A Kafka consumer for InfluxDB
Project description
Quick start
To see the tool in action, you can start a complete CollectD -> Kafka -> kafka_influxdb -> Influxdb setup with the following command:
docker-compose up
This will immediately start reading messages from Kafka and write them into InfluxDB. Open the InfluxDB Admin Interface at http://<docker_host_ip>:8083 and type SHOW MEASUREMENTS to see the output. (<docker_host_ip> is probably localhost on Linux. On Mac you can find out with boot2docker ip or docker-machine ip).
Run on your local machine
If you want to run a local instance, you can do so with the following commands:
pip install kafka_influxdb # Create a config.yaml like the one in this repository kafka_influxdb -c config.yaml
Benchmark
You can use the built-in benchmark tool for performance measurements:
python kafka-influxdb.py -b
By default this will write 1.000.000 sample messages into the benchmark Kafka topic. After that it will consume the messages again to measure the throughput. Sample output using the above Docker setup inside a virtual machine:
Flushing output buffer. 10811.29 messages/s Flushing output buffer. 11375.65 messages/s Flushing output buffer. 11930.45 messages/s Flushing output buffer. 11970.28 messages/s Flushing output buffer. 11016.74 messages/s Flushing output buffer. 11852.67 messages/s Flushing output buffer. 11833.07 messages/s Flushing output buffer. 11599.32 messages/s Flushing output buffer. 11800.12 messages/s Flushing output buffer. 12026.89 messages/s Flushing output buffer. 12287.26 messages/s Flushing output buffer. 11538.44 messages/s
Supported formats
Input formats
Collectd Graphite, e.g. “mydatacenter.myhost.load.load.shortterm 0.45 1436357630”
Output formats
InfluxDB 0.9 line protocol output (e.g. load_load_shortterm,datacenter=mydatacenter,host=myhost value="0.45" 1436357630)
InfluxDB 0.8 JSON output (deprecated)
Configuration
usage: kafka_influxdb.py [-h] [--kafka_host KAFKA_HOST] [--kafka_port KAFKA_PORT] [--kafka_topic KAFKA_TOPIC] [--kafka_group KAFKA_GROUP] [--influxdb_host INFLUXDB_HOST] [--influxdb_port INFLUXDB_PORT] [--influxdb_user INFLUXDB_USER] [--influxdb_password INFLUXDB_PASSWORD] [--influxdb_dbname INFLUXDB_DBNAME] [--influxdb_retention_policy INFLUXDB_RETENTION_POLICY] [--influxdb_time_precision INFLUXDB_TIME_PRECISION] [--encoder ENCODER] [--buffer_size BUFFER_SIZE] [-c CONFIGFILE] [-s] [-b] [-v] optional arguments: -h, --help show this help message and exit --kafka_host KAFKA_HOST Hostname or IP of Kafka message broker (default: localhost) --kafka_port KAFKA_PORT Port of Kafka message broker (default: 9092) --kafka_topic KAFKA_TOPIC Topic for metrics (default: my_topic) --kafka_group KAFKA_GROUP Kafka consumer group (default: my_group) --influxdb_host INFLUXDB_HOST InfluxDB hostname or IP (default: localhost) --influxdb_port INFLUXDB_PORT InfluxDB API port (default: 8086) --influxdb_user INFLUXDB_USER InfluxDB username (default: root) --influxdb_password INFLUXDB_PASSWORD InfluxDB password (default: root) --influxdb_dbname INFLUXDB_DBNAME InfluXDB database to write metrics into (default: metrics) --influxdb_retention_policy INFLUXDB_RETENTION_POLICY Retention policy for incoming metrics (default: default) --influxdb_time_precision INFLUXDB_TIME_PRECISION Precision of incoming metrics. Can be one of 's', 'm', 'ms', 'u' (default: s) --encoder ENCODER Input encoder which converts an incoming message to dictionary (default: collectd_graphite_encoder) --buffer_size BUFFER_SIZE Maximum number of messages that will be collected before flushing to the backend (default: 1000) -c CONFIGFILE, --configfile CONFIGFILE Configfile path (default: None) -s, --statistics Show performance statistics (default: True) -b, --benchmark Run benchmark (default: False) -v, --verbose Set verbosity level. Increase verbosity by adding a v: -v -vv -vvv (default: 0)
TODO
flush buffer if not full but some time has gone by (safety net for low frequency input)
Support reading from multiple partitions and topics (using Python multiprocessing)
Enable settings using environment variables for Docker image
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