{"id":13719,"date":"2016-07-05T16:15:39","date_gmt":"2016-07-05T13:15:39","guid":{"rendered":"https:\/\/www.webcodegeeks.com\/?p=13719"},"modified":"2016-06-28T21:56:27","modified_gmt":"2016-06-28T18:56:27","slug":"create-dynamodb-tables-node-js","status":"publish","type":"post","link":"https:\/\/www.webcodegeeks.com\/javascript\/node-js\/create-dynamodb-tables-node-js\/","title":{"rendered":"Create DynamoDB tables with Node.js"},"content":{"rendered":"<p>On this post we will create Tables on a DynamoDB Database using node.js<\/p>\n<p>Before getting started we need to have local dynamodb installed since we want to avoid any costs for dynamodb usage. There was a previous <a href=\"https:\/\/egkatzioura.wordpress.com\/2016\/01\/21\/testing-amazon-web-services-codebase-dynamodb-and-s3\/\">post<\/a> on local dynamodb.\u00a0In case you use docker you can find a local dynamodb image or you can create one on you own as described <a href=\"https:\/\/egkatzioura.wordpress.com\/2016\/04\/21\/implement-a-dynamodb-docker-image\/\">here<\/a>.<\/p>\n<p>Using local DynamoDB and node.js is extremely handy for debugging. Local dynamodb provides as with an web user interface on <a href=\"http:\/\/localhost:8000\/shell\" rel=\"nofollow\">http:\/\/localhost:8000\/shell<\/a>. The local dynamodb shell is a javascript shell, therefore the actions for node.js can be issued straight to the DynamoDB shell.<\/p>\n<p>The actions would be the same as described on the corresponding java <a href=\"https:\/\/egkatzioura.wordpress.com\/2016\/06\/23\/create-dynamodb-tables-with-java\/\">tutorial<\/a>.\u00a0First step is to create a table with a hash key. In this case the email of the user would be the hash key.<\/p>\n<pre class=\"brush:js\">var createUsers = function(callback) {\r\n\r\n\tvar dynamodb = new AWS.DynamoDB();\r\n\r\n\tvar params = {\r\n\t    TableName : \"Users\",\r\n\t    KeySchema: [       \r\n\t        { AttributeName: \"email\", KeyType: \"HASH\"}\r\n\t    ],\r\n\t    AttributeDefinitions: [       \r\n\t        { AttributeName: \"email\", AttributeType: \"S\" }\r\n\t    ],\r\n\t    ProvisionedThroughput: {       \r\n\t        ReadCapacityUnits: 5, \r\n\t        WriteCapacityUnits: 5\r\n\t\t   }\r\n\t\t};\r\n\r\n\tdynamodb.createTable(params, callback);\t\r\n};<\/pre>\n<p>The next table will be called Logins. Logins should keep track each time the user logged in. To do so apart from using a hash key we will also use a range key for the date it occurred.<\/p>\n<pre class=\"brush:js\">var createLogins = function(callback) {\r\n\r\n\tvar dynamodb = new AWS.DynamoDB();\r\n\r\n\tvar params = {\r\n\t    TableName : \"Logins\",\r\n\t    KeySchema: [       \r\n\t        { AttributeName: \"email\", KeyType: \"HASH\"},\r\n\t        { AttributeName: \"timestamp\", KeyType: \"RANGE\"}\r\n\t\t],\r\n\t    AttributeDefinitions: [       \r\n\t        { AttributeName: \"email\", AttributeType: \"S\" },\r\n\t        { AttributeName: \"timestamp\", AttributeType: \"N\" }\r\n\t    ],\r\n\t    ProvisionedThroughput: {       \r\n\t        ReadCapacityUnits: 5, \r\n\t        WriteCapacityUnits: 5\r\n\t\t   }\r\n\t\t};\r\n\r\n\tdynamodb.createTable(params, callback);\t\r\n};<\/pre>\n<p>Next table is Supervisors. The hash key of Supervisor would be his name. A supervisor will work for a company. The company will be our global secondary index. Since the companies own more than one factories the field factory would be the range key.