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있습니다.\u003C/p\u003E\n","\u003Ch4\u003ESnowflake는 현재 UDF 작성을 위해 다음 언어를 지원합니다.\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESQL\u003C/strong\u003E: SQL UDF는 임의 SQL 식을 평가하며 스칼라 또는 테이블 형식 결과를 반환합니다.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EJavaScript\u003C/strong\u003E: JavaScript UDF를 통해 JavaScript 프로그래밍 언어를 사용하여 데이터를 조작하고 스칼라 또는 테이블 형식 결과를 반환할 수 있습니다.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EJava\u003C/strong\u003E: Java UDF를 통해 Java 프로그래밍 언어를 사용하여 데이터를 조작하고 스칼라 결과를 반환할 수 있습니다.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003E이 가이드는 Snowflake 설정 과정을 안내하며 여러분이 다음에 익숙해질 수 있도록 합니다\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ESQL\u003C/strong\u003E UDF(사용자 정의 함수) 생성 및 실행\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESQL\u003C/strong\u003E UDTF(사용자 정의 테이블 함수) 생성 및 실행.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E사전 필요 조건 및 지식\u003C/h3\u003E\n","\u003Cp\u003ESnowflake 사용자 인터페이스에 익숙하지 않다면 아래 동영상을 시청하십시오.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E짧은 \u003Ca href=\"https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.\"\u003ESnowflake 소개\u003C/a\u003E 동영상\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E학습할 내용\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake 계정 및 사용자 권한\u003C/li\u003E\u003Cli\u003E데이터베이스 오브젝트 생성\u003C/li\u003E\u003Cli\u003E사용자 정의 스칼라 함수 쿼리\u003C/li\u003E\u003Cli\u003E사용자 정의 테이블 함수 쿼리\u003C/li\u003E\u003Cli\u003E데이터베이스 오브젝트 삭제\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E필요한 것\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://signup.snowflake.com/?utm_cta=quickstarts_\"\u003ESnowflake\u003C/a\u003E 평가판 계정\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E구축할 것\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E오브젝트 쿼리를 위한 데이터베이스 오브젝트 및 사용자 정의 함수.\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E기본 사항부터 시작하기\u003C/h2\u003E\n","\u003Ch4\u003E우선 여러분의 Snowflake 계정을 생성하고 사용자 권한을 관리하는 방법을 다루겠습니다.\u003C/h4\u003E\n","\u003Ch3\u003ESnowflake 계정 생성\u003C/h3\u003E\n","\u003Cp\u003ESnowflake는 무료로 Snowflake 서비스를 이용해 볼 수 있도록 \u003Ca href=\"https://signup.snowflake.com/?utm_cta=quickstarts_\"\u003E평가판 계정\u003C/a\u003E을 제공합니다. 프롬프트에 따라 이메일로 계정을 활성화합니다.\u003C/p\u003E\n","\u003Cp\u003ESnowflake 계정이 이미 있다면 이를 사용할 수 있습니다.  데이터베이스 생성 권한을 가진 역할만 있으면 됩니다.\u003C/p\u003E\n","\u003Ch3\u003ESnowflake의 웹 콘솔 액세스\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Ehttps://<your-account-name>.snowflakecomputing.com/console/login\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E브라우저에서 \u003Ca href=\"https://docs.snowflake.com/ko/user-guide/connecting.html#logging-in-using-the-web-interface\"\u003E웹 인터페이스\u003C/a\u003E에 로그인합니다. URL은 여러분의 \u003Ca href=\"https://docs.snowflake.com/ko/user-guide/connecting.html#your-snowflake-account-name\"\u003E계정 이름\u003C/a\u003E과 잠재적으로 지역을 포함합니다.