{"id":2144,"date":"2018-07-15T14:35:08","date_gmt":"2018-07-15T14:35:08","guid":{"rendered":"http:\/\/nenadnoveljic.com\/blog\/?p=2144"},"modified":"2018-07-15T14:35:08","modified_gmt":"2018-07-15T14:35:08","slug":"fast-retrieval-of-dynamic_sampling_result-information","status":"publish","type":"post","link":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/","title":{"rendered":"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information"},"content":{"rendered":"<h1> Active Dynamic Sampling (ADS) Trace <\/h1>\n<p>Mauro Pagano wrote a brilliant <a href=\"https:\/\/mauro-pagano.com\/2016\/11\/28\/something-new-about-sql-plan-directives-and-12-2\/\">article<\/a> about persisting ADS results in Oracle 12.2. There&#8217;s no point in repeating what he said. Instead, I&#8217;d like to focus on correlating the information in the ADS trace with the result persisted in the data dictionary. <\/p>\n<p>In the following trace we can see the SQL_ID of the statement for which the dynamic sampling result was stored:<\/p>\n<pre><code>kkoadsComputeSqlid: sql_id=<span style=\"color:blue\">14211580166815199034<\/span>: newText=SELECT \/* DS_SVC *\/  NVL(SUM(C1),0) FROM (SELECT \/*+ qb_name(\"innerQuery\") NO_INDEX_FFS( \"A1\")  *\/ 1 AS C1 FROM anonomized_query_text) innerQuery, startPos = 20, stopPos = 177, newTextLen = 372, sqlLen = 528\r\n     SPD: qosdGetFObjKeyFromStmt: sqlText = SELECT \/* DS_SVC *\/ \/*+ dynamic_sampling(0) no_sql_tune no_monitoring optimizer_features_enable(default) no_parallel  OPT_ESTIMATE(@\"innerQuery\", TABLE, \"A1\", ROWS=919624) *\/ anonymized_query_text) innerQuery (objid = 14211580166815199034)\r\n\r\n    SPD: Generating finding id: type = 2, reason = 7, objcnt = 3, obItr = 0, objid = 14211580166815199034, objtyp = 4, vecsize = 0, obItr = 1, objid = 68737, objtyp = 1, vecsize = 0, obItr = 2, objid = 68743, objtyp = 1, vecsize = 0, fid = 14212484559587940016\r\nqksdsExecute(): Used results from directive cache (status = SUCCESS)\r\nqksdsDumpResult(): DS Results: #exps=1, smp obj=T1\r\nqksdsDumpResult():    T.CARD = qksdsDumpResult(): (mid=753750.0, low=753750.0, hig=753750.0)qksdsDumpResult():\r\nqksdsDumpResult(): end dumping results\r\nqksdsDumpStats(): **************************************************************<\/code><\/pre>\n<p>But the DIRECTIVE_ID is missing. So, we need to query the SQL plan directive (SPD) information in the data dictionary by the SQL_ID. First, however, we need to convert the SQL_ID in the trace from the decimal to the conventional base32 notation. <\/p>\n<h1>Converting the SQL_ID to the Base32 Notation<\/h1>\n<p>That&#8217;s easy with the following SQL, which, by the way, I described in my <a href=\"http:\/\/nenadnoveljic.com\/blog\/converting-hash_value-to-sql_id\/\">previous blog post<\/a>:<\/p>\n<pre><code>define b = 32\r\ncolumn base&&b format a13\r\n\r\ndefine d = <span style=\"color:blue\">14211580166815199034<\/span>\r\ncolumn base10 format 9999999999999999999999\r\n\r\nselect &&d base10,\r\n    listagg(\r\n        substr(\r\n          case &&b when 32 then \r\n            '0123456789abcdfghjkmnpqrstuvwxyz'\r\n          else\r\n            '0123456789abcdefghjkmnpqrstuvwxyz'\r\n          end,\r\n          mod(\r\n            trunc(&&d\/power(&&b,level-1)),\r\n            &&b\r\n          ) + 1 ,\r\n          1\r\n        ) \r\n    ) within group (order by level desc) base&&b \r\n  from dual \r\n  connect by level <= ceil(log(&#038;&#038;b,&#038;&#038;d+1))\r\n;\r\n\r\n                 BASE10 BASE32\r\n----------------------- -------------\r\n   <span style=\"color:blue\">14211580166815199034 cafdcvqa03btu<\/span><\/code><\/pre>\n<p>Now that we&#8217;ve got the SQL_ID in the conventional notation we can query the SPD.