#pgsql

[piembsystech]

Version Control and Code Maintenance in PL/pgSQL

Effective Version Control and Code Maintenance for PL/pgSQL Developers Hello, PL/pgSQL enthusiasts! In this blog post, I will introduce you to PL/pgSQL version control and code maintenance – one of the most crucial aspects of PL/pgSQL development. Managing your PL/pgSQL code effectively ensures better collaboration, easier debugging, and smoother deployment. Proper version control helps track…

[rabbiteclair]

i genuinely enjoy writing PL/SQL (and derivatives, such as PL/pgSQL.) love to open a text file and run off of pure muscle memory as I start with

DECLARE BEGIN END;

the government should put me down as a precaution

[forwardauspost]

AusPost Raw Address File

In today's data-driven world, address accuracy is critical for logistics, compliance, and customer satisfaction. The Australia Post Raw Address File (RAF) is one of the most reliable tools for businesses operating in Australia. This guide breaks down everything you need to know about the AusPost RAF, its use cases, structure, licensing, and integration tips to help streamline operations and enhance data accuracy.

What Is the AusPost Raw Address File?

The AusPost Raw Address File is a comprehensive, structured dataset maintained by Australia Post. It contains validated and standardized address data for every deliverable address across the country. This includes residential, commercial, and PO Box addresses.

Why Is the AusPost RAF Important?

Businesses and government agencies rely on the RAF to:

Validate customer address entries in real-time

Improve logistics and last-mile delivery

Enhance customer service accuracy

Reduce returned mail and failed deliveries

Comply with regulatory and insurance requirements

Key Features of the Raw Address File

Over 13 million address points from across Australia

Regular updates to reflect new developments, removals, or corrections

Address metadata like locality, postcode, state, and delivery point identifier (DPID)

Compatible with Australia Post’s sorting and barcoding systems

Structure of the AusPost RAF

The AusPost Address File follows a structured format, typically provided as a flat file (CSV or fixed-width text) with fields such as:

DPID (Delivery Point Identifier)

Thoroughfare Number and Name

Locality/Suburb

State

Postcode

Address Type Indicator

Street Suffixes and Prefixes

Delivery Address Indicator (for PO Boxes, Locked Bags, etc.)

Example entry:

pgsql

CopyEdit

DPID | Street Number | Street Name | Street Type | Suburb | State | Postcode 12345678 | 12 | Smith | St | Melbourne | VIC | 3000

How to Access the Raw Address File

The RAF is available for licensed users only. To access:

Visit the Australia Post Licensing Portal

Apply for the Australia Post Data License

Choose a subscription based on volume, access needs, and update frequency

Download via secure FTP or API (if applicable)

Use Cases of AusPost RAF

Ecommerce Platforms: For accurate checkout address entry and fulfillment

CRM Systems: Cleansing and standardizing customer address records

Direct Mail Campaigns: Improved targeting and delivery success

Insurance & Utilities: Verifying customer residence and geolocation

Government: Electoral roll management, census, and service delivery

Benefits of Using the AusPost RAF

BenefitDescription📦 Improved DeliveryReduce missed deliveries by up to 98%🛡️ Regulatory ComplianceMeet standards for customer data accuracy🧹 Data HygieneClean existing databases and maintain long-term accuracy🚀 SpeedAutocomplete & autofill capabilities speed up checkout🔄 Seamless IntegrationEasy to embed into websites, CRMs, or ERPs via APIs

Licensing and Compliance

License Types: Corporate, Developer, Distributor

Data Protection: Must comply with Australia’s Privacy Act 1988

Usage Limits: Restricted to agreed use-case; redistribution prohibited without consent

How to Integrate AusPost RAF Into Your System

Choose a Suitable Format – CSV for spreadsheets or API for web apps

Normalize Existing Data – Map current address fields to RAF structure

Use an Address Autocomplete API – Such as Australia Post’s Address Search API

Validate Inputs in Real-Time – During form entries or customer onboarding

Maintain Update Schedule – Incorporate monthly or quarterly data refresh

Best Practices for Implementation

Use drop-downs for state and postcode to reduce input errors

Implement address field suggestions as users type

Validate against DPID to match AusPost delivery records

Keep logs of mismatches to improve future entries

Common Issues and Solutions

ProblemSolutionMissing suburb or postcodeValidate with postcode-locality cross-checkAbbreviated street namesStandardize using AusPost’s abbreviation guidelinesDuplicate recordsUse DPID as a unique identifierNon-standard PO BoxesSeparate delivery type from street address in UI

Who Should Use the RAF?

