{"id":86,"date":"2019-08-22T02:22:42","date_gmt":"2019-08-22T02:22:42","guid":{"rendered":"https:\/\/snowflake.pavlik.us\/?p=86"},"modified":"2020-01-26T19:26:17","modified_gmt":"2020-01-26T19:26:17","slug":"executing-multiple-sql-statements-in-a-stored-procedure","status":"publish","type":"post","link":"https:\/\/snowflake.pavlik.us\/index.php\/2019\/08\/22\/executing-multiple-sql-statements-in-a-stored-procedure\/","title":{"rendered":"Executing Multiple SQL Statements in a Stored Procedure"},"content":{"rendered":"\n

A classic DBA technique to run a large number of SQL statements is to create them using a concatenated select statement. Suppose you need to delete all tables that end with “TEST”. You can list them in Snowflake’s INFORMATION_SCHEMA using:<\/p>\n\n\n\n

select “TABLE_NAME” from INFORMATION_SCHEMA.TABLES where “TABLE_NAME” ilike ‘%TEST’;<\/p>\n\n\n\n

If you need to drop a handful of tables that way, a list if enough. If there are dozens or hundreds, this works better:<\/p>\n\n\n

\nselect 'drop table ' || "TABLE_NAME" || ';' from INFORMATION_SCHEMA.TABLES where "TABLE_NAME" ilike '%TEST';\n<\/pre><\/div>\n\n\n
The above example generates a drop statement for each table in a database that ends with TEST. You can use this technique to generate bulk SQL to perform a wide range of management tasks. For example you may want to change the ownership of tables in bulk like this:<\/p>\n\n\n
\nSELECT 'grant ownership on table ' || \n       table_name || \n       ' to role my_new_role copy grants;' \n       AS SQL_COMMAND\nFROM INFORMATION_SCHEMA.TABLE_PRIVILEGES \nWHERE grantor = 'old_grant_role';\n<\/pre><\/div>\n\n\n
Executing this SQL will generate rows that look like this:<\/p>\n\n\n\n
Row<\/code><\/td>SQL_COMMAND<\/code><\/td><\/tr>
1<\/code><\/td>grant ownership on table CUSTOMER to role my_new_role copy grants;<\/code><\/td><\/tr>
2<\/code><\/td>grant ownership on table LINEITEM to role my_new_role copy grants;<\/code><\/td><\/tr>
3<\/code><\/td>grant ownership on table NATION to role my_new_role copy grants;<\/code><\/td><\/tr>
4<\/code><\/td>grant ownership on table ORDERS to role my_new_role copy grants;<\/code><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
You can see where this is heading. A SQL statement generates statements to run, and then someone — or preferably something<\/strong> by automation — runs them. <\/p>\n\n\n\n
Here is that something. The Snowflake stored procedure below will:<\/p>\n\n\n\n
  • Accept a string parameter that is a SQL statement designed to generate rows of SQL statements to execute.<\/li>
  • Execute the input SQL statement to generate a list of SQL statements to run.<\/li>
  • Run all statements identified by the “SQL_COMMAND” column one at a time.<\/li><\/ul>\n\n\n
    \nuse database TEST;\nuse warehouse TEST;\n\ncreate or replace procedure RunBatchSQL(sqlCommand String)\n    returns string\n    language JavaScript\nas\n$$\n\/**\n * Stored procedure to execute multiple SQL statements generated from a SQL query\n * Note that this procedure will always use the column named "SQL_COMMAND"\n *\n * @param {String} sqlCommand: The SQL query to run to generate one or more SQL commands \n * @return {String}: A string containing all the SQL commands executed, each separated by a newline. \n *\/\n      cmd1_dict = {sqlText: SQLCOMMAND};\n      stmt = snowflake.createStatement(cmd1_dict);\n   \n      rs = stmt.execute();\n\n      var s = '';\n\n      while (rs.next())  {\n          cmd2_dict = {sqlText: rs.getColumnValue("SQL_COMMAND")};\n          stmtEx = snowflake.createStatement(cmd2_dict);\n          stmtEx.execute();\n          s += rs.getColumnValue(1) + "\\n";\n          }\n          \n      return s;\n      \n$$\n;\n\n-- This is a select query that will generate a list of SQL commands to excute, in this case some grant statements. \n-- This SQL will generate rows to grant select on all tables for the DBA role (change to specify another role). \nselect distinct ('grant select on table ' || table_schema || '.' || table_name || ' to role DBA;') AS SQL_COMMAND\nfrom INFORMATION_SCHEMA.TABLE_PRIVILEGES\nwhere TABLE_SCHEMA <> 'AUDIT'\norder by SQL_COMMAND;\n\n-- As a convienience, this grabs the last SQL run so that it's easier to insert into the parameter used to call the stored procedure. \nset query_text = (  select QUERY_TEXT\n                    from table(information_schema.query_history(result_limit => 2))\n                    where SESSION_ID = Current_Session() and QUERY_TYPE = 'SELECT' order by START_TIME desc);\n\n-- Confirm that the query_text variable has the correct SQL query to generate our SQL commands (grants in this case) to run.