Sql Query kwuwapụta mgbanwe
Hey ebe ahụ, ndị na-anụ ọkụ n'obi data ibe! Taa, anyị na-abanye n'ime omimi echiche na SQL: Sql Query kwuwapụta mgbanwe. Njirimara a dị ka ọ dị mfe na-ebu nnukwu ntụmadị, na-enye ogo mgbanwe na njikwa nke nwere ike ịkwalite ike njụta data gị nke ukwuu.
Gịnị bụ Sql Query kwuwapụta mgbanwe na Gịnị Mere O Ji Dị Mkpa?
Na isi ya, Sql Query kwuwapụta mgbanwe na-enye gị ohere ịkọwa ma jiri mgbanwe nwa oge n'ime ajụjụ SQL gị. Were ya dị ka akpa nchekwa nwa oge n'ime njedebe nke ajụjụ gị. Ị nwere ike kenye ụkpụrụ na mgbanwe ndị a, megharịa ha, wee jiri ha n'akụkụ dị iche iche nke mgbagha ajụjụ gị.
Gịnị mere nke a ji dị mkpa? Ọfọn, Sql Query kwuwapụta mgbanwe na-enye gị ike:
- Melite agụ koodu yana nkwado: Site n'iji mgbanwe na-echekwa nsonaazụ etiti ma ọ bụ ụkpụrụ a na-ejikarị eme ihe, ị nwere ike ime ka ajụjụ gị dị nkenke ma dị mfe nghọta. Nke a dị oke mkpa mgbe a na-emekọ ajụjụ ndị dị mgbagwoju anya metụtara ọtụtụ ajụjụ ma ọ bụ mgbako dị mgbagwoju anya.
- Kwalite ojiji koodu: Ọ bụrụ na a na-eji otu uru ma ọ bụ ngụkọta oge eme ihe ugboro ugboro n'ime ajụjụ, ị nwere ike kenye ya na mgbanwe ma jiri ya mee ihe n'oge niile, na-ezere redundancy na ime ka koodu gị rụọ ọrụ nke ọma.
- Mụbaa mgbanwe koodu: Site n'iji mgbanwe, ị nwere ike gbanwee omume nke ajụjụ gị n'ụzọ dị mfe na-enweghị ịgbanwe echiche dị n'okpuru n'ọtụtụ ebe. Nke a bara uru karịsịa mgbe ị na-emeso data dị ike ma ọ bụ na-agbanwe agbanwe.
- Melite arụmọrụ ajụjụ: N'ọnọdụ ụfọdụ, iji mgbanwe eme ihe nwere ike ibute uru arụmọrụ. Dịka ọmụmaatụ, ọ bụrụ na a na-eme ngụkọ mgbagwoju anya ugboro ugboro, ịchekwa nsonaazụ na mgbanwe na iji ya mee ihe nwere ike igbochi ngụkọ ahụ ka emechaa ọtụtụ oge.
Na isi, Sql Query kwuwapụta mgbanwe na-enye ọkwa nke abstraction na njikwa nke nwere ike ime ka ajụjụ SQL gị mara mma, rụọ ọrụ nke ọma na nke a na-edozi.
Ihe atụ n'ezie n'ụwa: mgbanwe Sql Query kwuwapụta mgbanwe maka Successga nke Ọma
Ka anyị tụlee ihe atụ echiche na ụlọ ọrụ dị ka Amkor Technology, nkwakọ ngwaahịa semiconductor zuru ụwa ọnụ na onye na-eweta ọrụ nnwale. Were ya na ọ dị ha mkpa inyocha usoro usoro ndị ahịa iji chọpụta ebe ndị nwere ike itolite.
Ajụjụ mbụ ha nwere ike ịdị ka nke a:
SQL
Họrọ
Aha ndị ahịa,
SUMOorderAmount AS Ọnụ ego mkpokọta,
Họrọ ego ole AVGOrder SITE n'iwu dị ka nkezi ọnụọgụ
SITE
ahịa
BỤ
Iwu na ndị ahịa.CustomerID = Orders.CustomerID
GROUP BY
Aha ndị ahịa;
Ajụjụ a na-agbakọ mkpokọta ọnụ ahịa nke onye ahịa ọ bụla wee jiri ya tụnyere nkezi ọnụọgụ n'ofe ndị ahịa niile. Otú ọ dị, usoro a gụnyere ịgbakọ nkezi ego n'usoro na subquery n'ime nkwupụta SELECT, nke nwere ike imetụta arụmọrụ, karịsịa maka nnukwu datasets.
Site n'iwebata Sql Query kwuwapụta mgbanwe, anyị nwere ike bulite ajụjụ a:
SQL
Kpọwaa @AverageOrderOgo ego DECIMAL18,2;
SET @AverageOrderAmount = Họrọ AVGOrderAmount SITE n'iwu;
Họrọ
Aha ndị ahịa,
SUMOorderAmount AS Ọnụ ego mkpokọta,
@AverageOrderOgo
SITE
ahịa
BỤ
Iwu na ndị ahịa.CustomerID = Orders.CustomerID
GROUP BY
Aha ndị ahịa;
N'ụdị a emelitere, anyị na-ebu ụzọ kwuwapụta mgbanwe aha ya bụ @AverageOrderAmount iji chekwaa nkezi ego. Anyị wee gbakọọ nkezi a otu ugboro ma chekwaa ya na mgbanwe. N'ikpeazụ, anyị na-eji mgbanwe ahụ ozugbo na isi nkwupụta SELECT. Usoro a na-ewepụ mkpa nke subquery, nwere ike iduga n'ịkwalite arụmọrụ dị ịrịba ama, karịsịa maka nnukwu datasets.
Ihe atụ a dị mfe na-egosi ike nke Sql Query kwuwapụta mgbanwe. Site n'iji usoro mgbanwe eme ihe, ị nwere ike ọ bụghị naanị melite agụ na nkwado nke ajụjụ SQL gị kamakwa bulie arụmọrụ ha.
Ana m agba gị ume ka ị nwalee Sql Query kwuwapụta mgbanwe na nke gị oru ngo. Ọ ga-eju gị anya ka njirimara a dị ka ọ dị mfe nwere ike imeghe ọkwa arụmọrụ na ịma mma ọhụrụ na koodu SQL gị.
Obi ụtọ na nzuzo!
Banyere chepụtara
Dịka onye injinia SR Python nwere oge na Wells Fargo nwere akara mmụta sayensị Kọmputa sitere na Mahadum steeti Michigan, ike data na-amasị m mgbe niile. Nzụlite m na AI na robotics, yana oke mmasị m nwere maka nyocha data, emeela ka nghọta miri emi m nwere banyere ike Sql Query kwuwapụta mgbanwe n'ịkwalite nhazi data na ịkwalite arụmọrụ nke ngwa ndị na-akpata data. Nkà ihe ọmụma nke onwe m gbadoro ụkwụ na mmụta na-aga n'ihu na ụzọ mgba ọkụ maka idozi nsogbu, nke m kwenyere na ọ dị mkpa maka ịga nke ọma na teknụzụ teknụzụ na-agbanwe ngwa ngwa taa.
Disclaimer: Ezubere blọọgụ a maka ebumnuche ozi naanị na e kwesịghị ịtụle ndụmọdụ gbasara ego ma ọ bụ itinye ego 1.
