limit 10
select non_negative_difference(/commit_sql|rollback_sql/) from "snapdb2" where time > now() - 1h limit 10
User and Privileges
> CREATE USER "todd" WITH PASSWORD '123456'
> SHOW GRANTS for "todd"
> SET PASSWORD FOR "todd" = 'newpassword'
> GRANT READ ON "NOAA_water_database" TO "todd"
> GRANT ALL ON "NOAA_water_database" TO "todd"
> REVOKE ALL PRIVILEGES FROM "todd"
> REVOKE ALL ON "NOAA_water_database" FROM "todd"
> REVOKE WRITE ON "NOAA_water_database" FROM "todd"
> DROP USER "todd"
Covert timestamp to normal datetime
influx -precision rfc3339
# Or, in CLI
> precision rfc3339
Convert InfluxData to csv format
# With CLI
# There is also useful -precision option to set format of timestamp.
influx -database 'database_name' -execute "SELECT * FROM table_name" -format csv > test.csv
influx -username your_user_if_any -password "secret!" -database 'db_name' -host 'localhost' -execute 'SELECT * FROM "db_name"."your_retention_policy_or_nothing"."your_measurement_name" WHERE time > '\''2017-09-05'\'' and time < '\''2017-09-05T23:59:59Z'\'' AND other_conditions_if_required' -format 'csv' > /tmp/your_measurement_name_20170905.csv
# With HTTP-API
# Samples:
# "q=SELECT * FROM \"mymeasurement\" where time > now() - 130d"
# "q=SELECT * FROM \"mymeasurement\" where (time < now() - 130d) and (time > now() - 260d)"
curl -G 'http://localhost:8086/query' --data-urlencode "db=mydb" --data-urlencode "epoch=#timeunit" --data-urlencode "q=SELECT * FROM \"mymeasurement\" " -H "Accept: application/csv" > mytargetcsv.csv
Tag Query
> show tag values from {measurement} with key={key}
> show tag values from {measurement} with key={key} where {tag-key}={tag-value}
Learning
- [Influxdb] influxdb命令使用
- Use Grafana with InfluxDB v1.8 | InfluxDB OSS 1.8 Documentation (influxdata.com)
- Setting up InfluxDB v2 (Flux) with InfluxQL in Grafana | by Ivana Huckova | Medium