Difference between revisions of "Dynamodb"
From John Freier
Line 12: | Line 12: | ||
If more sorting is required, take a look at using Local Global Index. | If more sorting is required, take a look at using Local Global Index. | ||
− | == | + | == Global Secondary Index == |
This allows you to create a super table from the base table, to allow for different keys and sorting when using the `query` command. | This allows you to create a super table from the base table, to allow for different keys and sorting when using the `query` command. | ||
Line 99: | Line 99: | ||
− | == Local | + | == Local Secondary Index == |
− | + | This creates a super table on top of the base table to allow for more sorting abilities only. | |
+ | |||
+ | Example | ||
+ | var AWS = require("aws-sdk"); | ||
+ | AWS.config.update({ | ||
+ | region: "local", | ||
+ | endpoint: "http://localhost:8000" | ||
+ | }); | ||
+ | var dynamodb = new AWS.DynamoDB(); | ||
+ | var params = { | ||
+ | TableName: "statements", | ||
+ | AttributeDefinitions: [{ // Attributes are the items that are used in the key definitions and GSI/LSI. | ||
+ | AttributeName: "id", | ||
+ | AttributeType: "S" // S - String | ||
+ | }, | ||
+ | { | ||
+ | AttributeName: "time", | ||
+ | AttributeType: "N" // N - Number | ||
+ | }, | ||
+ | { | ||
+ | AttributeName: "userId", | ||
+ | AttributeType: "S" | ||
+ | } | ||
+ | ], | ||
+ | KeySchema: [{ | ||
+ | AttributeName: "id", | ||
+ | KeyType: "HASH" | ||
+ | }, //Partition key | ||
+ | { | ||
+ | AttributeName: "userId", | ||
+ | KeyType: "RANGE" | ||
+ | }, //Sort key | ||
+ | ], | ||
+ | LocalSecondaryIndexes: [{ | ||
+ | IndexName: 'statement_user_index', | ||
+ | KeySchema: [{ | ||
+ | AttributeName: "id", // Must have the same key as the base. | ||
+ | KeyType: "HASH" | ||
+ | }, | ||
+ | { | ||
+ | AttributeName: 'time', // This is the secondary sort key. | ||
+ | KeyType: 'RANGE', | ||
+ | } | ||
+ | ], | ||
+ | Projection: { | ||
+ | ProjectionType: 'ALL' // KEY_ONLY, INCLUDE, ALL - This holds the columns that are used in the GSI and returned when queried. | ||
+ | }, | ||
+ | ProvisionedThroughput: { | ||
+ | WriteCapacityUnits: 5, | ||
+ | ReadCapacityUnits: 5 | ||
+ | } | ||
+ | }], | ||
+ | ProvisionedThroughput: { | ||
+ | ReadCapacityUnits: 5, | ||
+ | WriteCapacityUnits: 5 | ||
+ | } | ||
+ | }; | ||
+ | dynamodb.createTable(params, function(err, data) { | ||
+ | if (err) { | ||
+ | console.error("Unable to create table. Error JSON:", JSON.stringify(err, null, 2)); | ||
+ | } else { | ||
+ | console.log("Created table. Table description JSON:", JSON.stringify(data, null, 2)); | ||
+ | } | ||
+ | }); |
Revision as of 12:07, 5 January 2023
DynamoDB is an AWS product that has a stand alone app for development but is really suppose to be built out in AWS where they handle the administration/OPS.
This is a NoSQL database.
Partition Key and Sort Key
There are two types of keys that can be used to define a primary key.
Partition keys are the how the database separates data in the backend.
Sort keys allow you to sort data by a secondary column.
If more sorting is required, take a look at using Local Global Index.
Global Secondary Index
This allows you to create a super table from the base table, to allow for different keys and sorting when using the `query` command.
Example
var AWS = require("aws-sdk"); AWS.config.update({ region: "local", endpoint: "http://localhost:8000" }); var dynamodb = new AWS.DynamoDB(); var params = { TableName: "statements", AttributeDefinitions: [{ // Attributes are the items that are used in the key definitions and GSI/LSI. AttributeName: "id", AttributeType: "S" // S - String }, { AttributeName: "time", AttributeType: "N" // N - Number }, { AttributeName: "userId", AttributeType: "S" } ], KeySchema: [{ AttributeName: "id", KeyType: "HASH" }, //Partition key { AttributeName: "userId", KeyType: "RANGE" }, //Sort key ], GlobalSecondaryIndexes: [{ IndexName: 'statement_user_index', KeySchema: [{ AttributeName: 'userId', KeyType: 'HASH', }, { AttributeName: 'time', KeyType: 'RANGE', } ], Projection: { ProjectionType: 'ALL' // KEY_ONLY, INCLUDE, ALL - This holds the columns that are used in the GSI and returned when queried. }, ProvisionedThroughput: { WriteCapacityUnits: 5, ReadCapacityUnits: 5 } }], ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 } }; dynamodb.createTable(params, function(err, data) { if (err) { console.error("Unable to create table. Error JSON:", JSON.stringify(err, null, 2)); } else { console.log("Created table. Table description JSON:", JSON.stringify(data, null, 2)); } });
Example query
this.findLatest = async function(table, userId) { var params = { TableName: table, IndexName: 'statement_user_index', // Must have the indexName too query against an GSI index. KeyConditionExpression: 'userId = :userId', // Must contain the key ExpressionAttributeValues: { ':userId': userId }, // Used like prepared statements. Limit: 1, // Number of results returned (optional) ScanIndexForward: false // Ascending or Descending. (Optional) }; try { const results = await docClient.query(params).promise(); return results.Items; } catch (err) { console.log(err); throw err; }; }
Local Secondary Index
This creates a super table on top of the base table to allow for more sorting abilities only.
Example
var AWS = require("aws-sdk"); AWS.config.update({ region: "local", endpoint: "http://localhost:8000" }); var dynamodb = new AWS.DynamoDB(); var params = { TableName: "statements", AttributeDefinitions: [{ // Attributes are the items that are used in the key definitions and GSI/LSI. AttributeName: "id", AttributeType: "S" // S - String }, { AttributeName: "time", AttributeType: "N" // N - Number }, { AttributeName: "userId", AttributeType: "S" } ], KeySchema: [{ AttributeName: "id", KeyType: "HASH" }, //Partition key { AttributeName: "userId", KeyType: "RANGE" }, //Sort key ], LocalSecondaryIndexes: [{ IndexName: 'statement_user_index', KeySchema: [{ AttributeName: "id", // Must have the same key as the base. KeyType: "HASH" }, { AttributeName: 'time', // This is the secondary sort key. KeyType: 'RANGE', } ], Projection: { ProjectionType: 'ALL' // KEY_ONLY, INCLUDE, ALL - This holds the columns that are used in the GSI and returned when queried. }, ProvisionedThroughput: { WriteCapacityUnits: 5, ReadCapacityUnits: 5 } }], ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 } }; dynamodb.createTable(params, function(err, data) { if (err) { console.error("Unable to create table. Error JSON:", JSON.stringify(err, null, 2)); } else { console.log("Created table. Table description JSON:", JSON.stringify(data, null, 2)); } });