\u003C/p\u003E\n","\u003Ch3\u003E역할 변경\u003C/h3\u003E\n","\u003Cp\u003EPositive : Snowflake 계정이 이미 있다면 데이터베이스 생성 권한을 가진 역할을 사용할 수 있습니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_SwitchRole_DemoUser.png\" alt=\"Snowflake_SwitchRole_DemoUser-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E기본값인 <code>SYSADMIN</code>에서 <code>ACCOUNTADMIN</code>으로 계정 역할을 전환합니다. \u003Cstrong\u003E필수는 아니지만\u003C/strong\u003E, 이 랩의 스크린샷과 웹 UI가 일치하게 만들어 줍니다.\u003C/p\u003E\n","\u003Cp\u003E새로운 계정을 생성하고 역할을 구성했으니 다음 섹션에서 데이터베이스 오브젝트 생성을 시작할 준비가 되었습니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E데이터베이스 오브젝트 생성\u003C/h2\u003E\n","\u003Cp\u003ESnowflake 계정에 쉽게 접근할 수 있으니 데이터베이스 오브젝트를 생성할 시간입니다.\u003C/p\u003E\n","\u003Cp\u003ESnowflake 웹 콘솔 내에서 \u003Cstrong\u003EWorksheets\u003C/strong\u003E로 이동한 다음 새로운 워크시트를 사용하여 다음 명령을 실행합니다.\u003C/p\u003E\n","\u003Ch3\u003E1. 새로운 데이터베이스 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Ecreate or replace database udf_db;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 명령으로 \u003Ccode\u003Eudf_db\u003C/code\u003E라는 새로운 데이터베이스를 구축합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_CreateDB.png\" alt=\"Snowflake_udf_CreateDB-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003EPositive : \u003Cstrong\u003EResults\u003C/strong\u003E는 \u003Cstrong\u003EDatabase UDF_DB successfully created\u003C/strong\u003E라는 상태 메시지를 표시해야 합니다.\u003C/p\u003E\n","\u003Ch3\u003E2. 새로운 스키마 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Ecreate schema if not exists udf_schema_public;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 명령을 사용하여 \u003Ccode\u003Eudf_schema_public\u003C/code\u003E이라는 스키마를 생성합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_CreateSchema.png\" alt=\"Snowflake_udf_CreateSchema-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003EPositive : \u003Cstrong\u003EResults\u003C/strong\u003E는 \u003Cstrong\u003ESchema UDF_SCHEMA_PUBLIC successfully created\u003C/strong\u003E라는 상태 메시지를 표시해야 합니다.\u003C/p\u003E\n","\u003Ch3\u003E3. 새로운 테이블에 샘플 데이터 복사\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Ecreate or replace table udf_db.udf_schema_public.sales \n  as\n    (select * from snowflake_sample_data.tpcds_sf10tcl.store_sales sample block (1));\n\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E'sales'라는 테이블을 생성하고 이 명령으로 매출 데이터를 가져옵니다. 샘플 데이터를 가져오는 데 이전 단계에서 보다 더 긴 실행 시간이 소요될 것입니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_CreateTable.png\" alt=\"Snowflake_udf_CreateTable-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003EPositive : \u003Cstrong\u003EResults\u003C/strong\u003E는 \u003Cstrong\u003ETable SALES successfully created\u003C/strong\u003E라는 상태 메시지를 표시해야 합니다.