{"id":3253,"date":"2016-03-07T01:54:10","date_gmt":"2016-03-07T01:54:10","guid":{"rendered":"http:\/\/www.garysieling.com\/blog\/?p=3253"},"modified":"2016-03-07T01:54:10","modified_gmt":"2016-03-07T01:54:10","slug":"rethinkdb-count-example","status":"publish","type":"post","link":"https:\/\/www.garysieling.com\/blog\/rethinkdb-count-example\/","title":{"rendered":"RethinkDB: COUNT Example"},"content":{"rendered":"

In RethinkDB, you can easily count the results, by adding a count predicate:<\/p>\n

r.db('test')\n .table('users')\n .count()\n<\/pre>\n
If you want to reduce the results first, you can add a filter first:<\/p>\n
r.db('test')\n .table('users')\n .filter( (x) => x('last_name').match('test ') )\n .count()\n<\/pre>\n
If you want to do a GROUP BY, you can do it with “GROUP”:<\/p>\n
r.db('test')\n .table('users')\n .filter( (x) => x('user_name').match('test ') )\n .group('first_name')\n .count()\n .ungroup()\n .map(\n   { \n    first_name: r.row('group'),\n    val: r.row('reduction') \n  })\n .orderBy('val')\n<\/pre>\n
This is an example of what you’ll get:<\/p>\n
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3\u00a0rows returned in 78ms.<\/p>\n<\/div>\n
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first_name<\/div>\n<\/div>\n<\/td>\n
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val<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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1<\/div>\n<\/td>\n
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test 10<\/div>\n<\/div>\n<\/td>\n
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1<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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2<\/div>\n<\/td>\n
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test 2<\/div>\n<\/div>\n<\/td>\n
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1<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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test 3<\/div>\n<\/div>\n<\/td>\n
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1<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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4<\/div>\n<\/td>\n
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test 4<\/div>\n<\/div>\n<\/td>\n
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3<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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test 5<\/div>\n<\/div>\n<\/td>\n
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7<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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test 6<\/div>\n<\/div>\n<\/td>\n
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10<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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test 7<\/div>\n<\/div>\n<\/td>\n
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15<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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8<\/div>\n<\/td>\n
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test 8<\/div>\n<\/div>\n<\/td>\n
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100<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
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9<\/div>\n<\/td>\n
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test 9<\/div>\n<\/div>\n<\/td>\n
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150<\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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In RethinkDB, you can easily count the results, by adding a count predicate: r.db(‘test’) .table(‘users’) .count() If you want to reduce the results first, you can add a filter first: r.db(‘test’) .table(‘users’) .filter( (x) => x(‘last_name’).match(‘test ‘) ) .count() If you want to do a GROUP BY, you can do it with “GROUP”: r.db(‘test’) .table(‘users’) … <\/p>\n
Continue reading “RethinkDB: COUNT Example”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[4],"tags":[160,462,466,523],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t