{"id":17016,"date":"2025-10-16T06:25:29","date_gmt":"2025-10-16T06:25:29","guid":{"rendered":"https:\/\/www.kaashivinfotech.com\/blog\/?p=17016"},"modified":"2025-10-16T06:52:23","modified_gmt":"2025-10-16T06:52:23","slug":"where-sql-statement-7-examples","status":"publish","type":"post","link":"https:\/\/www.kaashivinfotech.com\/blog\/where-sql-statement-7-examples\/","title":{"rendered":"SQL WHERE Clause &#8211; 7 Must-Know Examples"},"content":{"rendered":"<p data-start=\"79\" data-end=\"648\">If you\u2019re knee-deep in databases and <a href=\"https:\/\/www.wikitechy.com\/interview-questions\/sql\/what-is-sql\/\" target=\"_blank\" rel=\"noopener\">SQL<\/a> queries (or even just dabbling in them), you\u2019ve probably heard the term <em data-start=\"192\" data-end=\"213\">WHERE SQL statement<\/em> thrown around. But let\u2019s be honest: the WHERE clause is a beast of its own, capable of making or breaking your queries. It\u2019s one of the most essential tools in your SQL toolbox, but a lot of people\u2014especially beginners\u2014don\u2019t fully understand just how powerful it is. I get it, though. It can feel a bit like navigating a maze at first. So, if you&#8217;re looking to learn how to master this powerful <a href=\"https:\/\/www.wikitechy.com\/tutorials\/sql\/\" target=\"_blank\" rel=\"noopener\">SQL<\/a> feature, you&#8217;re in the right place.<\/p>\n<p data-start=\"650\" data-end=\"904\">In this post, I\u2019m going to walk you through 7 real-world SQL WHERE clause examples that can help you write more efficient and effective queries. By the end, you\u2019ll not only understand the <em data-start=\"842\" data-end=\"863\">WHERE SQL statement<\/em>, but also how to wield it like a pro.<\/p>\n<h3 data-start=\"906\" data-end=\"925\">Key Highlights:<\/h3>\n<ul data-start=\"926\" data-end=\"1135\">\n<li data-start=\"926\" data-end=\"964\">\n<p data-start=\"928\" data-end=\"964\">What is the WHERE SQL statement?<\/p>\n<\/li>\n<li data-start=\"965\" data-end=\"1021\">\n<p data-start=\"967\" data-end=\"1021\">How to filter data effectively using WHERE clauses<\/p>\n<\/li>\n<li data-start=\"1022\" data-end=\"1076\">\n<p data-start=\"1024\" data-end=\"1076\">Practical examples for everyday database queries<\/p>\n<\/li>\n<li data-start=\"1077\" data-end=\"1135\">\n<p data-start=\"1079\" data-end=\"1135\">Advanced tips and tricks for optimizing your queries<\/p>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17019 \" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause.webp\" alt=\"\" width=\"554\" height=\"311\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause.webp 1200w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause-300x169.webp 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause-1024x576.webp 1024w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause-768x432.webp 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause-380x214.webp 380w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause-800x450.webp 800w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-where-clause-1160x653.webp 1160w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/><\/p>\n<h2 data-start=\"1137\" data-end=\"1175\">What is the WHERE SQL Statement?<\/h2>\n<p data-start=\"1177\" data-end=\"1428\">Before we dive into examples, let\u2019s quickly break down what a WHERE SQL statement is. It\u2019s essentially the filtering mechanism of your SQL queries. You use it to specify conditions that must be met in order for a record to be included in your results.<\/p>\n<p data-start=\"1430\" data-end=\"1694\">Imagine you\u2019ve got a massive database of customer data, and you only want to pull up records for customers in a certain city or those who made a purchase in the last month. That\u2019s where the WHERE clause comes in\u2014allowing you to get exactly what you need, and fast.<\/p>\n<p data-start=\"1696\" data-end=\"1720\">Here\u2019s the basic syntax:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT column_name(s)\r\nFROM table_name\r\nWHERE condition;\r\n<\/pre>\n<h2 data-start=\"1873\" data-end=\"1917\">1. Filtering Rows Based on Exact Match \ud83d\udd0d<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17020 \" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/filtering-in-sql.webp\" alt=\"\" width=\"342\" height=\"316\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/filtering-in-sql.webp 868w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/filtering-in-sql-300x277.webp 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/filtering-in-sql-768x709.webp 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/filtering-in-sql-380x351.webp 380w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/filtering-in-sql-800x738.webp 800w\" sizes=\"auto, (max-width: 342px) 100vw, 342px\" \/><\/p>\n<p data-start=\"1919\" data-end=\"2017\">Let\u2019s start simple: sometimes, you just want to pull rows where a column matches a specific value.