{"id":27795,"date":"2025-05-06T09:01:16","date_gmt":"2025-05-06T09:01:16","guid":{"rendered":"http:\/\/www.withdata.com\/blog\/?p=27795"},"modified":"2026-03-07T02:00:52","modified_gmt":"2026-03-07T02:00:52","slug":"store-rtf-in-sql-server-nvarcharmax","status":"publish","type":"post","link":"https:\/\/www.withdata.com\/blog\/clob\/store-rtf-in-sql-server-nvarcharmax.html","title":{"rendered":"Store RTF in SQL Server VARCHAR(MAX)"},"content":{"rendered":"<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Rich_Text_Format\">RTF<\/a>(Rich Text Format) can be stored as SQL Server VARCHAR(MAX) data.<\/p>\n<h2>1. SQL Server Character Large Field Overview<\/h2>\n<p>SQL Server&#8217;s VARCHAR(MAX) replaces the deprecated TEXT type, supporting up to 2GB for large character data.<\/p>\n<p>Compatible with regular VARCHAR syntax, no special initialization required, simple to operate.<\/p>\n<h2>2. Pure T-SQL Implementation Steps<\/h2>\n<h3>Step 1: Create Table with VARCHAR(MAX) Field<\/h3>\n<pre>CREATE TABLE RTF_DOCS (\r\n    DOC_ID INT PRIMARY KEY,\r\n    DOC_NAME VARCHAR(100) NOT NULL,\r\n    RTF_CONTENT VARCHAR(MAX) NOT NULL, -- Core field for RTF storage\r\n    CREATE_TIME DATETIME DEFAULT GETDATE()\r\n);\r\n<\/pre>\n<h3>Step 2: Insert RTF Text into VARCHAR(MAX)<\/h3>\n<pre>-- Method 1: Insert short RTF text directly\r\nINSERT INTO RTF_DOCS (DOC_ID, DOC_NAME, RTF_CONTENT)\r\nVALUES (\r\n    1,\r\n    'test.rtf',\r\n    '{\\\\rtf1\\\\ansi\\\\deff0 {\\\\fonttbl {\\\\f0 Calibri;}} \\\\pard\\\\f0\\\\fs22 SQL Server RTF Test\\\\par}'\r\n);\r\n\r\n-- Method 2: Insert external RTF file (read via OPENROWSET)\r\nINSERT INTO RTF_DOCS (DOC_ID, DOC_NAME, RTF_CONTENT)\r\nSELECT \r\n    2,\r\n    'imported.rtf',\r\n    BulkColumn -- Read file content as character stream\r\nFROM OPENROWSET(\r\n    BULK 'C:\\path\\to\\test.rtf', -- Local RTF file path\r\n    SINGLE_CLOB -- Read as character (SINGLE_BLOB = binary)\r\n) AS RTF_FILE;\r\n<\/pre>\n<h3>Step 3: Query\/Edit RTF Content<\/h3>\n<pre>-- Query full RTF content\r\nSELECT DOC_NAME, RTF_CONTENT FROM RTF_DOCS WHERE DOC_ID = 1;\r\n\r\n-- Truncate RTF preview (first 150 characters)\r\nSELECT DOC_NAME, SUBSTRING(RTF_CONTENT, 1, 150) AS RTF_PREVIEW FROM RTF_DOCS;\r\n\r\n-- Update RTF content\r\nUPDATE RTF_DOCS \r\nSET RTF_CONTENT = '{\\\\rtf1\\\\ansi\\\\deff0 \\\\pard\\\\f0\\\\fs28 Updated SQL Server RTF\\\\par}'\r\nWHERE DOC_ID = 1;\r\n<\/pre>\n<h3>Step 4: Delete RTF Record<\/h3>\n<pre>DELETE FROM RTF_DOCS WHERE DOC_ID = 2;\r\n<\/pre>\n<h2>3. Simplify SQL Server VARCHAR(MAX) RTF Management with DBBlobEditor<\/h2>\n<p><a rel=\"noopener\" href=\"https:\/\/www.withdata.com\/dbblobeditor\/\" target=\"_blank\">DBBlobEditor<\/a> makes RTF management for SQL Server VARCHAR(MAX) easier:<\/p>\n<ul>\n<li>\n<h3>View \/ Edit RTF<\/h3>\n<p><a href=\"\/blog\/sqllobeditor\/view-rtf-data-in-sql-server-varcharmax-read-display-rtf-from-sql-server-varcharmax-column.html\">Visually browse and edit RTF content in SQL Server VARCHAR(MAX) fields<\/a> without command-line tools.