<\/p>\n<h1>Slow SPD Query<\/h1>\n<pre><code>select * from dba_sql_plan_directives where notes like '%<span style=\"color:blue\">cafdcvqa03btu<\/span>%' ; <\/code><\/pre>\n<p>The query above is simple, though, extremely inefficient. For example, it took around 173 million consistent gets and 40 minutes to execute it on a live system with many SPDs:<\/p>\n<pre><code><span style=\"color:red\">Elapsed: 00:40:38.61<\/span>\r\n\r\nStatistics\r\n----------------------------------------------------------\r\n     863799  recursive calls\r\n    7351276  db block gets\r\n  <span style=\"color:red\">173320029  consistent gets<\/span>\r\n       4258  physical reads\r\n        652  redo size\r\n       2721  bytes sent via SQL*Net to client\r\n       1378  bytes received via SQL*Net from client\r\n          6  SQL*Net roundtrips to\/from client\r\n     289951  sorts (memory)\r\n          0  sorts (disk)\r\n          1  rows processed<\/code><\/pre>\n<p>That&#8217;s totally unacceptable. <\/p>\n<h1>Fast SPD Query<\/h1>\n<p>To find a faster way, let&#8217;s analyze the dictionary view DBA_SQL_PLAN_DIRECTIVES. It consists of the join between the following two tables: SYS.OPT_DIRECTIVE$ and SYS.FINDING$. Further, the SQL_ID is contained in the NOTE which in turn is returned by the function SYS.DBMS_SPD_INTERNAL.GET_SPD_TEXT. The question is: Where might this function get the SQL_ID from? <\/p>\n<p>We can explore its dependencies to get a clue:<\/p>\n<pre><code>select owner || '.' || name from dba_dependencies \r\n  where referenced_owner='SYS' and referenced_name='DBMS_SPD_INTERNAL' \r\n  order by 1 ;                                                                                                                        \r\n\r\nOWNER||'.'||NAME\r\n--------------------------------------------------------------------------------\r\nSYS.DBA_SQL_PLAN_DIRECTIVES\r\nSYS.DBA_SQL_PLAN_DIR_OBJECTS\r\nSYS.DBMS_SPD\r\nSYS.DBMS_SPD_INTERNAL\r\n...<\/code><\/pre>\n<p>Indeed, the relationship of interest is in SYS.DBA_SQL_PLAN_DIR_OBJECTS. More precisely, the SQL_ID is stored in its column OBJECT_NAME:<\/p>\n<pre><code>column directive_id format 999999999999999999999999\r\n\r\nselect directive_id from dba_sql_plan_dir_objects \r\n  where object_type='SQL STATEMENT' and object_name='<span style=\"color:blue\">cafdcvqa03btu<\/span>' ;\r\n\r\n  DIRECTIVE_ID\r\n-------------------------\r\n      5142923332636503583<\/code><\/pre>\n<p>Finally, we can use the following query to retrieve the entire SPD information:<\/p>\n<pre><code>set long 1000 \r\n\r\nselect * from dba_sql_plan_directives where directive_id = (\r\n  select directive_id from dba_sql_plan_dir_objects \r\n    where OBJECT_name = '<span style=\"color:blue\">cafdcvqa03btu<\/span>'\r\n) ;\r\n\r\n             DIRECTIVE_ID TYPE                    ENA STATE      AUT REASON                               CREATED                                                                     LAST_MODIFIED\r\n------------------------- ----------------------- --- ---------- --- ------------------------------------ --------------------------------------------------------------------------- ---------------------------------------------------------------------------\r\nLAST_USED\r\n---------------------------------------------------------------------------\r\nNOTES\r\n------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\r\n      5142923332636503583 DYNAMIC_SAMPLING_RESULT YES USABLE     YES VERIFY CARDINALITY ESTIMATE          12-JUL-18 01.33.18.000000 PM\r\n12-JUL-18 01.33.18.000000000 PM\r\n<spd_note>\r\n  <internal_state>NEW<\/internal_state>\r\n  <redundant>NO<\/redundant>\r\n  <spd_text>{(O.T1, num_rows=85736) - (O.T2, num_rows=15793060) - (SQL_ID:<span style=\"color:blue\">cafdcvqa03btu<\/span>, T.CARD=753750[-2 -2])}<\/spd_text>\r\n<\/spd_note>\r\n\r\n\r\n<span style=\"color:red\">Elapsed: 00:00:01.48<\/span>\r\n\r\nStatistics\r\n----------------------------------------------------------\r\n        843  recursive calls\r\n         24  db block