<\/p>\n<h3 data-start=\"2019\" data-end=\"2031\">Example:<\/h3>\n<p data-start=\"2032\" data-end=\"2119\">You\u2019ve got a customer table, and you want to find all customers who live in \u201cNew York.\u201d<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM customers\r\nWHERE city = 'New York';\r\n<\/pre>\n<p data-start=\"2183\" data-end=\"2344\">The WHERE clause filters out anything that doesn\u2019t match \u201cNew York,\u201d and you get a clean list of all the customers from that city.<\/p>\n<p data-start=\"2346\" data-end=\"2477\"><strong data-start=\"2346\" data-end=\"2357\">Pro Tip<\/strong>: Always use single quotes around text values in SQL! It\u2019s a small thing, but forgetting it can lead to annoying errors.<\/p>\n<h2 data-start=\"2484\" data-end=\"2533\">2. Using Comparison Operators: &gt;, &lt;, &gt;=, &lt;= \ud83e\uddee<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17022 \" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/comparison-operator-in-sql.webp\" alt=\"\" width=\"551\" height=\"311\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/comparison-operator-in-sql.webp 755w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/comparison-operator-in-sql-300x170.webp 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/comparison-operator-in-sql-380x215.webp 380w\" sizes=\"auto, (max-width: 551px) 100vw, 551px\" \/><\/p>\n<p data-start=\"2535\" data-end=\"2655\">What if you want to filter rows based on numeric values? You can use comparison operators like <code class=\"\" data-line=\"\">&gt;<\/code>, <code class=\"\" data-line=\"\">&lt;<\/code>, <code class=\"\" data-line=\"\">&gt;=<\/code>, and <code class=\"\" data-line=\"\">&lt;=<\/code>.<\/p>\n<h3 data-start=\"2657\" data-end=\"2669\">Example:<\/h3>\n<p data-start=\"2670\" data-end=\"2754\">Let\u2019s say you want to pull records of customers who spent more than $500 last month.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM sales\r\nWHERE amount &gt; 500;\r\n<\/pre>\n<p data-start=\"2809\" data-end=\"2947\">This query will give you every sale where the amount is greater than 500. You can mix and match these operators to get even more specific.<\/p>\n<ul data-start=\"2949\" data-end=\"3017\">\n<li data-start=\"2949\" data-end=\"2984\">\n<p data-start=\"2951\" data-end=\"2984\"><code class=\"\" data-line=\"\">&gt;=<\/code> for greater than or equal to<\/p>\n<\/li>\n<li data-start=\"2985\" data-end=\"3017\">\n<p data-start=\"2987\" data-end=\"3017\"><code class=\"\" data-line=\"\">&lt;=<\/code> for less than or equal to<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3019\" data-end=\"3086\">Here\u2019s another one: pull customers who spent between $100 and $500:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM sales\r\nWHERE amount BETWEEN 100 AND 500;\r\n<\/pre>\n<h2 data-start=\"3160\" data-end=\"3212\">3. Filtering with Multiple Conditions (AND\/OR)<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17024 \" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering.webp\" alt=\"\" width=\"574\" height=\"300\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering.webp 1400w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering-300x157.webp 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering-1024x535.webp 1024w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering-768x402.webp 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering-380x199.webp 380w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering-800x418.webp 800w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-filtering-1160x607.webp 1160w\" sizes=\"auto, (max-width: 574px) 100vw, 574px\" \/><\/p>\n<p data-start=\"3214\" data-end=\"3376\">Sometimes, one condition just doesn\u2019t cut it. You might want to filter rows based on several conditions. That&#8217;s where the power of <code class=\"\" data-line=\"\">AND<\/code> and <code class=\"\" data-line=\"\">OR<\/code> comes into play.<\/p>\n<h3 data-start=\"3378\" data-end=\"3390\">Example:<\/h3>\n<p data-start=\"3391\" data-end=\"3521\">Let\u2019s say you\u2019re working with a database of employees, and you need to find those who work in \u201cHR\u201d <strong data-start=\"3490\" data-end=\"3497\">and<\/strong> earn more than $60,000.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM employees\r\nWHERE department = 'HR'\r\nAND salary &gt; 60000;\r\n<\/pre>\n<p>Alternatively, if you want to find employees who either work in \u201cHR\u201d <strong data-start=\"3673\" data-end=\"3679\">or<\/strong> make more than $60,000, you\u2019d use <code class=\"\" data-line=\"\">OR<\/code>.