{"id":171965,"date":"2026-02-19T20:06:33","date_gmt":"2026-02-19T19:06:33","guid":{"rendered":"https:\/\/liora.io\/en\/?p=171965"},"modified":"2026-02-19T20:06:34","modified_gmt":"2026-02-19T19:06:34","slug":"like-sql-how-to-use-this-search-function","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/like-sql-how-to-use-this-search-function","title":{"rendered":"LIKE SQL: How to use this search function"},"content":{"rendered":"<p><strong>Developers and data experts can use SQL to communicate with databases. Thanks to various queries, you can select certain information, update a table, add data, delete data, and so on. Among the commands you need to know is the LIKE SQL query.<\/strong><\/p>\nBut what is it used for? How do you use it? Discover the answers with a few examples of concrete applications.\n<h2>Definition of LIKE SQL<\/h2>\nThe LIKE operator is one of the essential commands of the <a href=\"https:\/\/liora.io\/en\/sql-learn-all-about-the-programming-language-for-databases\">SQL computer language<\/a>. Its purpose is to search for specific data within a table. To achieve this, LIKE SQL uses templates to define exactly what you need. For example, if you want to select customers whose names start with &#8220;de&#8221; or end with &#8220;in&#8221;, etc., you can use the &#8220;in&#8221; and &#8220;out&#8221; patterns.\n\n?Related articles:\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"656\"><\/colgroup>\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SQL DELETE: How do I use this query?&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/sql-delete-how-do-i-use-this-query\"><a href=\"https:\/\/liora.io\/en\/sql-delete-how-do-i-use-this-query\" target=\"_blank\" rel=\"noopener\">SQL DELETE: How do I use this query?<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SQL Developer: What is it? What's it for?&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/sql-developer-what-is-it-whats-it-for\"><a href=\"https:\/\/liora.io\/en\/sql-developer-what-is-it-whats-it-for\" target=\"_blank\" rel=\"noopener\">SQL Developer: What is it? What&#8217;s it for?<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SQL Tutorial: Top 5 Most Useful Methods&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/sql-tutorial-top-5-most-useful-methods\"><a href=\"https:\/\/liora.io\/en\/sql-tutorial-top-5-most-useful-methods\" target=\"_blank\" rel=\"noopener\">SQL Tutorial: Top 5 Most Useful Methods<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SQL joins: everything you need to know about table associations&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/sql-joins-everything-you-need-to-know-about\"><a href=\"https:\/\/liora.io\/en\/sql-joins-everything-you-need-to-know-about\" target=\"_blank\" rel=\"noopener\">SQL joins: everything you need to know about table associations<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SQL vs NoSQL: differences, uses, advantages and disadvantages&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/sql-vs-nosql\"><a href=\"https:\/\/liora.io\/en\/sql-vs-nosql\" target=\"_blank\" rel=\"noopener\">SQL vs NoSQL: differences, uses, advantages and disadvantages<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;NoSQL: All about non-relational databases&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/all-about-non-relational-databases\"><a href=\"https:\/\/liora.io\/en\/all-about-non-relational-databases\" target=\"_blank\" rel=\"noopener\">NoSQL: All about non-relational databases<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>How do I use LIKE SQL?<\/h2><figure class=\"wp-block-image size-large\" style=\"margin-top:var(--wp--preset--spacing--columns);margin-bottom:var(--wp--preset--spacing--columns)\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"572\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-1024x572.jpg\" alt=\"A man helps a woman work on a laptop in a modern office.