Featured Post

How to Build CI/CD Pipeline: GitHub to AWS

-
Image
 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces
Post a Comment

How IBM Cloudscape supports online and offline Backups

-
IBM Cloudscape is a Java-enabled Object Relational Database Management System (ORDBMS). It supports complex SQL statements, transaction management, and provides multi-user support in the Database Management System (DBMS).

You can create two types of backups of the Cloudscape database, online backup and offline backup. You can make backups of a database and the log file of the database. When restoring the database, you need to restore the log file and the database.

The below picture shows structure of Cloudscape system.
Cloud scope

You need to understand the structure and contents of a Cloudscape system in order to make backups and restore Cloudscape databases.

A Cloudscape system consists of a system directory, one or more Cloudscape databases, and the system properties and configuration settings.

A system directory contains a properties file called db2j.properties and an information and error log file called db2j.log. Each database in a Cloudscape system is stored in a subdirectory, which has the same name as the database.

The System Directory

To define the system directory, you need to specify the name of the directory in the db2j.system.home property. You specify the name of the directory when starting a Cloudscape system.

If you do not set this property at the time of startup, the current directory is taken as the system directory by default.

The system directory determines where you need to create and store new Cloudscape databases. In addition, it determines which configuration settings to use.

The Properties File

The properties file is a text file called db2j.properties. This text file is stored in the system directory. It contains properties settings for the entire Cloudscape system. You can set system properties, such as db2j.system.home, db2j.storage.pageSize, and db2j.infolog.append, in this file.

You need to manually create the db2j.properties file in the system directory because Cloudscape does not create this file automatically. This file enables you to specify the settings for the system-wide properties.

The Log File

The log file contains information and error messages generated by the Cloudscape system after you connect with a database. This file is called db2j.log and is stored in the system directory.

By default, Cloudscape overwrites messages in the same log file for each session. If you specify the system property db2j.infolog.append=true in the db2j.properties file, Cloudscape appends messages in the log file instead of overwriting in the log file.

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

-
Image
Here's a quick resolution for import datetime Python error . The reason is your .py python script name and datetime  are the same. I'll show you how this error happens and its resolution.   Here's the Resolution for ImportError I've created a script called 'datetime.py.' to check whether the minute value is 'odd' or not. During the import of my python script, I got the import error cannot import name datetime. My Script: datetime.py My script's intention is to find whether the minute value is odd or not. Python Logic from datetime import datetime odds = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 , 15 , 17 , 19 , 21 , 23 , 25 , 27 , 29 , 31 , 33 , 35 , 37 , 39 , 41 , 43 , 45 , 47 , 49 , 51 , 53 , 55 , 57 , 59 ] right_this_minute = datetime.today().minute if right_this_minute in odds: print ( "This minute seems a little odd." ) else : print ( "Not an odd minute." ) ImportError I have imported my datetime.py from Linux. It gives an error
Read more

How to Check Kafka Available Brokers

-
Image
Here's the command to check the list of brokers present in a Kafka Cluster. You can say the Broker is the heart of the Kafka cluster. In simple terms, it works as a process. The main function is to receive messages from publishers and gives permission to access messages by consumers. How to Check Available Brokers in Kafka Here is the command: linux$  ./zookeeper-shell.sh zookeeper-IPaddress:2181 | "ls /brokers/ids" Just use the above command to get the number of brokers present in your host (Kafka Cluster). What is Default Broker-id in Kafka  The default broker id is -1 . When you create a new broker, it adds to -1. Then, it gives a new broker id. The broker ids will be generated from  reserved.broker.max.id + 1. Types of broker ids. Use assigned Zookeeper generated broker id. According to Wiki: Kafka runs on a cluster of one or more servers (called brokers), and the partitions of all topics are distributed across the cluster nodes.  Additionally, partitions are replicat
Read more

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or
Read more