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM employees\r\nWHERE department = 'HR'\r\nOR salary &gt; 60000;\r\n<\/pre>\n<p>Remember: <code class=\"\" data-line=\"\">AND<\/code> narrows your results, while <code class=\"\" data-line=\"\">OR<\/code> broadens them. Use them wisely!<\/p>\n<h2 data-start=\"3888\" data-end=\"3974\">4. Filtering with IN and NOT IN (A More Efficient Way to Handle Multiple Values)<\/h2>\n<p data-start=\"3976\" data-end=\"4120\">In some cases, you might have a list of values you want to filter by. Instead of writing multiple <code class=\"\" data-line=\"\">OR<\/code> conditions, you can use the <code class=\"\" data-line=\"\">IN<\/code> keyword.<\/p>\n<h3 data-start=\"4122\" data-end=\"4134\">Example:<\/h3>\n<p data-start=\"4135\" data-end=\"4242\">Let\u2019s say you want to pull records of customers who live in either \u201cNew York,\u201d \u201cLos Angeles,\u201d or \u201cChicago.\u201d<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM customers\r\nWHERE city IN ('New York', 'Los Angeles', 'Chicago');\r\n<\/pre>\n<p>This is far more efficient than writing:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM customers\r\nWHERE city = 'New York' \r\nOR city = 'Los Angeles' \r\nOR city = 'Chicago';\r\n<\/pre>\n<p>Similarly, if you want to exclude these cities, you can use <code class=\"\" data-line=\"\">NOT IN<\/code>:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM customers\r\nWHERE city NOT IN ('New York', 'Los Angeles', 'Chicago');\r\n<\/pre>\n<h2 data-start=\"4656\" data-end=\"4695\">5. Using LIKE for Pattern Matching<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17027 \" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-scaled.webp\" alt=\"\" width=\"412\" height=\"240\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-scaled.webp 2560w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-300x174.webp 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-1024x595.webp 1024w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-768x446.webp 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-1536x893.webp 1536w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-2048x1190.webp 2048w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-380x221.webp 380w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-800x465.webp 800w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/pattern-matching-1160x674.webp 1160w\" sizes=\"auto, (max-width: 412px) 100vw, 412px\" \/><\/p>\n<p data-start=\"4697\" data-end=\"4860\">There\u2019s always that situation where you don\u2019t know the exact value, but you know part of it. For example, if you want to find customers whose names start with &#8220;A.&#8221;<\/p>\n<h3 data-start=\"4862\" data-end=\"4874\">Example:<\/h3>\n<p data-start=\"4875\" data-end=\"4979\">You\u2019d use <code class=\"\" data-line=\"\">LIKE<\/code> and the wildcard character <code class=\"\" data-line=\"\">%<\/code> to find customers whose names start with the letter \u201cA\u201d:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM customers\r\nWHERE name LIKE 'A%';\r\n<\/pre>\n<p data-start=\"5040\" data-end=\"5171\">Here, <code class=\"\" data-line=\"\">%<\/code> represents any number of characters, so this query will return all customers with names like &#8220;Alice,&#8221; &#8220;Aaron,&#8221; or &#8220;Abby.&#8221;<\/p>\n<p data-start=\"5173\" data-end=\"5319\">You can also use <code class=\"\" data-line=\"\">_<\/code> to match a single character. For instance, to find customers with names that are exactly five characters long, you could use:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM customers\r\nWHERE name LIKE '_____';\r\n<\/pre>\n<h2 data-start=\"5388\" data-end=\"5429\">6. Combining WHERE with NULL Values<\/h2>\n<p data-start=\"5431\" data-end=\"5594\">Sometimes you need to filter out rows where a value is unknown, or <code class=\"\" data-line=\"\">NULL<\/code>. For example, if you want to find all orders that have no shipping address specified:<\/p>\n<h3 data-start=\"5596\" data-end=\"5608\">Example:<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT * \r\nFROM orders\r\nWHERE shipping_address IS NULL;\r\n<\/pre>\n<p>This query filters out all rows where there is no shipping address. Use <code class=\"\" data-line=\"\">IS NULL<\/code> to check for null values, and <code class=\"\" data-line=\"\">IS NOT NULL<\/code> if you want to find rows where the value is not null.