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çSQLãæ±ã $queryRaw TypeScriptåãã®ORMã©ã¤ãã©ãªã¨ãã¦Prismaãããã¾ããPrismaã¯ç´æçã§åå®å ¨ãªAPIãæä¾ããTypeScriptåãã®ORMã¨ãã¦ã¯ç¬¬ä¸ã«ååãä¸ãããã¨ãå¤ãã©ã¤ãã©ãªã§ãã ããããããªäººæ°ãªPrismaã§ããè£å´ã§ã¯å°ãã¯ã»ã®ããSQLãçºè¡ããã¦ãããã欲ããSQLãPrismaã®APIã§ã¯å®ç¾ã§ããªãå ´åãããã¾ãã ãããã£ãå ´åã®ããã« $queryRaw ã¨ããã¡ã½ãããç¨æããã¦ãããããã使ããã¨ã§çSQLãæ¸ãã¦ãã®çµæãåãåããã¨ãã§ãã¾ãããä»ã®ORMã«ãããããæ©è½ã§ãã ä¾ãã°ä»¥ä¸ã®ããã«å®è£ ãããã¨ãã§ãã¾ãã const users = await prisma.$queryRaw` SELECT id, name FROM "Users" WHERE id = ${userID} `; co
Endatabas is an open source immutable database. We hope you will enjoy building with Endatabas as much as you enjoyed writing your first program. Endatabas is now in Beta. Read the One-Page Executive Summary. For more information, please contact us at [email protected]. -- store documents without CREATE TABLE INSERT INTO msgs {text: "Here is some classic material", user: "George", send_at: 2024-
You write SQL queries You run sqlc to generate code that presents type-safe interfaces to those queries You write application code calling the methods sqlc generated. Seriously, it's that easy. You don't have to write any boilerplate SQL querying code ever again. See the current list of supported programming languages and databases. Schema updates and poorly-written queries often bring down produc
DuckDB is a fast in-process analytical database DuckDB supports a feature-rich SQL dialect complemented with deep integrations into client APIs. DuckDB v1.1.0 was released in September 2024. Installation Documentation -- Get the top-3 busiest train stations SELECT station_name, count(*) AS num_services FROM train_services GROUP BY ALL ORDER BY num_services DESC LIMIT 3;
SQLã¤ã³ã¸ã§ã¯ã·ã§ã³ã«ããèªè¨¼åé¿ SQLã¤ã³ã¸ã§ã¯ã·ã§ã³ã«ããå½±é¿ã¨ãã¦ãæ å ±ãæ¼æ´©ããã¨ãããã¼ã¿ãåæã«æ´æ°ããã¦ãã¾ããªã©ã¨ã¨ãã«ãèªè¨¼åé¿ã®ä¾ãããç´¹ä»ããã¾ãï¼ç§ã®æ¬ã§ãåãä¸ãã¦ãã¾ãï¼ã å ¸åçãªä¾ã¯ä¸è¨ã®ã¨ããã§ãã // $id 㨠$password ã¯å¤é¨ããã®å ¥å $sql = "SELECT * FROM users WHERE id='$id' AND password='$password'";
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Pipelined Relational Query Language, pronounced âPrequelâPRQL is a modern language for transforming dataâ a simple, powerful, pipelined SQL replacement from invoices filter invoice_date >= @1970-01-16 derive { transaction_fees = 0.8, income = total - transaction_fees } filter income > 1 group customer_id ( aggregate { average total, sum_income = sum income, ct = count total, } ) sort {-sum_income}
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