Logistics companies

Real estate and utilities

Financial institutions

Marketing firms

Government departments

Alternatives to the Raw Address File

While the RAF is the most authoritative source, alternatives include:

G-NAF (Geocoded National Address File)

Commercial address validation APIs like Loqate or Melissa

Third-party CRM plugins with built-in AusPost validation

Conclusion

The AusPost Raw Address File is a powerful tool for improving delivery accuracy, streamlining operations, and maintaining data integrity. Whether you're a growing business or a government agency, using the RAF can significantly improve your operational efficiency.

SITES WE SUPPORT

Forward AusPost With Address – ​​​Wix

[learning-code-ficusoft]

Steps to automate schema changes and data pipeline deployments with GitHub or Azure DevOps.

Managing database schema changes and automating data pipeline deployments is critical for ensuring consistency, reducing errors, and improving efficiency. This guide outlines the steps to achieve automation using GitHub Actions or Azure DevOps Pipelines.

Step 1: Version Control Your Schema and Pipeline Code

Store database schema definitions (SQL scripts, DB migration files) in a Git repository.

Keep data pipeline configurations (e.g., Terraform, Azure Data Factory JSON files) in version control.

Use branching strategies (e.g., feature branches, GitFlow) to manage changes safely.

Step 2: Automate Schema Changes (Database CI/CD)

To manage schema changes, you can use Flyway, Liquibase, or Alembic.

For Azure SQL Database or PostgreSQL (Example with Flyway)

Store migration scripts in a folder:

pgsql

├── db-migrations/ │ ├── V1__init.sql │ ├── V2__add_column.sql

Create a GitHub Actions workflow (.github/workflows/db-migrations.yml):

yaml

name: Deploy Database Migrations on: [push] jobs: deploy: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v3 - name: Install Flyway run: curl -L https://repo1.maven.org/maven2/org/flywaydb/flyway-commandline/9.0.0/flyway-commandline-9.0.0-linux-x64.tar.gz | tar xvz && mv flyway-*/flyway /usr/local/bin/ - name: Apply migrations run: | flyway -url=jdbc:sqlserver://$DB_SERVER -user=$DB_USER -password=$DB_PASS migrate

In Azure DevOps, you can achieve the same using a YAML pipeline:

yaml

trigger: branches: include: - main pool: vmImage: 'ubuntu-latest' steps: - checkout: self - script: | flyway -url=jdbc:sqlserver://$(DB_SERVER) -user=$(DB_USER) -password=$(DB_PASS) migrate

Step 3: Automate Data Pipeline Deployment

For Azure Data Factory (ADF) or Snowflake, deploy pipeline definitions stored in JSON files.

For Azure Data Factory (ADF)

Export ADF pipeline JSON definitions into a repository.

Use Azure DevOps Pipelines to deploy changes:

yaml

trigger: branches: include: - main pool: vmImage: 'ubuntu-latest' steps: - task: AzureResourceManagerTemplateDeployment@3 inputs: deploymentScope: 'Resource Group' azureSubscription: 'AzureConnection' resourceGroupName: 'my-rg' location: 'East US' templateLocation: 'Linked artifact' csmFile: 'adf/pipeline.json'

For GitHub Actions, you can use the Azure CLI to deploy ADF pipelines:

yaml

steps: - name: Deploy ADF Pipeline run: | az datafactory pipeline create --factory-name my-adf --resource-group my-rg --name my-pipeline --properties @adf/pipeline.json

Step 4: Implement Approval and Rollback Mechanisms

Use GitHub Actions Environments or Azure DevOps approvals to control releases.

Store backups of previous schema versions to roll back changes.

Use feature flags to enable/disable new pipeline features without disrupting production.

Conclusion

By using GitHub Actions or Azure DevOps, you can automate schema changes and data pipeline deployments efficiently, ensuring faster, safer, and more consistent deployments.

WEBSITE: https://www.ficusoft.in/snowflake-training-in-chennai/

[surajkumasblog]

C Program to Check Whether a Character is Vowel or Consonant

Checking whether a character is a vowel or consonant is a fundamental problem in c program to check whether a character is vowel or consonant, conditional statements, and the basics of input/output operations. In this discussion, we will explore how to implement a simple C program to determine whether a given character is a vowel or a consonant.

Understanding Vowels and Consonants In the English alphabet, vowels include:

A, E, I, O, U (both uppercase and lowercase: a, e, i, o, u) All other alphabetic characters are considered consonants. Any character that is not a letter (e.g., numbers, symbols) should be handled separately to ensure robust program behavior.