\" class=\"wp-image-207694\" srcset=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-56x56.jpg 56w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-115x64.jpg 115w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-150x150.jpg 150w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-210x117.jpg 210w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-300x167.jpg 300w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-410x270.jpg 410w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-440x246.jpg 440w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-448x448.jpg 448w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-587x510.jpg 587w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-768x429.jpg 768w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-785x438.jpg 785w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-1024x572.jpg 1024w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-1250x590.jpg 1250w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-1440x680.jpg 1440w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-1536x857.jpg 1536w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer-2048x1143.jpg 2048w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2026\/02\/collaboration-office-computer.jpg 2560w\" sizes=\"(max-width: 1024px) 100vw, 1024px\"><\/figure>\nTo use the<strong> LIKE SQL query,<\/strong> the most common syntax is as follows:\n\nSELECT *\nFROM table\nWHERE column LIKE model\n\nWith this command, you can select data within a table, in a column, according to the model <a href=\"https:\/\/liora.io\/en\/sql-tutorial-top-5-most-useful-methods\">defined by LIKE SQL. But what is this search pattern?<\/a>\n\nIt&#8217;s defined by wildcards. These replace the other characters in your string. There are two main wildcards. These are :\n\n%: represents all other characters.\n_: represents a single character.\n\nFrom there, here are the possible combinations:\n<ul>\n \t<li>LIKE &#8216;%a&#8217;: allows you to search for all strings ending in &#8220;a&#8221;.<\/li>\n \t<li>LIKE &#8216;a%&#8217;: conversely, you can search for all strings beginning with &#8220;a&#8221;.<\/li>\n \t<li>LIKE &#8216;%a%&#8217;: this concerns all records that use the &#8220;a&#8221; character. In this case, the % may indicate only one, several or even no character before or after the &#8220;a&#8221;.<\/li>\n \t<li>LIKE &#8216;a%ion&#8217;: this pattern searches for strings starting with &#8220;a&#8221; and ending with &#8220;ion&#8221;, such as &#8220;airplane&#8221; or &#8220;attention&#8221;.<\/li>\n \t<li>LIKE &#8216;a__&#8217;: this searches for all strings beginning with &#8220;a&#8221;. But the total number of characters is limited to 3.<\/li>\n \t<li>LIKE &#8216;_a%&#8217;: the combination of these two wildcards tells us that the total number of characters doesn&#8217;t matter. However, the &#8220;a&#8221; must be placed in the second position.<\/li>\n<\/ul>\nTo help you better understand the use of LIKE SQL and its various search models, we&#8217;ve provided a number of concrete examples.\n\n<a href=\"\/en\/courses\/data-ai\/\">\nLearn to use LIKE SQL\n<\/a>\n<h3>How do I use LIKE SQL?<\/h3>\nTo use the LIKE SQL query, the most common syntax is as follows:\n\nSELECT *\nFROM table\nWHERE column LIKE model\n\nWith this command, you can select data within a table, in a column, according to the model defined by LIKE SQL. But what is this search pattern?\n\nIt&#8217;s defined by wildcards. These replace the other characters in your string. There are two main wildcards. These are :\n\n%: represents all other characters.\n_: represents a single character.\n\nFrom there, here are the possible combinations:\n<ul>\n \t<li>LIKE &#8216;%a&#8217;: allows you to search for all strings ending in &#8220;a&#8221;.