<prompt> Ke malebela afe a molemo ka ho fetisisa a ho ngola lipotso tsa SQL tse sebetsang hantle?nan  <response>: Instruction in English: What are the best tips for writing efficient SQL queries? . Response in English: 1. Limit the columns retrieved: When writing SQL queries, be selective about which columns you retrieve. Instead of using SELECT , specify the columns you want to return, which reduces the amount of data being transmitted and processed.2. Use Indexes: Indexing is one of the most effective ways to improve query performance. By creating indexes on frequently queried columns, you can significantly speed up SELECT, WHERE, JOIN and ORDER BY operations.3. Avoid unnecessary JOINs: JOIN operations can be computationally expensive, so its important to use them judiciously. Make sure youre only joining tables when its necessary to bring data together from multiple tables.4. Use EXPLAIN: EXPLAIN is a useful command for analyzing query performance. By running EXPLAIN before your SELECT statement, you can see details about the query execution plan, including the estimated number of rows that will be returned.5. Optimize WHERE clauses: Conditions in WHERE clauses can have a big impact on query performance. Make sure youre using the right comparison operators, and try to use indexed columns in your filter conditions whenever possible.6. Use LIMIT clauses: LIMIT clauses can be useful when you only need a certain number of rows returned from a query. By limiting the number of rows returned, you can reduce the amount of data being processed and speed up your query.7. Avoid sub-queries: Sub-queries can slow down queries significantly, especially if theyre being used in WHERE or JOIN clauses. Whenever possible, try to rewrite sub-queries as JOINs or separate queries.8. Keep your statistics up-to-date: Statistics are used by the query planner to determine the most efficient execution plan. Make sure your statistics are up-to-date to ensure that the planner is making the best decisions. . Response in Sesotho: 1. Fokotsa dikholomo tse fumanweng: Ha o ngola dipotso tsa SQL, kgetha hore na o nka dikholomo dife. Sebakeng sa ho sebelisa KHETHA , hlakisa litšiea tseo u batlang ho li khutlisa, tse fokotsang palo ea data e fetisoang le ho sebetsoa. 2. Sebelisa Li-Index: Ho etsa indexing ke e ngoe ea litsela tse sebetsang ka ho fetisisa tsa ho ntlafatsa ho sebetsa ha lipotso. Ka ho theha li-index likholomong tse botsoang khafetsa, u ka potlakisa KHETHA, KAE, KENYA LE HO ORDER BY tsebetso. 3. Qoba HO JOIN HO sa hlokahale: JOIN opereishene e ka bitsa chelete e ngata haholo, kahoo ho bohlokoa ho e sebelisa ka hloko. Etsa bonnete ba hore o kopanya litafole feela ha ho hlokahala ho kopanya data ho tsoa litafoleng tse ngata. 4. Sebelisa TLHALOSO: HLALOSA ke taelo e molemo bakeng sa ho hlahloba tsebetso ea potso. Ka ho sebelisa EXPLAIN pele ho polelo ea hau ea KHETHA, u ka bona lintlha tse mabapi le moralo oa ho phethahatsa potso, ho kenyelletsa le palo e hakanyetsoang ea mela e tla khutlisoa. 5. Optimize WHERE clauses: Conditions in WHERE clauses li ka ba le tšusumetso e kholo ho phethoeng ha lipotso. Etsa bonnete ba hore u sebelisa lipapiso tse nepahetseng, me u leke ho sebelisa li-columns tse nang le indexed maemong a sefe ea hau ha ho khoneha. 6. Sebelisa LIMIT clauses: LIMIT clauses li ka ba molemo ha u hloka feela palo e itseng ea mela e khutlisitsoeng potsong. Ka ho fokotsa palo ea mela e khutlisitsoeng, o ka fokotsa palo ea data e ntseng e sebetsoa le ho potlakisa potso ea hau. 7. Qoba ho botsa lipotso: Lipotso-tlase li ka liehisa lipotso haholo, haholo haeba li sebelisoa ho WHERE kapa JOIN clause. Nako le nako ha ho khonahala, leka ho ngola hape lipotso tse nyane joalo ka JOIN kapa lipotso tse arohaneng. 8. Boloka lipalo-palo tsa hau e le tsa morao-rao: Lipalopalo li sebelisoa ke mohlophisi oa lipotso ho fumana moralo o sebetsang ka ho fetisisa oa ho phethahatsa. Etsa bonnete ba hore lipalo-palo tsa hau ke tsa morao-rao ho netefatsa hore moralo o etsa liqeto tse molemohali. 