\u003C/p\u003E\n","\u003Cp\u003E필요한 데이터베이스 오브젝트가 생성되었으니 다음 섹션에서 UDF로 작업하는 메인 수업으로 이동할 시간입니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E스칼라 사용자 정의 함수 실행\u003C/h2\u003E\n","\u003Cp\u003E샘플 매출 데이터가 포함된 데이터베이스가 있으니 스칼라 UDF 생성을 시도할 준비가 \u003Cem\u003E거의\u003C/em\u003E 끝났습니다. 시작하기 전에 우선 UDF 명명 규칙에 대해 더 자세히 이해해 보겠습니다.\u003C/p\u003E\n","\u003Cp\u003ENegative : 함수 이름이 데이터베이스와 스키마(예: \u003Ccode\u003Eudf_db.udf_schema_public.udf_name\u003C/code\u003E)를 지정하지 않는다면 기본값으로 활성 세션이 됩니다. UDF는 데이터베이스 오브젝트이기에 자체적인 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/udf-overview.html#naming-conventions-for-udfs\"\u003E명명 규칙\u003C/a\u003E을 따르는 것이 더 낫습니다. 빠른 연습을 위해 활성 세션에 의존하겠습니다.\u003C/p\u003E\n","\u003Ch3\u003E1. UDF 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Ecreate function udf_max()\n  returns NUMBER(7,2)\n  as\n  $$\n    select max(SS_LIST_PRICE) from udf_db.udf_schema_public.sales\n  $$\n  ;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/functions/min.html#min-max\"\u003ESQL 함수\u003C/a\u003E \u003Ccode\u003Emax\u003C/code\u003E는 \u003Ccode\u003ESS_LIST_PRICE\u003C/code\u003E 열에서 가장 높은 값을 반환합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_max.png\" alt=\"Snowflake_udf_max-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E이미지는 \u003Ccode\u003Eudf_max\u003C/code\u003E 함수의 성공적인 생성을 보여 줍니다.\u003C/p\u003E\n","\u003Ch3\u003E2. UDF 호출\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Eselect udf_max();\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/select.html\"\u003ESQL 명령\u003C/a\u003E \u003Ccode\u003Eselect\u003C/code\u003E로 새로운 UDF를 호출합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_select_udf_max.png\" alt=\"Snowflake_select_udf_max-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E위 이미지는 반환된 \u003Cstrong\u003EResults\u003C/strong\u003E입니다.\u003C/p\u003E\n","\u003Cp\u003E이제 UDF 생성의 기본 사항을 연습했으니 새로운 테이블을 반환하는 UDF를 생성하여 다음 섹션에서 한 단계 더 어려운 작업을 시작하겠습니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E사용자 정의 테이블 함수로 쿼리\u003C/h2\u003E\n","\u003Cp\u003E성공적인 스칼라 UDF를 생성한 후 UDTF(사용자 정의 테이블 함수)로 테이블을 반환하는 함수를 만들어 보겠습니다.\u003C/p\u003E\n","\u003Ch3\u003E1. UDTF 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Ecreate or replace function\nudf_db.udf_schema_public.get_market_basket(input_item_sk number(38))\nreturns table (input_item NUMBER(38,0), basket_item_sk NUMBER(38,0),\nnum_baskets NUMBER(38,0))\nas\n 'select input_item_sk, ss_item_sk basket_Item, count(distinct\nss_ticket_number) baskets\nfrom udf_db.udf_schema_public.sales\nwhere ss_ticket_number in (select ss_ticket_number from udf_db.udf_schema_public.sales where ss_item_sk = input_item_sk)\ngroup by ss_item_sk\norder by 3 desc, 2';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 코드 조각은 시장바구니 분석을 포함한 테이블을 반환하는 함수를 