gets\r\n      <span style=\"color:red\">14280  consistent gets<\/span>\r\n          2  physical reads\r\n          0  redo size\r\n       2721  bytes sent via SQL*Net to client\r\n       1378  bytes received via SQL*Net from client\r\n          6  SQL*Net roundtrips to\/from client\r\n          1  sorts (memory)\r\n          0  sorts (disk)\r\n          1  rows processed<\/code><\/pre>\n<h1>Conclusion<\/h1>\n<p>As you can see, the number of consistent gets dropped from around 173 million to just 14280. As a result, the query completed in less than 2 seconds instead of 40 minutes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Correlating an active dynamic sampling trace with the data dictionary <a href=\"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/\" class=\"more-link\">Continue Reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[22,10,11,5],"tags":[],"class_list":["post-2144","post","type-post","status-publish","format-standard","hentry","category-12-2","category-adaptive-query-optimization","category-cost-based-optimizer","category-oracle"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information - All-round Database Topics<\/title>\n<meta name=\"description\" content=\"Correlating an active dynamic sampling trace with the data dictionary\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information - All-round Database Topics\" \/>\n<meta property=\"og:description\" content=\"Correlating an active dynamic sampling trace with the data dictionary\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/\" \/>\n<meta property=\"og:site_name\" content=\"All-round Database Topics\" \/>\n<meta property=\"article:published_time\" content=\"2018-07-15T14:35:08+00:00\" \/>\n<meta name=\"author\" content=\"Nenad Noveljic\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@NenadNoveljic\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nenad Noveljic\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/\"},\"author\":{\"name\":\"Nenad Noveljic\",\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/#\\\/schema\\\/person\\\/51458d9dd86dbbdd19f5add451d44efa\"},\"headline\":\"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information\",\"datePublished\":\"2018-07-15T14:35:08+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/\"},\"wordCount\":345,\"commentCount\":1,\"articleSection\":[\"12.2\",\"adaptive query optimization\",\"cost based optimizer\",\"Oracle\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/\",\"url\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/\",\"name\":\"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information - All-round Database Topics\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/#website\"},\"datePublished\":\"2018-07-15T14:35:08+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/#\\\/schema\\\/person\\\/51458d9dd86dbbdd19f5add451d44efa\"},\"description\":\"Correlating an active dynamic sampling trace with the data dictionary\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/fast-retrieval-of-dynamic_sampling_result-information\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/\",\"name\":\"All-round Database Topics\",\"description\":\"Nenad Noveljic\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/#\\\/schema\\\/person\\\/51458d9dd86dbbdd19f5add451d44efa\",\"name\":\"Nenad Noveljic\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a97b796613ea48ec8a7b79c8ffe1c685dcffc920c68121f6238d5caab5070670?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a97b796613ea48ec8a7b79c8ffe1c685dcffc920c68121f6238d5caab5070670?