Ubuyobozi bwa tekiniki

Apache Airflow ya ML Akazi

Apache Airflow ni urubuga rufunguye-rwo gutanga uburenganzira, guteganya, no gukurikirana ibikorwa byakazi nka code.

2 min somaIbiherutse kuvugururwa

Incamake

In machine learning it acts as the conductor that triggers data pipelines, retraining jobs, and batch predictions on a reliable schedule.

Kwibira cyane

Airflow yashinzwe muri Airbnb muri 2014 none ni umushinga wa Apache. Igice cyacyo cyo hagati ni DAG: Igishushanyo mbonera cya Acyclic Igishushanyo cyibikorwa byasobanuwe muri Python, aho impande zishyiraho gahunda yo gukora no kwishingikiriza. Gahunda isobanura DAGs, ihitamo imirimo yiteguye, ikohereza kubayobozi n'abakozi; urubuga UI rwerekana amateka, ibiti, hamwe nimirimo yimirimo. Kuri ML, Airflow ikoreshwa cyane nka orchestre aho kuba moteri ya compte: ntabwo itoza moderi ubwayo ahubwo itera intambwe nko gukuramo amakuru, kubyemeza, gutangiza akazi ko guhugura kuri Spark cyangwa pod ya Kubernetes, no gukoresha ibisubizo. Abakoresha na sensor bareka imirimo ihamagarira sisitemu yo hanze, gutegereza dosiye, cyangwa gukora kontineri. Imbaraga zayo ni gahunda yiringirwa, gusubiramo, gusubira inyuma, no kugaragara neza mumiyoboro igoye, ishingiye kumwanya.

Ubushishozi

Airflow DAG ni code ya Python gusa, bityo rero kwishingikiriza kugaragazwa na programme hamwe nabakozi baboshywe na bitshift syntax cyangwa umurimo APIs. Gahunda idahwema gusuzuma buri gahunda ya DAG intera ninshingano zishingiye kubikorwa, gutonda umurongo gusa imirimo yo hejuru yatsindiye. Abayobozi nka Celery cyangwa Kubernetes bakora iyo mirimo kubakozi bagabanijwe. Buri gikorwa cyo gukora gikurikiranwa na leta, ibiti, na retry logique, kandi metadata ibikwa mububiko bwinyuma kugirango igenzurwe byuzuye.

Ingaruka z'Ingamba

Igiciro na bije

Ibyemezo byubwubatsi bitwara imikorere nigiciro cyimikorere kumyaka.

Ibyemezo bisobanutse

Ubuhanga bwa tekinike bufasha amakipe guhitamo umurongo ukwiye, ntabwo ari shyashya gusa.

Kugenzura ubuziranenge

Guhitamo neza bya injeniyeri bigabanya ibintu byizewe mubikorwa.

Kazoza ka Apache Airflow ya ML Akazi

Airflow 2.x na 3.x byibanda kuri gahunda yihuse, TaskFlow API kumiyoboro isukuye ya Python, hamwe na gahunda yo kumenya amakuru aho DAGs itera ivugurura rya dataset aho kuba amasaha yagenwe. Kuri ML, tegereza guhuza cyane hamwe nububiko bwimikorere hamwe nibyabaye-byongeye imyitozo. Airflow igenda yihagararaho nka orchestre layer ihuza ibikoresho kabuhariwe nka dbt, Spark, na Kubeflow, aho guhatana nabo, ishimangira uruhare rwayo nkurutonde rwimibare yamakuru agezweho hamwe na ML.

Gushyira mu bikorwa Isi

Isosiyete y'itangazamakuru ikora buri munsi Airflow DAG ikurura ibiti-byo gusezerana kubakoresha, ikongera ikagaragaza icyitegererezo, ikanagarura cache itanga.

Itsinda rya e-ubucuruzi rikoresha sensor kugirango utegereze dosiye yumucuruzi kugirango igwe mububiko bwigicu mbere yo gutangiza akazi ko guhanura.

Ikigo cya fintech giteganya buri saha icyiciro-cyo gutanga amanota aho Airflow itera moderi yabigenewe kugirango ibendera ryibikorwa biteye amakenga.

Itsinda ryamakuru rikoresha Airflow isubira inyuma kugirango isubiremo amezi yamakuru yamateka binyuze mumiyoboro mishya-yubuhanga nyuma yimpinduka.

Ingaruka & Kurinda

Gutezimbere igipimo kimwe gishobora guhisha intege nke za sisitemu.

Ibikorwa Remezo no kubungabunga akenshi usanga bidahabwa agaciro.

Icyuho cyumutekano no kwitegereza birashobora kwiyongera uko sisitemu igenda igorana.

Igishushanyo mbonera

1

Sobanura ubukererwe, ubuziranenge, nigiciro cyibiciro mbere yo kubishyira mubikorwa.

2

Ibipimo byerekana umutwaro ufatika hamwe namakuru yimiterere.

3

Gukurikirana ibikoresho kubikosa, drift, ningaruka zabakoresha.

4

Tegura inzira yo gusubiza ibyabaye mbere yo gupima.

Komeza Ubushakashatsi

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Ubuyobozi bukurikira

Kubernetes ya ML Imirimo Yakazi

Ibibazo bikunze kubazwa

What is Apache Airflow for ML Workflows?

Apache Airflow ni urubuga rufunguye-rwo gutanga uburenganzira, guteganya, no gukurikirana ibikorwa byakazi nka code. Mu myigire yimashini ikora nkuyobora ikurura imiyoboro yamakuru, kongera imyitozo, hamwe nibiteganijwe kuri gahunda yizewe.

Muri Apache Airflow, niyihe abstraction yibanze ikoreshwa mugusobanura akazi?

Imikorere ya Airflow isobanurwa nka DAGs muri Python, aho imirimo ari node kandi impande zisobanura gahunda yo gukora.

Ni uruhe ruhare Airflow ikunze kugira mu miyoboro ya ML?

Airflow ni orchestre: itera kandi igahuza intambwe nko gukuramo amakuru hamwe nakazi ko guhugura aho gukora compte iremereye ubwayo.

Niyihe Airflow yubaka ikoreshwa mugutegereza imiterere yo hanze, nka dosiye igera mububiko?

Sensors ni abashoramari badasanzwe bahagarika akazi kugeza igihe ibintu byujujwe, nka dosiye igwa cyangwa igice kigaragara.

Niki Airflow 'backfill' ikwemerera gukora?

Gusubira inyuma bikora DAG mugihe cyashize, bifite akamaro ko gusubiramo amateka nyuma yimpinduka ihinduka.

Nibihe bice bikomeza gusuzuma DAGs no guhitamo imirimo yiteguye gukora?

Ingengabihe isobanura DAGs, igenzura ingengabihe intera nishingikirije, hamwe numurongo wimirimo intambwe yo hejuru yagezeho.