\nselect $query_text;\n\n-- Run the stored procedure. Note that to view its output better, double click on the output to see it in multi-line format,\nCall RunBatchSQL($query_text);\n\n--Check the last several queries run to make sure it worked.\nselect QUERY_TEXT\nfrom table(information_schema.query_history(result_limit => 100))\nwhere SESSION_ID = Current_Session() order by START_TIME desc;\n<\/pre><\/div>","protected":false},"excerpt":{"rendered":"
    A classic DBA technique to run a large number of SQL statements is to create them using a concatenated select statement. Suppose you need to delete all tables that end with “TEST”. You can list them in Snowflake’s INFORMATION_SCHEMA using: select “TABLE_NAME” from INFORMATION_SCHEMA.TABLES where “TABLE_NAME” ilike ‘%TEST’; If you need to drop a handful […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,13],"tags":[],"class_list":["post-86","post","type-post","status-publish","format-standard","hentry","category-sql","category-stored-procedures-sql"],"yoast_head":"\r\nExecuting Multiple SQL Statements in a Stored Procedure - Snowflake in the Carolinas<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/snowflake.pavlik.us\/index.php\/2019\/08\/22\/executing-multiple-sql-statements-in-a-stored-procedure\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Executing Multiple SQL Statements in a Stored Procedure - Snowflake in the Carolinas\" \/>\r\n<meta property=\"og:description\" content=\"A classic DBA technique to run a large number of SQL statements is to create them using a concatenated select statement. 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You can list them in Snowflake’s INFORMATION_SCHEMA using: select “TABLE_NAME” from INFORMATION_SCHEMA.TABLES where “TABLE_NAME” ilike ‘%TEST’; If you need to drop a handful […]\" \/>\r\n<meta property=\"og:url\" content=\"https:\/\/snowflake.pavlik.us\/index.php\/2019\/08\/22\/executing-multiple-sql-statements-in-a-stored-procedure\/\" \/>\r\n<meta property=\"og:site_name\" content=\"Snowflake in the Carolinas\" \/>\r\n<meta property=\"article:published_time\" content=\"2019-08-22T02:22:42+00:00\" \/>\r\n<meta property=\"article:modified_time\" content=\"2020-01-26T19:26:17+00:00\" \/>\r\n<meta name=\"author\" content=\"Greg Pavlik\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Greg Pavlik\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\r\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/snowflake.pavlik.us\\\/index.php\\\/2019\\\/08\\\/22\\\/executing-multiple-sql-statements-in-a-stored-procedure\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/snowflake.pavlik.us\\\/index.php\\\/2019\\\/08\\\/22\\\/executing-multiple-sql-statements-in-a-stored-procedure\\\/\"},\"author\":{\"name\":\"Greg Pavlik\",\"@id\":\"https:\\\/\\\/snowflake.pavlik.us\\\/#\\\/schema\\\/person\\\/019455f4675665b6cf5edea31ec44d7b\"},\"headline\":\"Executing Multiple SQL Statements in a Stored Procedure\",\"datePublished\":\"2019-08-22T02:22:42+00:00\",\"dateModified\":\"2020-01-26T19:26:17+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/snowflake.pavlik.us\\\/index.php\\\/2019\\\/08\\\/22\\\/executing-multiple-sql-statements-in-a-stored-procedure\\\/\"},\"wordCount\":226,\"commentCount\":0,\"articleSection\":[\"SnowSQL\",\"Stored Procedures\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/snowflake.pavlik.us\\\/index.php\\\/2019\\\/08\\\/22\\\/executing-multiple-sql-statements-in-a-stored-procedure\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/snowflake.pavlik.us\\\/index.php\\\/2019\\\/08\\\/22\\\/executing-multiple-sql-statements-in-a-stored-procedure\\\/\",\"url\":\"https:\\\/\\\/snowflake.pavlik.us\\\/index.php\\\/2019\\\/08\\\/22\\\/executing-multiple-sql-statements-in-a-stored-procedure\\\/\",\"name\":\"Executing Multiple SQL Statements in a Stored Procedure - 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