생성합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udtf.png\" alt=\"Snowflake_udtf-image\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E2. UDTF 실행\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Eselect * from table(udf_db.udf_schema_public.get_market_basket(6139));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E스칼라 UDF와 같이 이는 여러분의 함수를 실행합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_select_udtf.png\" alt=\"Snowflake_select_udtf-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E반환된 것은 샘플 매출 데이터를 기반으로 한 시장바구니 분석 테이블입니다.\u003C/p\u003E\n","\u003Cp\u003E여러분은 UDTF를 만드는 것을 연습했으며 UDF에 익숙해졌습니다. 마지막 섹션에서는 필요 없는 데이터베이스 오브젝트를 삭제하겠습니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E정리\u003C/h2\u003E\n","\u003Cp\u003E많은 내용을 다뤘습니다! 마무리하기 전에 이 가이드에서 생성했던 연습 데이터베이스를 삭제하십시오. 이는 생성했던 데이터베이스와 모든 테이블 및 함수를 삭제합니다.\u003C/p\u003E\n","\u003Ch3\u003E1. 데이터베이스 삭제\u003C/h3\u003E\n","\u003Cp\u003E데이터베이스 삭제: \u003Ccode\u003Eudf_db\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Edrop database if exists udf_db;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_DropDB.png\" alt=\"Snowflake_udf_DropDB-image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Ccode\u003EUDF_DB successfully dropped\u003C/code\u003E의 \u003Cstrong\u003EResults\u003C/strong\u003E를 확인하여 데이터베이스가 완전히 삭제되었는지 확인합니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E종료 및 다음 단계\u003C/h2\u003E\n","\u003Cp\u003E스칼라와 테이블 함수를 모두 연습했기에 이제 SQL UDF를 잘 다룰 수 있을 것입니다. 데이터베이스 오브젝트를 끝냈으니 앞으로의 단계를 살펴볼 시간입니다.\u003C/p\u003E\n","\u003Cp\u003E공유 가능하고 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/udf-secure.html#secure-udfs\"\u003E안전한\u003C/a\u003E 사용자 정의 함수의 잠재력을 고려하십시오. \u003Ca href=\"/blog/the-power-of-secure-user-defined-functions-for-protecting-shared-data/\"\u003E안전한 UDF의 위력\u003C/a\u003E에 대한 이 게시물에서 시장바구니 분석 테이블과 같은 사용자 정의 함수를 공유하는 방법을 배울 수 있습니다.\u003C/p\u003E\n","\u003Ch3\u003E다룬 내용\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake 계정 등록\u003C/li\u003E\u003Cli\u003E역할 권한 구성\u003C/li\u003E\u003Cli\u003E데이터베이스 및 기타 오브젝트 생성\u003C/li\u003E\u003Cli\u003EUDTF로 데이터를 분석하기 위한 테이블 생성\u003C/li\u003E\u003Cli\u003E사용자 지정 UDF 쿼리\u003C/li\u003E\u003Cli\u003E모든 오브젝트를 정리하기 위해 데이터베이스 삭제\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E관련 리소스\u003C/h3\u003E\n","\u003Cp\u003EUDF에 대한 더 많은 정보:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/developer-guide/udf/sql/udf-sql.html#sql-udfs\"\u003ESQL UDF\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/developer-guide/udf/javascript/udf-javascript.html#javascript-udfs\"\u003EJavaScript UDF\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/developer-guide/udf/java/udf-java.html#java-udfs\"\u003EJava UDF\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"description":"","title":"사용자 정의 SQL 함수 시작하기","isDeveloperGuidesPage":false,"elements":{"quickstartArticleBody":{"dataType":"string","value":"\u003C!