Overview
Apache Airflow ipuratifomu yakavhurika-sosi yekunyora, kuronga, uye yekutarisa mafambiro ebasa sekodhi. Mukudzidza kwemichina inoita senge conductor inokonzeresa mapaipi edata, kudzidzisazve mabasa, uye fungidziro yebatch pane yakavimbika hurongwa.
Apache Airflow yeML Workflows inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Airflow yakagadzirwa paAirbnb muna 2014 uye yave chirongwa cheApache. Yayo yepakati yekubvisa ndeyeDAG: Yakatungamirwa Acyclic Girafu yemabasa anotsanangurwa muPython, uko mipendero inoisa kurongeka kwekuuraya uye kutsamira. Anoronga anodhirowa aya maDAG, anosarudza kuti ndeapi mabasa akagadzirira, uye oatumira kune vaurayi nevashandi; Webhu UI inoratidza kumhanya nhoroondo, matanda, uye chimiro chebasa. Kune ML, Airflow inoshandiswa zvakanyanya seye orchestrator kwete injini yekombuta: haidzidzise modhi pachayo asi inokonzeresa nhanho sekubvisa data, kuisimbisa, kukanda basa rekudzidzisa paSpark kana Kubernetes pod, uye kutumira mhedzisiro. Vashandi uye masensa vanorega mabasa achidaidza ekunze masisitimu, kumirira mafaera, kana kumhanyisa midziyo. Simba rayo rinovimbika kuronga, kuedzazve, kudzosera kumashure, uye kuoneka kwakajeka mumapaipi akaoma, nguva-yakavakirwa.
Technical Insight
Airflow DAG ingori kodhi yePython, saka kutsamira kunoratidzirwa zvakarongwa nevashandisi vakasungwa nebhishift syntax kana basa API. Murongi anoramba achiongorora nguva yechirongwa cheDAG yega yega uye zvinoenderana nebasa, achiisa mumitsetse mabasa ayo anotsamira pamusoro pemvura akabudirira. Maexecutors akadai seCelery kana Kubernetes anomhanyisa iwo mabasa kune vashandi vakagoverwa. Basa rega rega rinoteedzerwa nenyika, matanda, uye edzazve logic, uye metadata inochengetwa mudura rekutsigira kuti rinyatso tarisisa.
Mastering Apache Airflow yeML Workflows
Apache Airflow ipuratifomu yakavhurika-sosi yekunyora, kuronga, uye yekutarisa mafambiro ebasa sekodhi. Mukudzidza kwemichina inoita senge conductor inokonzeresa mapaipi edata, kudzidzisazve mabasa, uye fungidziro yebatch pane yakavimbika hurongwa. Apache Airflow yeML Workflows inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuti uvake kunzwisisa kwakadzama, bata Apache Airflow yeML Workflows semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Apache Airflow yeML Workflows inokwenenzvera zvivakwa, data, uye sarudzo dzezvivakwa zvinopesana nekuvimbika uye mutengo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Panguva imwecheteyo, Kukwirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kambani yenhau inomhanyisa zuva nezuva Airflow DAG iyo inodhonza-mushandisi-yekuita matanda, kudzidzisazve modhi yekurudziro, uye inozorodza cache inoshumira.
Chikwata che e-commerce chinoshandisa masensa kumirira faira remutengesi kuti rimhare muchengetedzo yegore risati ratanga basa rekufanotaura.
Kambani yefintech inoronga mabasa eawa yega yega batch-zvibodzwa uko Airflow inokonzeresa modhi ine midziyo mureza wekutengesa kuri kufungidzira.
Chikwata chedata chinoshandisa maAirflow backfills kugadzirisazve mwedzi yenhoroondo data kuburikidza neipi itsva-engineering pombi mushure mekuchinja kwepfungwa.
Maitiro Ekuita
Apache Airflow yeML Workflows mukuita
Kambani yenhau inomhanyisa zuva nezuva Airflow DAG iyo inodhonza-mushandisi-yekuita matanda, kudzidzisazve modhi yekurudziro, uye inozorodza cache inoshumira.
Kambani yenhau inomhanyisa zuva nezuva Airflow DAG iyo inodhonza-mushandisi-yekuita matanda, inodzoreredza kurudziro modhi, uye inozorodza inoshumira cache Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengeta nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Apache Airflow yeML Workflows mukuita
Chikwata che e-commerce chinoshandisa masensa kumirira faira remutengesi kuti rimhare muchengetedzo yegore risati ratanga basa rekufanotaura.
Chikwata che e-commerce chinoshandisa ma sensors kumirira faira remutengesi kuti rimhare munzvimbo yekuchengetedza gore risati ratanga basa rekufembera rezasi Matimu anowanzo kuwana mhedzisiro iri nani kana atsanangura zvikumbaridzo zvemhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Apache Airflow yeML Workflows mukuita
Kambani yefintech inoronga mabasa eawa yega yega batch-zvibodzwa uko Airflow inokonzeresa modhi ine midziyo mureza wekutengesa kuri kufungidzira.
Kambani yefintech inoronga mabasa eawa imwe neimwe yeBatch-scoring mabasa uko Airflow inokonzeresa modhi yakasungirirwa mureza wekutengesa kunofungidzirwa Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Apache Airflow yeML Workflows mukuita
Chikwata chedata chinoshandisa maAirflow backfills kugadzirisazve mwedzi yenhoroondo data kuburikidza neipi itsva-engineering pombi mushure mekuchinja kwepfungwa.
Chikwata chedata chinoshandisa Airflow backfills kugadzirisazve mwedzi yenhoroondo yedata kuburikidza neipi nyowani-engineering pombi mushure mekuchinja zvine musoro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Njodzi & Guardrails
Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Implementation Roadmap
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Benchmark pasi pechokwadi mutoro uye data mamiriro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.