amazon-dynamodb

DynamoDB create tables in local machine

我怕爱的太早我们不能终老 提交于 2020-12-29 08:49:29
问题 I have downloaded DynamoDB jars to my local windows machine and able to start service using command below. java -jar DynamoDBLocal.jar -dbPath . i can access the web console using localhost:8000/shell/ However, I am not sure how to create table, can someone give me the syntax and any examples if I want to create table with below details, how to do and insert the data? Table: student columns: sid, firstname, lastname, address. Appreciate your inputs. 回答1: The documentation can be a bit

Spark 2.2.0 - How to write/read DataFrame to DynamoDB

本秂侑毒 提交于 2020-12-29 06:23:53
问题 I want my Spark application to read a table from DynamoDB, do stuff, then write the result in DynamoDB. Read the table into a DataFrame Right now, I can read the table from DynamoDB into Spark as a hadoopRDD and convert it to a DataFrame. However, I had to use a regular expression to extract the value from AttributeValue . Is there a better/more elegant way? Couldn't find anything in the AWS API. package main.scala.util import org.apache.spark.sql.SparkSession import org.apache.spark

Spark 2.2.0 - How to write/read DataFrame to DynamoDB

こ雲淡風輕ζ 提交于 2020-12-29 06:23:51
问题 I want my Spark application to read a table from DynamoDB, do stuff, then write the result in DynamoDB. Read the table into a DataFrame Right now, I can read the table from DynamoDB into Spark as a hadoopRDD and convert it to a DataFrame. However, I had to use a regular expression to extract the value from AttributeValue . Is there a better/more elegant way? Couldn't find anything in the AWS API. package main.scala.util import org.apache.spark.sql.SparkSession import org.apache.spark

Spark 2.2.0 - How to write/read DataFrame to DynamoDB

百般思念 提交于 2020-12-29 06:22:05
问题 I want my Spark application to read a table from DynamoDB, do stuff, then write the result in DynamoDB. Read the table into a DataFrame Right now, I can read the table from DynamoDB into Spark as a hadoopRDD and convert it to a DataFrame. However, I had to use a regular expression to extract the value from AttributeValue . Is there a better/more elegant way? Couldn't find anything in the AWS API. package main.scala.util import org.apache.spark.sql.SparkSession import org.apache.spark

AWS Amplify - AppSync & Multiple DynamoDB Tables

核能气质少年 提交于 2020-12-28 15:06:55
问题 When initializing a new GraphQL backend via the Amplify CLI, the sample schema defines multiple types with the @model annotation. For example... type Blog @model { id: ID! name: String! posts: [Post] @connection(name: "BlogPosts") } type Post @model { id: ID! title: String! blog: Blog @connection(name: "BlogPosts") comments: [Comment] @connection(name: "PostComments") } type Comment @model { id: ID! content: String post: Post @connection(name: "PostComments") } When pushed, this results in

AWS Amplify - AppSync & Multiple DynamoDB Tables

和自甴很熟 提交于 2020-12-28 15:03:38
问题 When initializing a new GraphQL backend via the Amplify CLI, the sample schema defines multiple types with the @model annotation. For example... type Blog @model { id: ID! name: String! posts: [Post] @connection(name: "BlogPosts") } type Post @model { id: ID! title: String! blog: Blog @connection(name: "BlogPosts") comments: [Comment] @connection(name: "PostComments") } type Comment @model { id: ID! content: String post: Post @connection(name: "PostComments") } When pushed, this results in

AWS Amplify - AppSync & Multiple DynamoDB Tables

戏子无情 提交于 2020-12-28 15:02:32
问题 When initializing a new GraphQL backend via the Amplify CLI, the sample schema defines multiple types with the @model annotation. For example... type Blog @model { id: ID! name: String! posts: [Post] @connection(name: "BlogPosts") } type Post @model { id: ID! title: String! blog: Blog @connection(name: "BlogPosts") comments: [Comment] @connection(name: "PostComments") } type Comment @model { id: ID! content: String post: Post @connection(name: "PostComments") } When pushed, this results in

Example of update_item in dynamodb boto3

百般思念 提交于 2020-12-24 05:01:45
问题 Following the documentation, I'm trying to create an update statement that will update or add if not exists only one attribute in a dynamodb table. I'm trying this response = table.update_item( Key={'ReleaseNumber': '1.0.179'}, UpdateExpression='SET', ConditionExpression='Attr(\'ReleaseNumber\').eq(\'1.0.179\')', ExpressionAttributeNames={'attr1': 'val1'}, ExpressionAttributeValues={'val1': 'false'} ) The error I'm getting is: botocore.exceptions.ClientError: An error occurred

Example of update_item in dynamodb boto3

孤者浪人 提交于 2020-12-24 05:01:03
问题 Following the documentation, I'm trying to create an update statement that will update or add if not exists only one attribute in a dynamodb table. I'm trying this response = table.update_item( Key={'ReleaseNumber': '1.0.179'}, UpdateExpression='SET', ConditionExpression='Attr(\'ReleaseNumber\').eq(\'1.0.179\')', ExpressionAttributeNames={'attr1': 'val1'}, ExpressionAttributeValues={'val1': 'false'} ) The error I'm getting is: botocore.exceptions.ClientError: An error occurred

DynamoDB with boto3 - limit acts as page size

笑着哭i 提交于 2020-12-15 06:19:32
问题 According to the boto3 docs, the limit argument in query allows you to to limit the number of evaluated objects in your DynamoDB table/GSI. However, LastEvaluatedKey isn't returned when the desired limit is reached and therefore a client that would like to limit the number of fetched results will fail to do so consider the following code: while True: query_result = self._dynamodb_client.query(**query_kwargs) for dynamodb_formatted_item in query_result["Items"]: yield self._convert_dict_from