-- ------------------------ --\u003E\r\n## 개요\r\n\r\n\r\nUDF(사용자 정의 함수)로 시스템을 확장하면, Snowflake에서 제공하는 내장 시스템 정의 함수를 통해 제공되지 않는 작업을 수행할 수 있습니다.\r\n\r\n#### Snowflake는 현재 UDF 작성을 위해 다음 언어를 지원합니다.\r\n\r\n- **SQL**: SQL UDF는 임의 SQL 식을 평가하며 스칼라 또는 테이블 형식 결과를 반환합니다.\r\n\r\n- **JavaScript**: JavaScript UDF를 통해 JavaScript 프로그래밍 언어를 사용하여 데이터를 조작하고 스칼라 또는 테이블 형식 결과를 반환할 수 있습니다.\r\n\r\n- **Java**: Java UDF를 통해 Java 프로그래밍 언어를 사용하여 데이터를 조작하고 스칼라 결과를 반환할 수 있습니다.\r\n\r\n#### 이 가이드는 Snowflake 설정 과정을 안내하며 여러분이 다음에 익숙해질 수 있도록 합니다\r\n\r\n- **SQL** UDF(사용자 정의 함수) 생성 및 실행\r\n- **SQL** UDTF(사용자 정의 테이블 함수) 생성 및 실행.\r\n\r\n### 사전 필요 조건 및 지식\r\n\r\nSnowflake 사용자 인터페이스에 익숙하지 않다면 아래 동영상을 시청하십시오.\r\n\r\n- 짧은 [Snowflake 소개](https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.) 동영상\r\n\r\n### 학습할 내용\r\n\r\n- Snowflake 계정 및 사용자 권한\r\n- 데이터베이스 오브젝트 생성\r\n- 사용자 정의 스칼라 함수 쿼리\r\n- 사용자 정의 테이블 함수 쿼리\r\n- 데이터베이스 오브젝트 삭제\r\n\r\n### 필요한 것\r\n\r\n- [Snowflake](https://signup.snowflake.com/?utm_cta=quickstarts_) 평가판 계정\r\n\r\n### 구축할 것\r\n\r\n- 오브젝트 쿼리를 위한 데이터베이스 오브젝트 및 사용자 정의 함수.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 기본 사항부터 시작하기\r\n\r\n\r\n#### 우선 여러분의 Snowflake 계정을 생성하고 사용자 권한을 관리하는 방법을 다루겠습니다.\r\n\r\n### Snowflake 계정 생성\r\n\r\nSnowflake는 무료로 Snowflake 서비스를 이용해 볼 수 있도록 [평가판 계정](https://signup.snowflake.com/?utm_cta=quickstarts_)을 제공합니다. 프롬프트에 따라 이메일로 계정을 활성화합니다.\r\n\r\nSnowflake 계정이 이미 있다면 이를 사용할 수 있습니다.  데이터베이스 생성 권한을 가진 역할만 있으면 됩니다.\r\n\r\n### Snowflake의 웹 콘솔 액세스\r\n\r\n```\r\nhttps://\u003Cyour-account-name\u003E.snowflakecomputing.com/console/login\r\n```\r\n\r\n브라우저에서 [웹 인터페이스](https://docs.snowflake.com/ko/user-guide/connecting.html#logging-in-using-the-web-interface)에 로그인합니다. URL은 여러분의 [계정 이름](https://docs.snowflake.com/ko/user-guide/connecting.html#your-snowflake-account-name)과 잠재적으로 지역을 포함합니다.\r\n\r\n### 역할 변경\r\n\r\nPositive : Snowflake 계정이 이미 있다면 데이터베이스 생성 권한을 가진 역할을 사용할 수 있습니다.\r\n\r\n![Snowflake_SwitchRole_DemoUser-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_SwitchRole_DemoUser.png)\r\n\r\n기본값인 \u003Ccode\u003ESYSADMIN\u003C/code\u003E에서 \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E으로 계정 역할을 전환합니다. **필수는 아니지만**, 이 랩의 스크린샷과 웹 UI가 일치하게 만들어 줍니다.\r\n\r\n새로운 계정을 생성하고 역할을 구성했으니 다음 섹션에서 데이터베이스 오브젝트 생성을 시작할 준비가 되었습니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 데이터베이스 오브젝트 생성\r\n\r\n\r\nSnowflake 계정에 쉽게 접근할 수 있으니 데이터베이스 오브젝트를 생성할 시간입니다.\r\n\r\nSnowflake 웹 콘솔 내에서 **Worksheets**로 이동한 다음 새로운 워크시트를 사용하여 다음 명령을 실행합니다.\r\n\r\n### 1. 새로운 데이터베이스 생성\r\n\r\n```sql\r\ncreate or replace database udf_db;\r\n```\r\n\r\n위 명령으로 `udf_db`라는 새로운 데이터베이스를 구축합니다.\r\n\r\n![Snowflake_udf_CreateDB-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_CreateDB.png)\r\n\r\nPositive : **Results**는 **Database UDF_DB successfully created**라는 상태 메시지를 표시해야 합니다.