<a rel=\"noopener\" href=\"\/images\/lobeditor\/blob-rtf.png\" target=\"_blank\">?<\/a><\/li>\n<li>\n<h3>Insert RTF into SQL Server VARCHAR(MAX)<\/h3>\n<p><a href=\"\/blog\/sqllobeditor\/import-rtf-to-sql-server-text-ntext-varcharmax-nvarcharmax.html\">Bulk import RTF into SQL Server VARCHAR(MAX)<\/a> with few clicks.<\/li>\n<li>\n<h3>Extract SQL Server VARCHAR(MAX) to RTF<\/h3>\n<p><a href=\"\/blog\/sqllobeditor\/sql-server-export-text-ntext-varcharmax-nvarcharmax-to-rtf.html\">Bulk export SQL Server VARCHAR(MAX) to RTF files<\/a> visually, avoiding complex scripts.<\/li>\n<\/ul>\n<h2>4. Notes<\/h2>\n<ul>\n<li>Enable OPENROWSET first: `sp_configure &#8216;show advanced options&#8217;, 1; RECONFIGURE; sp_configure &#8216;ad hoc distributed queries&#8217;, 1; RECONFIGURE;`<\/li>\n<li>VARCHAR(MAX) is character encoding-sensitive; store RTF in UTF-8 uniformly<\/li>\n<li>Batch concatenation is recommended for large RTF inserts to avoid long character strings in single commits<\/li>\n<\/ul>\n<hr \/>\n<h3>Related Guides<\/h3>\n<ul>\n<li><a href=\"\/blog\/clob\/store-rtf-in-clob.html\">Store RTF in CLOB: Complete Guide for Character Fields Across Databases<\/a><\/li>\n<li><a href=\"\/blog\/clob\/store-rtf-in-db2-clob.html\">Store RTF in DB2 CLOB<\/a><\/li>\n<li><a href=\"\/blog\/clob\/store-rtf-in-oracle-clob.html\">Store RTF in Oracle CLOB<\/a><\/li>\n<li><a href=\"\/blog\/clob\/store-rtf-in-mysql-text.html\">Store RTF in MySQL TEXT<\/a><\/li>\n<li><a href=\"\/blog\/clob\/store-rtf-in-postgresql-text.html\">Store RTF in PostgreSQL TEXT<\/a><\/li>\n<li><a href=\"\/blog\/clob\/store-rtf-in-sqlite-text.html\">Store RTF in SQLite TEXT<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>RTF(Rich Text Format) can be stored as SQL Server VARCHAR(MAX) data. 1. SQL Server Character Large Field Overview SQL Server&#8217;s VARCHAR(MAX) replaces the deprecated TEXT type, supporting up to 2GB for large character data. Compatible with regular VARCHAR syntax, no special initialization required, simple to operate. 2. Pure T-SQL Implementation Steps Step 1: Create Table [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4526],"tags":[100,4541,2106,1321],"class_list":["post-27795","post","type-post","status-publish","format-standard","hentry","category-clob","tag-clob","tag-nvarcharmax","tag-rtf","tag-sql-server"],"_links":{"self":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/27795","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/comments?post=27795"}],"version-history":[{"count":6,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/27795\/revisions"}],"predecessor-version":[{"id":45453,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/27795\/revisions\/45453"}],"wp:attachment":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/media?parent=27795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/categories?post=27795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/tags?post=27795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}