C Program Implementation Below is a simple C program to check whether an input character is a vowel or consonant:

c Copy Edit

include

int main() { char ch;// Input from user printf("Enter a character: "); scanf("%c", &ch); // Check if the character is a vowel if (ch == 'a' || ch == 'e' || ch == 'i' || ch == 'o' || ch == 'u' || ch == 'A' || ch == 'E' || ch == 'I' || ch == 'O' || ch == 'U') { printf("%c is a vowel.\n", ch); } // Check if it is an alphabet but not a vowel (consonant) else if ((ch >= 'a' && ch <= 'z') || (ch >= 'A' && ch <= 'Z')) { printf("%c is a consonant.\n", ch); } // If it is not an alphabet else { printf("%c is not an alphabet.\n", ch); } return 0;

} Explanation of the Code The program first declares a char variable to store user input. The scanf function reads a single character from the user. A series of if-else conditions determine if the character is a vowel by checking against both uppercase and lowercase vowels. If the character is not a vowel but falls within the range of alphabetic characters (A-Z or a-z), it is classified as a consonant. If the input is neither a vowel nor a consonant (e.g., a digit or symbol), the program informs the user accordingly. Sample Output less Copy Edit Enter a character: a a is a vowel. less Copy Edit Enter a character: B B is a consonant. pgsql Copy Edit Enter a character: 1 1 is not an alphabet. Enhancements and Variations Convert uppercase to lowercase using tolower() function before comparison to simplify conditions. Use switch instead of if-else for an alternative implementation. Extend the program to handle multiple characters using loops.

[vohoangvn]

Nguyên Nhân Trùng IP Modem và Router Wifi – Cách Khắc Phục Hiệu Quả

Trùng IP giữa modem và router WiFi là một trong những nguyên nhân phổ biến dẫn đến tình trạng mạng chậm, không ổn định hoặc mất kết nối hoàn toàn. Khi nhiều thiết bị trong cùng một mạng chia sẻ chung một địa chỉ IP, chúng sẽ xảy ra xung đột, khiến dữ liệu bị gián đoạn. Vậy nguyên nhân của tình trạng này là gì và cách khắc phục ra sao? Hãy cùng tìm hiểu ngay sau đây.

Trùng IP Modem và Router WiFi là gì?

Địa chỉ IP là một dãy số duy nhất được gán cho mỗi thiết bị khi kết nối vào mạng. Khi hai hoặc nhiều thiết bị có cùng một địa chỉ IP, hệ thống không thể phân biệt và dẫn đến lỗi xung đột. Điều này gây ảnh hưởng lớn đến trải nghiệm mạng, bao gồm mất kết nối, tốc độ mạng chậm hoặc lỗi truy cập internet.

Nguyên nhân trùng IP Modem và Router WiFi

Một trong những nguyên nhân chính gây ra lỗi trùng IP là do cấu hình mạng không đúng cách. Mạng hiện đại thường sử dụng DHCP để cấp phát địa chỉ IP tự động cho các thiết bị. Tuy nhiên, nếu một thiết bị được cài đặt IP tĩnh trùng với địa chỉ IP do DHCP cấp phát, sẽ dẫn đến xung đột.

Ngoài ra, sự tồn tại của nhiều máy chủ DHCP trong cùng một mạng cũng có thể gây ra lỗi trùng IP. Khi hai DHCP server cấp phát cùng một địa chỉ IP cho hai thiết bị khác nhau, mạng sẽ gặp sự cố.

Cách xử lý tình trạng trùng IP Modem và Router WiFi

Dưới đây là ba phương pháp hiệu quả để khắc phục lỗi trùng IP trên mạng của bạn:

1. Khởi động lại Modem hoặc Router WiFiĐây là cách đơn giản nhất nhưng thường rất hiệu quả. Bạn có thể:

Truy cập giao diện quản lý của modem hoặc router và chọn chức năng khởi động lại.

Tắt nguồn modem và router, chờ khoảng 30 giây, sau đó bật lại.

Sau khi thực hiện, hãy kiểm tra xem vấn đề đã được khắc phục chưa.

2. Khởi động lại IP Configuration bằng Command PromptNếu lỗi xung đột IP vẫn chưa được giải quyết, bạn có thể làm mới địa chỉ IP trên máy tính Windows bằng cách:

Mở Command Prompt với quyền Admin (Windows + X → Windows PowerShell Admin).

Nhập lần lượt các lệnh sau và nhấn Enter sau mỗi lệnh: pgsql Sao chép Chỉnh sửa netsh int ip reset c:\resetlog.txt  

ipconfig /release  

ipconfig /renew  

Khởi động lại máy tính và kiểm tra kết nối mạng.

3. Cài đặt địa chỉ IP tĩnh theo cách thủ côngNếu cách trên không hiệu quả, bạn có thể thiết lập địa chỉ IP tĩnh:

Mở Network and Sharing Center và chọn kết nối mạng.

Vào Properties → Internet Protocol Version 4 (TCP/IPv4).

Nhập địa chỉ IP tĩnh, subnet mask, default gateway và DNS phù hợp với hệ thống.

Lưu lại và khởi động lại máy tính.