\r\n\r\n### 2. 새로운 스키마 생성\r\n\r\n```sql\r\ncreate schema if not exists udf_schema_public;\r\n```\r\n\r\n위 명령을 사용하여 `udf_schema_public`이라는 스키마를 생성합니다.\r\n\r\n![Snowflake_udf_CreateSchema-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_CreateSchema.png)\r\n\r\nPositive : **Results**는 **Schema UDF_SCHEMA_PUBLIC successfully created**라는 상태 메시지를 표시해야 합니다.\r\n\r\n### 3. 새로운 테이블에 샘플 데이터 복사\r\n\r\n```sql\r\ncreate or replace table udf_db.udf_schema_public.sales \r\n  as\r\n    (select * from snowflake_sample_data.tpcds_sf10tcl.store_sales sample block (1));\r\n\r\n```\r\n\r\n'sales'라는 테이블을 생성하고 이 명령으로 매출 데이터를 가져옵니다. 샘플 데이터를 가져오는 데 이전 단계에서 보다 더 긴 실행 시간이 소요될 것입니다.\r\n\r\n![Snowflake_udf_CreateTable-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_CreateTable.png)\r\n\r\nPositive : **Results**는 **Table SALES successfully created**라는 상태 메시지를 표시해야 합니다.\r\n\r\n필요한 데이터베이스 오브젝트가 생성되었으니 다음 섹션에서 UDF로 작업하는 메인 수업으로 이동할 시간입니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 스칼라 사용자 정의 함수 실행\r\n\r\n\r\n샘플 매출 데이터가 포함된 데이터베이스가 있으니 스칼라 UDF 생성을 시도할 준비가 _거의_ 끝났습니다. 시작하기 전에 우선 UDF 명명 규칙에 대해 더 자세히 이해해 보겠습니다.\r\n\r\nNegative : 함수 이름이 데이터베이스와 스키마(예: `udf_db.udf_schema_public.udf_name`)를 지정하지 않는다면 기본값으로 활성 세션이 됩니다. UDF는 데이터베이스 오브젝트이기에 자체적인 [명명 규칙](https://docs.snowflake.com/ko/sql-reference/udf-overview.html#naming-conventions-for-udfs)을 따르는 것이 더 낫습니다. 빠른 연습을 위해 활성 세션에 의존하겠습니다.\r\n\r\n### 1. UDF 생성\r\n\r\n```sql\r\ncreate function udf_max()\r\n  returns NUMBER(7,2)\r\n  as\r\n  $$\r\n    select max(SS_LIST_PRICE) from udf_db.udf_schema_public.sales\r\n  $$\r\n  ;\r\n```\r\n\r\n[SQL 함수](https://docs.snowflake.com/ko/sql-reference/functions/min.html#min-max) `max`는 `SS_LIST_PRICE` 열에서 가장 높은 값을 반환합니다.\r\n\r\n![Snowflake_udf_max-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_max.png)\r\n\r\n이미지는 `udf_max` 함수의 성공적인 생성을 보여 줍니다.\r\n\r\n### 2. UDF 호출\r\n\r\n```sql\r\nselect udf_max();\r\n```\r\n\r\n[SQL 명령](https://docs.snowflake.com/ko/sql-reference/sql/select.html) `select`로 새로운 UDF를 호출합니다.\r\n\r\n![Snowflake_select_udf_max-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_select_udf_max.png)\r\n\r\n위 이미지는 반환된 **Results**입니다.\r\n\r\n이제 UDF 생성의 기본 사항을 연습했으니 새로운 테이블을 반환하는 UDF를 생성하여 다음 섹션에서 한 단계 더 어려운 작업을 시작하겠습니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 사용자 정의 테이블 함수로 쿼리\r\n\r\n\r\n성공적인 스칼라 UDF를 생성한 후 UDTF(사용자 정의 테이블 함수)로 테이블을 반환하는 함수를 만들어 보겠습니다.\r\n\r\n### 1. UDTF 생성\r\n\r\n```sql\r\ncreate or replace function\r\nudf_db.udf_schema_public.get_market_basket(input_item_sk number(38))\r\nreturns table (input_item NUMBER(38,0), basket_item_sk NUMBER(38,0),\r\nnum_baskets NUMBER(38,0))\r\nas\r\n 'select input_item_sk, ss_item_sk basket_Item, count(distinct\r\nss_ticket_number) baskets\r\nfrom udf_db.udf_schema_public.sales\r\nwhere ss_ticket_number in (select ss_ticket_number from udf_db.udf_schema_public.sales where ss_item_sk = input_item_sk)\r\ngroup by ss_item_sk\r\norder by 3 desc, 2';\r\n```\r\n\r\n위 코드 조각은 시장바구니 분석을 포함한 테이블을 반환하는 함수를 생성합니다.