Difference between revisions of "Writing advanced adapters"
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| Line 6: | Line 6: | ||
**read the raw log messages one-by-one (from source such as files, queues, APIs, Databases etc), | **read the raw log messages one-by-one (from source such as files, queues, APIs, Databases etc), | ||
**parse the log messages, | **parse the log messages, | ||
| − | **convert it in [[Khika Data Format|<span style="color:#0000ff"> Khika Data Format </span>]] | + | **convert it in [[Khika Data Format|<span style="color:#0000ff"> Khika Data Format </span>]] |
**Write the output to stdout | **Write the output to stdout | ||
| + | *KHIKA Data Aggregator ''pipes'' the output of the Aggregator script and send it to KHIKA over a SSL connection | ||
Revision as of 07:58, 31 May 2019
After understanding Khika Data Format and going through the initial exercise of Writing you own KHIKA Data Adapters , it is the time to create a production level KHIKA Adapter. A few points to note here before we begin writing our own Adapter:
- Adapters are scripts that execute on KHIKA Data Aggregator
- Adapters can be written in any programming language (our favorite is python 2.7)
- Adapters are scheduled processes and KHIKA Data Aggregator is responsible for scheduling them to run at a periodic interval (typically 1 minute to 5 minutes)
- The Adapter scripts
- read the raw log messages one-by-one (from source such as files, queues, APIs, Databases etc),
- parse the log messages,
- convert it in Khika Data Format
- Write the output to stdout
- KHIKA Data Aggregator pipes the output of the Aggregator script and send it to KHIKA over a SSL connection