<\/li>\n \t<li>LIKE &#8216;a%&#8217;: conversely, you can search for all strings beginning with &#8220;a&#8221;.<\/li>\n \t<li>LIKE &#8216;%a%&#8217;: this concerns all records that use the &#8220;a&#8221; character. In this case, the % may indicate only one, several or even no character before or after the &#8220;a&#8221;.<\/li>\n \t<li>LIKE &#8216;a%ion&#8217;: this pattern searches for strings starting with &#8220;a&#8221; and ending with &#8220;ion&#8221;, such as &#8220;airplane&#8221; or &#8220;attention&#8221;.<\/li>\n \t<li>LIKE &#8216;a__&#8217;: this searches for all strings beginning with &#8220;a&#8221;. But the total number of characters is limited to 3.<\/li>\n \t<li>LIKE &#8216;_a%&#8217;: the combination of these two wildcards tells us that the total number of characters doesn&#8217;t matter. However, the &#8220;a&#8221; must be placed in the second position.<\/li>\n<\/ul>\nTo help you better understand the use of LIKE SQL and its various search models, we&#8217;ve provided a number of concrete examples.\n\n<a href=\"\/en\/courses\/data-ai\/\">\nLearn more about LIKE SQL\n<\/a>\n<h2>5 examples of using the SQL LIKE query<\/h2>\nFor these examples, we will use the &#8220;Customer&#8221; table below:\n\n\n.tg  {border-collapse:collapse;border-spacing:0;}<br>\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg .tg-8806{background-color:#6434fc;border-color:inherit;color:#efefef;text-align:center;vertical-align:top}<br>\n.tg .tg-baqh{text-align:center;vertical-align:top}<br>\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}<br>\n.tg .tg-mw77{background-color:#6434fc;color:#efefef;text-align:center;vertical-align:top}<br>\n\n<table style=\"undefined;width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n<tr>\n<th>Last Name<\/th>\n<th>First Name<\/th>\n<th>Postal Code<\/th>\n<th>Phone Number<\/th>\n<th>Email<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Martin<\/td>\n<td>Annie<\/td>\n<td>75112<\/td>\n<td>06.40.45.36.61<\/td>\n<td>annie.m@gmail.com<\/td>\n<\/tr>\n<tr>\n<td>Durand<\/td>\n<td>Fabien<\/td>\n<td>17042<\/td>\n<td>07.58.36.21.63<\/td>\n<td>fabien.durand@laposte.net<\/td>\n<\/tr>\n<tr>\n<td>Dupont<\/td>\n<td>Thomas<\/td>\n<td>17015<\/td>\n<td>06.23.98.51.45<\/td>\n<td>dupont17@gmail.com<\/td>\n<\/tr>\n<tr>\n<td>Berger<\/td>\n<td>Justine<\/td>\n<td>77485<\/td>\n<td>06.15.29.85.61<\/td>\n<td>jusber@orange.fr<\/td>\n<\/tr>\n<tr>\n<td>Bernard<\/td>\n<td>Valentin<\/td>\n<td>63950<\/td>\n<td>07.59.65.19.95<\/td>\n<td>beber@sfr.fr<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>LIKE \u2018a%\u2019<\/h3>\nFor this LIKE SQL command, we&#8217;re looking for all customers living in the Charente-Maritime department (17). Here&#8217;s the query syntax:\n\nSELECT *\nFROM Customer\nWHERE Postal code LIKE 77%\n\nAnd here&#8217;s the result:\n\n\n.tg  {border-collapse:collapse;border-spacing:0;}<br>\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg .tg-8806{background-color:#6434fc;border-color:inherit;color:#efefef;text-align:center;vertical-align:top}<br>\n.tg .tg-baqh{text-align:center;vertical-align:top}<br>\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}<br>\n.tg .tg-mw77{background-color:#6434fc;color:#efefef;text-align:center;vertical-align:top}<br>\n\n<table style=\"undefined;width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n<tr>\n<th>Last Name<\/th>\n<th>First Name<\/th>\n<th>Postal Code<\/th>\n<th>Phone Number<\/th>\n<th>Email<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Durand<\/td>\n<td>Fabien<\/td>\n<td>17042<\/td>\n<td>07.58.36.21.63<\/td>\n<td>fabien.durand@laposte.net<\/td>\n<\/tr>\n<tr>\n<td>Dupont<\/td>\n<td>Thomas<\/td>\n<td>17015<\/td>\n<td>06.23.98.51.45<\/td>\n<td>dupont17@gmail.com<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>LIKE \u2018a%\u2019<\/h3>\nThe aim of this LIKE SQL query is to find all customers with a Gmail address. You&#8217;ll need this syntax:\n\nSELECT *\nFROM Customer\nWHERE email LIKE %gmail.com\n\nAnd here&#8217;s the result:\n\n\n.tg  {border-collapse:collapse;border-spacing:0;}<br>\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg .tg-8806{background-color:#6434fc;border-color:inherit;color:#efefef;text-align:center;vertical-align:top}<br>\n.tg .tg-baqh{text-align:center;vertical-align:top}<br>\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}<br>\n.tg .tg-mw77{background-color:#6434fc;color:#efefef;text-align:center;vertical-align:top}<br>\n\n<table style=\"undefined;width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n<tr>\n<th>Last Name<\/th>\n<th>First Name<\/th>\n<th>Postal Code<\/th>\n<th>Phone Number<\/th>\n<th>Email<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Martin<\/td>\n<td>Annie<\/td>\n<td>75112<\/td>\n<td>06.40.45.36.61<\/td>\n<td>annie.m@gmail.com<\/td>\n<\/tr>\n<tr>\n<td>Dupont<\/td>\n<td>Thomas<\/td>\n<td>17015<\/td>\n<td>06.23.98.51.45<\/td>\n<td>dupont17@gmail.com<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>LIKE \u2018%a%\u2019<\/h3>\nHere, we&#8217;re looking for all customers whose first name contains an &#8220;i&#8221;. The syntax is as follows:\n\nSELECT *\nFROM Customer\nWHERE first name LIKE %i%\n\nAnd here&#8217;s the result:\n\n\n.tg  {border-collapse:collapse;border-spacing:0;}<br>\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg .tg-8806{background-color:#6434fc;border-color:inherit;color:#efefef;text-align:center;vertical-align:top}<br>\n.tg .tg-baqh{text-align:center;vertical-align:top}<br>\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}<br>\n.tg .tg-mw77{background-color:#6434fc;color:#efefef;text-align:center;vertical-align:top}<br>\n\n<table style=\"undefined;width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n<tr>\n<th>Last Name<\/th>\n<th>First Name<\/th>\n<th>Postal Code<\/th>\n<th>Phone Number<\/th>\n<th>Email<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Martin<\/td>\n<td>Annie<\/td>\n<td>75112<\/td>\n<td>06.40.45.36.61<\/td>\n<td>annie.m@gmail.com<\/td>\n<\/tr>\n<tr>\n<td>Durand<\/td>\n<td>Fabien<\/td>\n<td>17042<\/td>\n<td>07.58.36.21.63<\/td>\n<td>fabien.durand@laposte.net<\/td>\n<\/tr>\n<tr>\n<td>Berger<\/td>\n<td>Justine<\/td>\n<td>77485<\/td>\n<td>06.15.29.85.61<\/td>\n<td>jusber@orange.fr<\/td>\n<\/tr>\n<tr>\n<td>Bernard<\/td>\n<td>Valentin<\/td>\n<td>63950<\/td>\n<td>07.59.65.19.95<\/td>\n<td>beber@sfr.fr<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>LIKE \u2018_a%\u2019<\/h3>\nFor this LIKE SQL query, we&#8217;re looking for all customers whose second letter in their first name is an &#8220;ai&#8221;. Here&#8217;s the syntax to use:\n\nSELECT *\nFROM Customer\nWHERE first name LIKE %_a%\n\nAnd here&#8217;s the result:\n\n\n.tg  {border-collapse:collapse;border-spacing:0;}<br>\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg .tg-8806{background-color:#6434fc;border-color:inherit;color:#efefef;text-align:center;vertical-align:top}<br>\n.tg .tg-baqh{text-align:center;vertical-align:top}<br>\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}<br>\n.tg .tg-mw77{background-color:#6434fc;color:#efefef;text-align:center;vertical-align:top}<br>\n\n<table style=\"undefined;width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n<tr>\n<th>Last Name<\/th>\n<th>First Name<\/th>\n<th>Postal Code<\/th>\n<th>Phone Number<\/th>\n<th>Email<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Durand<\/td>\n<td>Fabien<\/td>\n<td>17042<\/td>\n<td>07.58.36.21.63<\/td>\n<td>fabien.durand@laposte.net<\/td>\n<\/tr>\n<tr>\n<td>Bernard<\/td>\n<td>Valentin<\/td>\n<td>63950<\/td>\n<td>07.59.65.19.95<\/td>\n<td>beber@sfr.fr<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>LIKE \u2018a%ion\u2019<\/h3>\nFor this last LIKE SQL example, we&#8217;re looking for all customers whose phone number starts with 06 and ends with 61. The syntax is as follows:\n\nSELECT *\nFROM Customer\nWHERE phone number LIKE 06%61\n\nAnd here&#8217;s the result:\n\n\n.tg  {border-collapse:collapse;border-spacing:0;}<br>\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;<br>\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}<br>\n.tg .tg-8806{background-color:#6434fc;border-color:inherit;color:#efefef;text-align:center;vertical-align:top}<br>\n.tg .tg-baqh{text-align:center;vertical-align:top}<br>\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}<br>\n.tg .tg-mw77{background-color:#6434fc;color:#efefef;text-align:center;vertical-align:top}<br>\n\n<table style=\"undefined;width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 100px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n<tr>\n<th>Last Name<\/th>\n<th>First Name<\/th>\n<th>Postal Code<\/th>\n<th>Phone Number<\/th>\n<th>Email<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Martin<\/td>\n<td>Annie<\/td>\n<td>75112<\/td>\n<td>06.40.45.36.61<\/td>\n<td>annie.m@gmail.com<\/td>\n<\/tr>\n<tr>\n<td>Berger<\/td>\n<td>Justine<\/td>\n<td>77485<\/td>\n<td>06.15.29.85.61<\/td>\n<td>jusber@orange.fr<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<br>\n{<br>\n  &#8220;@context&#8221;: &#8220;https:\/\/schema.org&#8221;,<br>\n  &#8220;@type&#8221;: &#8220;FAQPage&#8221;,<br>\n  &#8220;mainEntity&#8221;: [{<br>\n    &#8220;@type&#8221;: &#8220;Question&#8221;,<br>\n    &#8220;name&#8221;: &#8220;SQL LIKE definition&#8221;,<br>\n    &#8220;acceptedAnswer&#8221;: {<br>\n      &#8220;@type&#8221;: &#8220;Answer&#8221;,<br>\n      &#8220;text&#8221;: &#8220;The LIKE operator is one of the essential commands of the SQL computer language. Its purpose is to search for specific data within a table. To achieve this, LIKE SQL uses templates to define exactly what you need. For example, if you want to select customers whose names start with &#8220;de&#8221; or end with &#8220;in&#8221;, etc.&#8221;<br>\n    }<br>\n  },{<br>\n    &#8220;@type&#8221;: &#8220;Question&#8221;,<br>\n    &#8220;name&#8221;: &#8220;How do I use LIKE SQL?&#8221;,<br>\n    &#8220;acceptedAnswer&#8221;: {<br>\n      &#8220;@type&#8221;: &#8220;Answer&#8221;,<br>\n      &#8220;text&#8221;: &#8220;To use the LIKE SQL query, the most common syntax is as follows: SELECT * , FROM table , WHERE column LIKE modele . With this command, you&#8217;ll be able to select data within a table, in a column according to the model defined by LIKE SQL. But what is this search model?&#8221;<br>\n    }<br>\n  }]<br>\n}<br>\n","protected":false},"excerpt":{"rendered":"<p>Developers and data experts can use SQL to communicate with databases. Thanks to various queries, you can select certain information, update a table, add data, delete data, and so on. Among the commands you need to know is the LIKE SQL query. But what is it used for? How do you use it? Discover the [&hellip;]<\/p>\n","protected":false},"author":76,"featured_media":207696,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-171965","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/171965","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/76"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=171965"}],"version-history":[{"count":3,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/171965\/revisions"}],"predecessor-version":[{"id":207697,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/171965\/revisions\/207697"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/207696"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=171965"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=171965"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}