Zabbix Database Partitioning Guide (Python based)
This guide describes how to set up and manage database partitioning for Zabbix using the zabbix_partitioning.py script.
Overview
The script manages MySQL table partitions based on time (Range Partitioning on the clock column). It automatically:
- Creates future partitions to ensure new data can be written.
- Drops old partitions based on configured retention periods.
Benefits:
- Performance: Faster cleanup of old data (dropping a partition is instantaneous compared to Zabbix internal housekeeping).
- Recommended: For database bigger than 100GB.
- Must have!: For database bigger than 500G.
Warning
Support for MySQL/MariaDB only. Always BACKUP your database before initializing partitioning!
1. Prerequisites
- Python 3.6+
- Python Libraries:
pymysql,pyyaml# Debian/Ubuntu sudo apt install python3-pymysql python3-yaml # RHEL/AlmaLinux/Rocky sudo dnf install python3-pymysql python3-pyyaml # Or via pip pip3 install pymysql pyyaml - Database Permissions: The user configured in the script needs:
SELECT,INSERT,CREATE,DROP,ALTERon the Zabbix database.SUPERorSESSION_VARIABLES_ADMINprivilege (required to disable binary logging viaSET SESSION sql_log_bin=0ifreplicate_sql: False).
2. Installation
- Copy the script and config to a precise location (e.g.,
/usr/local/binor specialized directory).mkdir -p /opt/zabbix_partitioning cp zabbix_partitioning.py /opt/zabbix_partitioning/ cp zabbix_partitioning.conf /etc/zabbix/ chmod +x /opt/zabbix_partitioning/zabbix_partitioning.py
3. Configuration
Edit /etc/zabbix/zabbix_partitioning.conf:
database:
host: localhost
user: zbx_part
passwd: YOUR_PASSWORD
db: zabbix
# port: 3306 # Optional, default is 3306
partitions:
daily:
- history: 14d
- history_uint: 14d
- trends: 365d
# ... add other options as needed. Please check the config file for more options.
Configuration Parameters
-
partitions: Defines your retention policy globally.- Syntax:
period: [ {table: retention_period}, ... ] daily: Partitions are created for each day.weekly: Partitions are created for each week.monthly: Partitions are created for each month.yearly: Partitions are created for each year.- Retention Format:
14d(days),12w(weeks),12m(months),1y(years).
- Syntax:
-
initial_partitioning_start: Controls how the very FIRST partition is determined during initialization (--initmode).db_min: (Default) Queries the table for the oldest record (MIN(clock)). Accurate but slow on large tables.retention: (Recommended for large DBs) Skips the query. Calculates the start date asNow - Retention Period. Creates a singlep_archivepartition for all data older than that date.
-
premake: Number of future partitions to create in advance.- Default:
10. Ensures you have a buffer if the script fails to run for a few days.
- Default:
-
replicate_sql: Controls MySQL Binary Logging for partitioning commands.False: (Default) Disables binary logging (SET SESSION sql_log_bin = 0). Partition creation/dropping is NOT replicated to slaves. Useful if you want to manage partitions independently on each node or avoid replication lag storms.True: Commands are replicated. Use this if you want absolute schema consistency across your cluster automatically.
-
auditlog:- In Zabbix 7.0+, the
auditlogtable does not have theclockcolumn in its Primary Key by default. Do not add it to the config unless you have manually altered the table schema.
- In Zabbix 7.0+, the
4. Zabbix Preparation (CRITICAL)
Before partitioning, you must disable Zabbix's internal housekeeping for the tables you intend to partition. If you don't, Zabbix will try to delete individual rows while the script tries to drop partitions, causing conflicts.
- Log in to Zabbix Web Interface.
- Go to Administration -> General -> Housekeeping.
- Uncheck the following (depending on what you partition):
- Enable internal housekeeping for History
- Enable internal housekeeping for Trends
- Click Update.
5. Initialization
This step converts existing standard tables into partitioned tables.
-
Dry Run (Verify what will happen):
/opt/zabbix_partitioning/zabbix_partitioning.py --init --dry-runCheck the output for any errors.
-
Execute Initialization:
/opt/zabbix_partitioning/zabbix_partitioning.py --initThis may take time depending on table size.
6. Automation (Cron Job)
Set up a daily cron job to create new partitions and remove old ones.
- Open crontab:
crontab -e - Add the line (run daily at 00:30):
30 0 * * * /usr/bin/python3 /opt/zabbix_partitioning/zabbix_partitioning.py -c /etc/zabbix/zabbix_partitioning.conf >> /var/log/zabbix_partitioning.log 2>&1
7. Automation (Systemd Timer) — Recommended
Alternatively, use systemd timers for more robust scheduling and logging.
-
Create Service Unit (
/etc/systemd/system/zabbix-partitioning.service):[Unit] Description=Zabbix Database Partitioning Service After=network.target mysql.service [Service] Type=oneshot User=root ExecStart=/usr/bin/python3 /opt/zabbix_partitioning/zabbix_partitioning.py -c /etc/zabbix/zabbix_partitioning.conf -
Create Timer Unit (
/etc/systemd/system/zabbix-partitioning.timer):[Unit] Description=Run Zabbix Partitioning Daily [Timer] OnCalendar=*-*-* 00:30:00 Persistent=true [Install] WantedBy=timers.target -
Enable and Start:
systemctl daemon-reload systemctl enable --now zabbix-partitioning.timer -
View Logs:
journalctl -u zabbix-partitioning.service
8. Troubleshooting
- Connection Refused: Check
host,portin config. Ensure MySQL is running. - Access Denied (1227): The DB user needs
SUPERprivileges to disable binary logging (replicate_sql: False). Either grant the privilege or setreplicate_sql: True(if replication load is acceptable). - Primary Key Error: "Primary Key does not include 'clock'". The table cannot be partitioned by range on
clockwithout schema changes. Remove it from config.