\r\n\r\n![Snowflake_udtf-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udtf.png)\r\n\r\n### 2. UDTF 실행\r\n\r\n```sql\r\nselect * from table(udf_db.udf_schema_public.get_market_basket(6139));\r\n```\r\n\r\n스칼라 UDF와 같이 이는 여러분의 함수를 실행합니다.\r\n\r\n![Snowflake_select_udtf-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_select_udtf.png)\r\n\r\n반환된 것은 샘플 매출 데이터를 기반으로 한 시장바구니 분석 테이블입니다.\r\n\r\n여러분은 UDTF를 만드는 것을 연습했으며 UDF에 익숙해졌습니다. 마지막 섹션에서는 필요 없는 데이터베이스 오브젝트를 삭제하겠습니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 정리\r\n\r\n\r\n많은 내용을 다뤘습니다! 마무리하기 전에 이 가이드에서 생성했던 연습 데이터베이스를 삭제하십시오. 이는 생성했던 데이터베이스와 모든 테이블 및 함수를 삭제합니다.\r\n\r\n### 1. 데이터베이스 삭제\r\n\r\n데이터베이스 삭제: `udf_db`.\r\n\r\n```sql\r\ndrop database if exists udf_db;\r\n```\r\n\r\n![Snowflake_udf_DropDB-image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-user-defined-sql-functions-kr/Snowflake_udf_DropDB.png)\r\n\r\n`UDF_DB successfully dropped`의 **Results**를 확인하여 데이터베이스가 완전히 삭제되었는지 확인합니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 종료 및 다음 단계\r\n\r\n\r\n스칼라와 테이블 함수를 모두 연습했기에 이제 SQL UDF를 잘 다룰 수 있을 것입니다. 데이터베이스 오브젝트를 끝냈으니 앞으로의 단계를 살펴볼 시간입니다.\r\n\r\n공유 가능하고 [안전한](https://docs.snowflake.com/ko/sql-reference/udf-secure.html#secure-udfs) 사용자 정의 함수의 잠재력을 고려하십시오. [안전한 UDF의 위력](/blog/the-power-of-secure-user-defined-functions-for-protecting-shared-data/)에 대한 이 게시물에서 시장바구니 분석 테이블과 같은 사용자 정의 함수를 공유하는 방법을 배울 수 있습니다.\r\n\r\n### 다룬 내용\r\n\r\n- Snowflake 계정 등록\r\n- 역할 권한 구성\r\n- 데이터베이스 및 기타 오브젝트 생성\r\n- UDTF로 데이터를 분석하기 위한 테이블 생성\r\n- 사용자 지정 UDF 쿼리\r\n- 모든 오브젝트를 정리하기 위해 데이터베이스 삭제\r\n\r\n### 관련 리소스\r\n\r\nUDF에 대한 더 많은 정보:\r\n\r\n- [SQL UDF](https://docs.snowflake.com/ko/developer-guide/udf/sql/udf-sql.html#sql-udfs)\r\n- [JavaScript UDF](https://docs.snowflake.com/ko/developer-guide/udf/javascript/udf-javascript.html#javascript-udfs)\r\n- [Java UDF](https://docs.snowflake.com/ko/developer-guide/udf/java/udf-java.html#java-udfs)","title":"Quickstart Article Body","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment","model":"snowflake-site/models/quickstart-article",":items":{},":itemsOrder":[]},"flexible_column_cont":{"id":"flexible-column-container-53da7d9ee5","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"id":"container-c0b920b2a1","layout":"SIMPLE",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-4d2828709a","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2024-07-08",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-2348be4718","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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