Python version here : https://github.com/vigenere23/modupipe
Extract-Transform-Load (ETL) pipelines are a classic form of data-processing pipelines used in the industry. It consists of 3 main elements:
- An
Extractor
, which returns data in a iterator-like structure (with.get_next()
) using a pull strategy. - Some
Mapper
(optional), which transforms (parse, converts, filters, etc.) the data obtained from the source(s). Mappers can be chained together and chained to an extractor (with.map()
) in order to form a new extractor. - A
Loader
, which consumes the maybe-transformed data using a push strategy. Loaders can be multiple (withLoaderList
).
Therefore, those 3 processes are offered as traits, easily chainable and interchangeable at any time.
A trait Runner
is also offered in order to interface the concept of "running an action". This enables a powerfull composition pattern for wrapping execution behaviours.
Usage examples are present in the examples folder.
If you have multiple loaders (using a LoaderList
), but performance is a must, then you should use a multi-threading approach (with runnner::ConcurrentRunner
), and push to 1 channel (queue) per loader. Each queue will then be extracted for each of the original loaders, all running in parallel. This is especially usefull when at least one of the loaders processing time is slow.
As an example, let's take a Loader 1
which is very slow, and a Loader 2
which is normally fast. You'll be going from :
βββββββ single pipeline βββββββ βββββββββββββββββ single pipeline ββββββββββββββββ
Extractor β¬ββ΅ Loader 1 (slow) OR Extractor βββ΅ Loader 1 (slow) βββ΅ Loader 2 (late)
βββ΅ Loader 2 (late)
to :
ββββββββ pipeline 1 βββββββ βββββββββββ pipeline 2 ββββββββββ
Extractor β¬ββ΅ PushToQueue βββ΅ Queue 1 β΄ββ GetFromQueue βββ΅ Loader 1 (slow)
βββ΅ PushToQueue βββ΅ Queue 2 β΄ββ GetFromQueue βββ΅ Loader 2 (not late)
βββββββββββββ pipeline 3 ββββββββββββ
This will of course not accelerate the Loader 1
processing time, but all the other loaders performances will be greatly improved by not waiting for each other.