9. Docker Usage
You can run the partitioning script as a stateless Docker container. This is ideal for Kubernetes CronJobs or environments where you don't want to manage Python dependencies on the host.
9.1 Build the Image
The image is not yet published to a public registry, so you must build it locally:
cd /opt/git/Zabbix/partitioning
docker build -t zabbix-partitioning -f docker/Dockerfile .
9.2 Operations
The container uses entrypoint.py to auto-generate the configuration file from Environment Variables at runtime.
Scenario A: Dry Run (Check Configuration)
Verify that your connection and retention settings are correct without making changes.
docker run --rm \
-e DB_HOST=10.0.0.5 -e DB_USER=zabbix -e DB_PASSWORD=secret \
-e RETENTION_HISTORY=7d \
-e RETENTION_TRENDS=365d \
-e RUN_MODE=dry-run \
zabbix-partitioning
Scenario B: Initialization (First Run)
Convert your existing tables to partitioned tables.
Warning
Ensure backup exists and Zabbix Housekeeper is disabled!
docker run --rm \
-e DB_HOST=10.0.0.5 -e DB_USER=zabbix -e DB_PASSWORD=secret \
-e RETENTION_HISTORY=14d \
-e RETENTION_TRENDS=365d \
-e RUN_MODE=init \
zabbix-partitioning
Scenario C: Daily Maintenance (Cron/Scheduler)
Run this daily (e.g., via K8s CronJob) to create future partitions and drop old ones.
docker run --rm \
-e DB_HOST=10.0.0.5 -e DB_USER=zabbix -e DB_PASSWORD=secret \
-e RETENTION_HISTORY=14d \
-e RETENTION_TRENDS=365d \
zabbix-partitioning
Scenario D: Custom Overrides
You can override the retention period for specific tables or change their partitioning interval.
Example: Force history_log to be partitioned Weekly with 30-day retention.
docker run --rm \
-e DB_HOST=10.0.0.5 \
-e RETENTION_HISTORY=7d \
-e PARTITION_WEEKLY_history_log=30d \
zabbix-partitioning
Scenario E: SSL Connection
Mount your certificates and provide the paths.
docker run --rm \
-e DB_HOST=zabbix-db \
-e DB_SSL_CA=/certs/ca.pem \
-e DB_SSL_CERT=/certs/client-cert.pem \
-e DB_SSL_KEY=/certs/client-key.pem \
-v /path/to/local/certs:/certs \
zabbix-partitioning
9.3 Supported Environment Variables
| Variable | Default | Description |
|---|---|---|
DB_HOST |
localhost | Database hostname |
DB_PORT |
3306 | Database port |
DB_USER |
zabbix | Database user |
DB_PASSWORD |
zabbix | Database password |
DB_NAME |
zabbix | Database name |
DB_SSL_CA |
- | Path to CA Certificate |
DB_SSL_CERT |
- | Path to Client Certificate |
DB_SSL_KEY |
- | Path to Client Key |
RETENTION_HISTORY |
14d | Retention for history* tables |
RETENTION_TRENDS |
365d | Retention for trends* tables |
RETENTION_AUDIT |
365d | Retention for auditlog (if enabled) |
ENABLE_AUDITLOG_PARTITIONING |
false | Set to true to partition auditlog |
RUN_MODE |
maintenance | init, maintenance, dry-run, discovery, check |
CHECK_TARGET |
- | Required if RUN_MODE=check. Table name to check (e.g. history). |
PARTITION_DAILY_[TABLE] |
- | Custom daily retention (e.g., PARTITION_DAILY_mytable=30d) |
PARTITION_WEEKLY_[TABLE] |
- | Custom weekly retention |
PARTITION_MONTHLY_[TABLE] |
- | Custom monthly retention |
Scenario F: Monitoring (Discovery)
Output Zabbix LLD JSON for table discovery.
docker run --rm \
-e DB_HOST=zabbix-db \
-e RUN_MODE=discovery \
zabbix-partitioning
Scenario G: Monitoring (Health Check)
Check days remaining for a specific table (e.g., history). Returns integer days.
docker run --rm \
-e DB_HOST=zabbix-db \
-e RUN_MODE=check \
-e CHECK_TARGET=history \
zabbix-partitioning
10. Monitoring
The script includes built-in features for monitoring the health of your partitions via Zabbix.
10.1 CLI Usage
- Discovery (LLD):
./zabbix_partitioning.py --discovery # Output: [{"{#TABLE}": "history", "{#PERIOD}": "daily"}, ...] - Check Days:
./zabbix_partitioning.py --check-days history # Output: 30 (integer days remaining) - Version:
./zabbix_partitioning.py --version # Output: zabbix_partitioning.py 0.3.1-test
10.2 Zabbix Template
A Zabbix 7.0 template is provided: zabbix_partitioning_template.yaml.
Setup:
- Import the YAML template into Zabbix.
- Install the script on the Zabbix Server or Proxy.
- Add the
UserParametercommands to your Zabbix Agent config (see Template description). - Link the template to the host running the script.
Features:
- Discovery: Automatically finds all partitioned tables.
- Triggers: Alerts if a table has less than 3 days of future partitions pre-created.
- Log Monitoring: Alerts on script execution failures.