<\/p>\n<h2 data-start=\"5861\" data-end=\"5915\">7. Using the WHERE SQL Statement with Aggregates<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17029 \" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1.webp\" alt=\"\" width=\"563\" height=\"207\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1.webp 1200w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1-300x110.webp 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1-1024x376.webp 1024w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1-768x282.webp 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1-380x140.webp 380w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1-800x294.webp 800w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/10\/sql-aggrecates-1-1160x426.webp 1160w\" sizes=\"auto, (max-width: 563px) 100vw, 563px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p data-start=\"5917\" data-end=\"6166\">Often, you\u2019ll find yourself working with aggregate functions like <code class=\"\" data-line=\"\">COUNT()<\/code>, <code class=\"\" data-line=\"\">SUM()<\/code>, and <code class=\"\" data-line=\"\">AVG()<\/code>. But what if you only want those aggregate results for certain groups? That\u2019s where the WHERE clause comes in again, even when you&#8217;re using aggregates.<\/p>\n<h3 data-start=\"6168\" data-end=\"6180\">Example:<\/h3>\n<p data-start=\"6181\" data-end=\"6292\">Let\u2019s say you want to find the total sales for each product, but only for sales where the amount is above $100.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\">SELECT product_id, SUM(amount) AS total_sales\r\nFROM sales\r\nWHERE amount &gt; 100\r\nGROUP BY product_id;\r\n<\/pre>\n<p>In this case, the WHERE clause filters out any sales records with amounts less than or equal to 100 before the aggregation happens.<\/p>\n<h2>Final Thoughts:<\/h2>\n<p data-start=\"6614\" data-end=\"6896\">The WHERE clause is more than just a way to filter data\u2014it\u2019s a tool that can make your queries more efficient and precise. Whether you&#8217;re just starting out with SQL or looking to refine your skills, mastering the WHERE SQL statement is key to writing queries that get results, fast.<\/p>\n<p data-start=\"6898\" data-end=\"7082\">So, next time you\u2019re writing a SQL query, remember these examples and tips. Get comfortable with filtering data in all sorts of ways, and your queries will be faster and more powerful.<\/p>\n<p data-start=\"7084\" data-end=\"7270\">Got your own favorite WHERE SQL statement tricks or need help with something specific? Drop a comment below! I&#8217;d love to hear your thoughts and chat more about this powerful SQL tool.<\/p>\n<p data-start=\"7084\" data-end=\"7270\">Kaashiv Infotech Offers, <a href=\"https:\/\/www.kaashivinfotech.com\/sql-server-course-in-chennai\/\">SQL Course<\/a>, <a href=\"https:\/\/internship.kaashivinfotech.com\/sql-internship\/\">SQL Internship<\/a> &amp; More Visit Our website <a href=\"https:\/\/www.kaashivinfotech.com\/courses\/\">www.kaashivinfotech.com<\/a>.<\/p>\n<h2 data-start=\"7084\" data-end=\"7270\">Related Reads:<\/h2>\n<ul>\n<li>\n<p class=\"entry-title\"><a href=\"https:\/\/www.kaashivinfotech.com\/blog\/common-table-expression-cte-in-sql\/\">Common Table Expression (CTE) in SQL: 7 Lessons That Changed How I Write Queries<\/a><\/p>\n<\/li>\n<li>\n<p class=\"entry-title\"><a href=\"https:\/\/www.kaashivinfotech.com\/blog\/sql-update-query-explained-2025-guide\/\">SQL UPDATE Query Explained (2025 Guide): Syntax, Examples, and Mistakes Developers Still Make<\/a><\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"If you\u2019re knee-deep in databases and SQL queries (or even just dabbling in them), you\u2019ve probably heard the&hellip;","protected":false},"author":8,"featured_media":17034,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"default","csco_page_header_type":"default","csco_page_load_nextpost":"default","footnotes":""},"categories":[3204],"tags":[9907,9905,9906,9901,9904,9900,9903,9902],"class_list":["post-17016","post","type-post","status-publish","format-standard","has-post-thumbnail","category-sql","tag-order-by-clause-in-sql","tag-sql-select-statement-examples","tag-sql-where-like","tag-sql-where-multiple-conditions","tag-where-clause-in-sql-example","tag-where-sql-statement-example","tag-where-sql-statement-oracle","tag-where-sql-statement-w3schools","cs-entry"],"_links":{"self":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/17016","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/comments?post=17016"}],"version-history":[{"count":1,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/17016\/revisions"}],"predecessor-version":[{"id":17035,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/17016\/revisions\/17035"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/media\/17034"}],"wp:attachment":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/media?parent=17016"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/categories?post=17016"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/tags?post=17016"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}