<\/p>\n<pre class=\"brush:js\">var createSupervisors = function(callback) {\r\n\r\n\tvar dynamodb = new AWS.DynamoDB();\r\n\r\n\tvar params = {\r\n\t    TableName : \"Supervisors\",\r\n\t    KeySchema: [       \r\n\t        { AttributeName: \"name\", KeyType: \"HASH\"}\r\n\t\t],\r\n\t    AttributeDefinitions: [       \r\n\t        { AttributeName: \"name\", AttributeType: \"S\" },\r\n\t        { AttributeName: \"company\", AttributeType: \"S\" },\r\n\t        { AttributeName: \"factory\", AttributeType: \"S\" }    \r\n\t    ],\r\n\t    ProvisionedThroughput: {       \r\n\t        ReadCapacityUnits: 5, \r\n\t        WriteCapacityUnits: 5\r\n\t\t   },\r\n\t\tGlobalSecondaryIndexes: [{\r\n\t\t\t\tIndexName: \"FactoryIndex\",\r\n\t\t\t\tKeySchema: [\r\n\t\t\t\t    {\r\n\t\t\t\t    \tAttributeName: \"company\",\r\n\t\t\t\t    \tKeyType: \"HASH\"\r\n\t\t\t\t    },\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tAttributeName: \"factory\",\r\n\t\t\t\t\t\tKeyType: \"RANGE\"\r\n\t\t\t\t\t}\r\n\t\t\t\t],\r\n\t\t\t\tProjection: {\r\n\t\t\t\t\tProjectionType: \"ALL\"\r\n\t\t\t\t},\r\n\t\t\t\tProvisionedThroughput: {\r\n\t\t\t\t\tReadCapacityUnits: 1,\r\n\t\t\t\t\tWriteCapacityUnits: 1\r\n\t\t\t\t}\r\n\t\t    }]\r\n\t};\r\n\r\n\tdynamodb.createTable(params, callback);\t\r\n};<\/pre>\n<p>Next table would be the table Companies. The hash key would be the parent company and the range key the subsidiary company. Each company has a CEO. The CEO would be the range key for the local secondary index.<\/p>\n<pre class=\"brush:js\">var createCompanies = function(callback) {\r\n\r\n\tvar dynamodb = new AWS.DynamoDB();\r\n\r\n\tvar params = {\r\n\t    TableName : \"Companies\",\r\n\t    KeySchema: [       \r\n\t        { AttributeName: \"name\", KeyType: \"HASH\"},\r\n\t        { AttributeName: \"subsidiary\", KeyType: \"RANGE\"}\r\n\t\t],\r\n\t    AttributeDefinitions: [       \r\n\t        { AttributeName: \"name\", AttributeType: \"S\" },\r\n\t        { AttributeName: \"subsidiary\", AttributeType: \"S\" },\r\n\t        { AttributeName: \"ceo\", AttributeType: \"S\" }    \r\n\t    ],\r\n\t    ProvisionedThroughput: {       \r\n\t        ReadCapacityUnits: 5, \r\n\t        WriteCapacityUnits: 5\r\n\t\t   },\r\n\t\tLocalSecondaryIndexes: [{\r\n\t\t\t\tIndexName: \"CeoIndex\",\r\n\t\t\t\tKeySchema: [\r\n\t\t\t\t    {\r\n\t\t\t\t    \tAttributeName: \"name\",\r\n\t\t\t\t    \tKeyType: \"HASH\"\r\n\t\t\t\t    },\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tAttributeName: \"ceo\",\r\n\t\t\t\t\t\tKeyType: \"RANGE\"\r\n\t\t\t\t\t}\r\n\t\t\t\t],\r\n\t\t\t\tProjection: {\r\n\t\t\t\t\tProjectionType: \"ALL\"\r\n\t\t\t\t}\r\n\t\t    }]\r\n\t};\r\n\r\n\tdynamodb.createTable(params, callback);\t\r\n};<\/pre>\n<p>You can find the source code on <a href=\"https:\/\/github.com\/gkatzioura\/egkatzioura.wordpress.com\/DynamoDBTutorialNode\">github<\/a>.<\/p>\n<div class=\"attribution\">\n<table>\n<tbody>\n<tr>\n<td><span class=\"reference\">Reference: <\/span><\/td>\n<td><a href=\"https:\/\/egkatzioura.wordpress.com\/2016\/06\/23\/create-dynamodb-tables-with-node-js\/\">Create DynamoDB tables with Node.js<\/a> from our <a href=\"http:\/\/www.webcodegeeks.com\/join-us\/wcg\/\">WCG partner<\/a> Emmanouil Gkatziouras at the <a href=\"http:\/\/egkatzioura.wordpress.com\/\">gkatzioura<\/a> blog.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>On this post we will create Tables on a DynamoDB Database using node.js Before getting started we need to have local dynamodb installed since we want to avoid any costs for dynamodb usage. There was a previous post on local dynamodb.\u00a0In case you use docker you can find a local dynamodb image or you can &hellip;<\/p>\n","protected":false},"author":99,"featured_media":924,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[377],"class_list":["post-13719","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-node-js","tag-dynamodb"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Create DynamoDB tables with Node.js - Web Code Geeks - 2026<\/title>\n<meta name=\"description\" content=\"On this post we will create Tables on a DynamoDB Database using node.js Before getting started we need to have local dynamodb installed since we want to\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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