![]() Cluster snapshots: Point-in-time backups of the cluster, including metadata and data files.ĥ. Cluster events: Notifications about events that occur on the cluster, such as node failures or cluster scaling.Ĥ. Query execution data: Details about queries executed on the cluster, including query text, execution time, and resource usage.ģ. Cluster metadata: Information about the cluster, such as its configuration, status, and performance metrics.Ģ. ![]() With JSON File, users can easily create and modify JSON files, and they can also validate the syntax of their JSON data to ensure that it is well-formed and error-free.Īmazon Redshift provides access to a wide range of data related to the Redshift cluster, including:ġ. It provides a user-friendly interface for working with JSON data, and it can be used by developers, data analysts, and anyone else who needs to work with structured data. JSON File is a tool that allows users to create, edit, and view JSON files. The syntax of JSON is similar to that of JavaScript, but it is a separate language that can be used independently of JavaScript. JSON files consist of key-value pairs, where each key is a string and each value can be a string, number, boolean, array, or another JSON object. JSON files are commonly used in web applications to transfer data between the server and the client, and they are also used in many other programming languages and platforms. JSON stands for JavaScript Object Notation, and it is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. Depending on tool(s) used, customization(s), and/or other factors ongoing support on the solution below may not be provided by Qlik Support.JSON File is a tool that is used to store and exchange data in a structured format. The information in this article is provided as-is and to be used at own discretion. If the value of the key of a record matches an already existing record then it will be updated, otherwise an insert will happen. Upsert Bulk: This block does an upsert of rows, identical to the Insert bulk block. You have to specify the table name and provide a list of JSON objects. Insert Bulk: This block inserts multiple rows into a table. Further information will be added later to this article. Import S3 File: This block takes a file stored on S3 storage and imports it into Redshift. Provide the table name and a where condition to indicate which records have to be deleted: It takes a JSON object that will be inserted as the row.ĭelete Record: Deletes records from a table. Insert Record: This block will insert a single row into the table provided by tableName. The example below will return a list of records from my_test table with all columns where column1 equals value1. Furthermore it is possible to implement paging inside a loop when offset and limit parameters are provided. It is possible to filter the data through the where clause by providing a column name and value. List Records: Provide a table name, the columns you want to be returned. Every value in column2 will be given the value newvalue. This example will update all records in table my_test where column1 equals value. All matches will be updated with the values provided in the Data object. Update Record by One Field: Takes a table name as parameter and a key value pair to be compared against. If a match is found, the fields provided in record will be updated. The key value pair consists of a column and tests if the value matches. Upsert Record: Requires a table name to be given as well as a key value pair to be compared against. The inputs will be transformed into an insert statement and executed. Insert Record: Requires a table name to be given and a JSON object. List tables: This block returns a list of all tables in your database. Provide a SQL query to be executed against Redshift. Password: Password that you use to connect to Amazon Redshift Available blocks:ĭo Query: This block takes a string as parameter. Username: Username that you use to connect to Amazon Redshift Only keep the hostname part of the URL.ĭatabase Name: The name of the database you have provided. Host: You can find this in the AWS Redshift console when you click on your cluster. To authenticate with Amazon Redshift, you will have to gather the following information: This article is intended to get started with the Amazon Redshift connector in Qlik Application Automation.
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