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Querying and Scanning a DynamoDB Table
This Node.js code example shows:
How to query and scan a DynamoDB table for items.
The Scenario
Querying finds items in a table or a secondary index using only primary key attribute values. You must provide a partition key name and a value for which to search. You can also provide a sort key name and value, and use a comparison operator to refine the search results. Scanning finds items by checking every item in the specified table.
In this example, you use a series of Node.js modules to identify one or more items you want to retrieve from a DynamoDB table. The code uses the SDK for JavaScript to query and scan tables using these methods of the DynamoDB client class:
Prerequisite Tasks
To set up and run this example, first complete these tasks:
Install Node.js. For more information, see the Node.js website
. Create a shared configurations file with your user credentials. For more information about providing a shared credentials file, see Loading Credentials in Node.js from the Shared Credentials File.
Create a DynamoDB table whose items you can access. For more information about creating a DynamoDB table, see Creating and Using Tables in DynamoDB.
Querying a Table
This example queries a table that contains episode information about a video series, returning the episode titles and subtitles of second season episodes past episode 9 that contain a specified phrase in their subtitle.
Create a Node.js module with the file name ddb_query.js
. Be sure to configure the SDK as previously shown. To
access DynamoDB, create an AWS.DynamoDB
service object. Create a JSON object containing the parameters
needed to query the table, which in this example includes the table name, the ExpressionAttributeValues
needed by the query, a KeyConditionExpression
that uses those values to define which items the query returns,
and the names of attribute values to return for each item. Call the query
method of the DynamoDB service object.
// Load the AWS SDK for Node.js var AWS = require("aws-sdk"); // Set the region AWS.config.update({ region: "REGION" }); // Create DynamoDB service object var ddb = new AWS.DynamoDB({ apiVersion: "2012-08-10" }); var params = { ExpressionAttributeValues: { ":s": { N: "2" }, ":e": { N: "09" }, ":topic": { S: "PHRASE" }, }, KeyConditionExpression: "Season = :s and Episode > :e", ProjectionExpression: "Episode, Title, Subtitle", FilterExpression: "contains (Subtitle, :topic)", TableName: "EPISODES_TABLE", }; ddb.query(params, function (err, data) { if (err) { console.log("Error", err); } else { //console.log("Success", data.Items); data.Items.forEach(function (element, index, array) { console.log(element.Title.S + " (" + element.Subtitle.S + ")"); }); } });
To run the example, type the following at the command line.
node ddb_query.js
This sample code can be found here on GitHub
Scanning a Table
Create a Node.js module with the file name ddb_scan.js
. Be sure to configure the SDK as previously shown. To
access DynamoDB, create an AWS.DynamoDB
service object. Create a JSON object containing the parameters
needed to scan the table for items, which in this example includes the name of the table, the list of attribute values to return
for each matching item, and an expression to filter the result set to find items containing a specified phrase.
Call the scan
method of the DynamoDB service object.
// Load the AWS SDK for Node.js. var AWS = require("aws-sdk"); // Set the AWS Region. AWS.config.update({ region: "REGION" }); // Create DynamoDB service object. var ddb = new AWS.DynamoDB({ apiVersion: "2012-08-10" }); const params = { // Specify which items in the results are returned. FilterExpression: "Subtitle = :topic AND Season = :s AND Episode = :e", // Define the expression attribute value, which are substitutes for the values you want to compare. ExpressionAttributeValues: { ":topic": { S: "SubTitle2" }, ":s": { N: 1 }, ":e": { N: 2 }, }, // Set the projection expression, which are the attributes that you want. ProjectionExpression: "Season, Episode, Title, Subtitle", TableName: "EPISODES_TABLE", }; ddb.scan(params, function (err, data) { if (err) { console.log("Error", err); } else { console.log("Success", data); data.Items.forEach(function (element, index, array) { console.log( "printing", element.Title.S + " (" + element.Subtitle.S + ")" ); }); } });
To run the example, type the following at the command line.
node ddb_scan.js
This sample code can be found here on GitHub