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a97b796613ea48ec8a7b79c8ffe1c685dcffc920c68121f6238d5caab5070670?s=96&d=mm&r=g\",\"caption\":\"Nenad Noveljic\"},\"sameAs\":[\"nenad-noveljic-9b746a6\",\"https:\\\/\\\/x.com\\\/NenadNoveljic\"],\"url\":\"https:\\\/\\\/nenadnoveljic.com\\\/blog\\\/author\\\/nenad\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information - All-round Database Topics","description":"Correlating an active dynamic sampling trace with the data dictionary","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/","og_locale":"en_US","og_type":"article","og_title":"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information - All-round Database Topics","og_description":"Correlating an active dynamic sampling trace with the data dictionary","og_url":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/","og_site_name":"All-round Database Topics","article_published_time":"2018-07-15T14:35:08+00:00","author":"Nenad Noveljic","twitter_card":"summary_large_image","twitter_creator":"@NenadNoveljic","twitter_misc":{"Written by":"Nenad Noveljic","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/#article","isPartOf":{"@id":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/"},"author":{"name":"Nenad Noveljic","@id":"https:\/\/nenadnoveljic.com\/blog\/#\/schema\/person\/51458d9dd86dbbdd19f5add451d44efa"},"headline":"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information","datePublished":"2018-07-15T14:35:08+00:00","mainEntityOfPage":{"@id":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/"},"wordCount":345,"commentCount":1,"articleSection":["12.2","adaptive query optimization","cost based optimizer","Oracle"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/","url":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/","name":"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information - All-round Database Topics","isPartOf":{"@id":"https:\/\/nenadnoveljic.com\/blog\/#website"},"datePublished":"2018-07-15T14:35:08+00:00","author":{"@id":"https:\/\/nenadnoveljic.com\/blog\/#\/schema\/person\/51458d9dd86dbbdd19f5add451d44efa"},"description":"Correlating an active dynamic sampling trace with the data dictionary","breadcrumb":{"@id":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/nenadnoveljic.com\/blog\/fast-retrieval-of-dynamic_sampling_result-information\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/nenadnoveljic.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Fast Retrieval of DYNAMIC_SAMPLING_RESULT Information"}]},{"@type":"WebSite","@id":"https:\/\/nenadnoveljic.com\/blog\/#website","url":"https:\/\/nenadnoveljic.com\/blog\/","name":"All-round Database Topics","description":"Nenad Noveljic","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/nenadnoveljic.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/nenadnoveljic.com\/blog\/#\/schema\/person\/51458d9dd86dbbdd19f5add451d44efa","name":"Nenad Noveljic","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/a97b796613ea48ec8a7b79c8ffe1c685dcffc920c68121f6238d5caab5070670?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/a97b796613ea48ec8a7b79c8ffe1c685dcffc920c68121f6238d5caab5070670?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a97b796613ea48ec8a7b79c8ffe1c685dcffc920c68121f6238d5caab5070670?s=96&d=mm&r=g","caption":"Nenad Noveljic"},"sameAs":["nenad-noveljic-9b746a6","https:\/\/x.com\/NenadNoveljic"],"url":"https:\/\/nenadnoveljic.com\/blog\/author\/nenad\/"}]}},"_links":{"self":[{"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/posts\/2144","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/comments?post=2144"}],"version-history":[{"count":1,"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/posts\/2144\/revisions"}],"predecessor-version":[{"id":2165,"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/posts\/2144\/revisions\/2165"}],"wp:attachment":[{"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/media?parent=2144"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/categories?post=2144"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nenadnoveljic.com\/blog\/wp-json\/wp\/v2\/tags?post=2144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}