Kết luận

Tình trạng trùng IP giữa modem và router WiFi có thể gây ra nhiều vấn đề về kết nối mạng. Tuy nhiên, bạn có thể dễ dàng khắc phục bằng cách khởi động lại thiết bị, làm mới cấu hình IP hoặc thiết lập địa chỉ IP tĩnh. Nếu vẫn gặp sự cố, hãy liên hệ với chuyên gia kỹ thuật để được hỗ trợ nhanh chóng.

[kyprogramming]

6 - PostgreDB and Prisma Setup - Next.Js-15 eCommerce Project (Next js 15, React 19, PostgreSQL , Prisma, ShadCN , Paypal , Stripe integration

[helicalinsight]

Challenges and Solutions in Migrating from Firebird to PostgreSQL – Ask On Data

Migrating from one database management system (DBMS) to another can be a daunting task, especially when moving from a system like Firebird to PostgreSQL. While both are powerful, open-source relational databases, they have significant differences in architecture, functionality, and performance. The Firebird to PostgreSQL Migration process involves addressing several challenges that may arise, including data integrity, schema differences, and performance optimization. In this article, we will explore some common challenges in this migration and provide practical solutions to ensure a smooth transition.

1. Schema Differences and Compatibility Issues

One of the primary challenges when migrating from Firebird to PostgreSQL is the difference in schema structures and SQL syntax. Firebird uses a slightly different approach to handling data types, constraints, and indexes compared to PostgreSQL. For example, Firebird does not support some advanced PostgreSQL data types such as JSONB and ARRAY, which could complicate the migration process.

Solution: To overcome schema compatibility issues, start by thoroughly analysing the Firebird schema. Identify any Firebird-specific data types and operations, then map them to their PostgreSQL equivalents. You may need to rewrite certain parts of the schema, particularly for custom data types or stored procedures. There are also tools available that can help with this, such as pg_loader or DBConvert, which automate many of the mapping and conversion tasks.

2. Data Migration and Integrity

Migrating large volumes of data from Firebird to PostgreSQL can be another challenge. Ensuring data integrity and avoiding data loss during the migration process is crucial, especially if the database contains sensitive information or is in production use.

Solution: To preserve data integrity, a well-planned migration strategy is essential. Begin with a backup of the Firebird database before initiating any migration tasks. Then, consider using a phased migration approach, starting with less critical data to test the migration process before handling the main data sets. You can use ETL (Extract, Transform, Load) tools to facilitate data transfer while ensuring data types and constraints are properly mapped. Additionally, validating the migrated data through comprehensive testing is critical to confirm its accuracy and consistency.

3. Stored Procedures and Triggers

Firebird and PostgreSQL handle stored procedures and triggers differently. While Firebird uses its own dialect of SQL for creating stored procedures and triggers, PostgreSQL employs PL/pgSQL, which may require substantial changes in the logic and syntax of the existing procedures.

Solution: Manual conversion of stored procedures and triggers from Firebird to PostgreSQL is often necessary. Depending on the complexity, this could be a time-consuming process. It's advisable to map the logic of Firebird stored procedures to PostgreSQL's PL/pgSQL language, ensuring that any procedural or control flow statements are appropriately translated. If the application relies heavily on stored procedures, careful testing should be done to verify that the logic remains intact post-migration.

4. Performance Optimization

Performance optimization is a key concern when migrating databases. While PostgreSQL is known for its strong performance, tuning it to perform optimally for your workload after migration may require adjustments. Firebird and PostgreSQL have different query optimization engines, indexing methods, and transaction handling mechanisms, which can affect performance.

Solution: After migrating the schema and data, conduct a thorough performance analysis of the PostgreSQL instance. Use EXPLAIN ANALYZE and VACUUM to analyse query plans and identify any slow-performing queries. Indexing strategies in PostgreSQL may differ from Firebird, so ensure that indexes are appropriately created for optimal performance. Additionally, fine-tuning PostgreSQL’s configuration settings, such as memory allocation, query cache settings, and vacuum parameters, will help optimize the overall performance of the migrated database.

5. Application Compatibility

The final challenge to address during Firebird to PostgreSQL Migration is ensuring that the applications interacting with the database continue to function properly. The application layer may contain hardcoded SQL queries or assumptions based on Firebird’s behaviour, which might not work as expected with PostgreSQL.

Solution: After migrating the database, thoroughly test all application functionalities that interact with the database. Update any application queries or functions that rely on Firebird-specific features, and ensure they are compatible with PostgreSQL’s syntax and behaviour. Tools like pgAdmin and PostgreSQL JDBC drivers can help test and optimize the connection between the application and PostgreSQL.

Conclusion

Migrating from Firebird to PostgreSQL can be a complex yet rewarding process. By understanding the potential challenges with Ask On Data—such as schema differences, data integrity issues, and performance optimization—and implementing the appropriate solutions, you can ensure a successful migration. With careful planning, testing, and the use of migration tools, you can transition smoothly to PostgreSQL and take advantage of its powerful features and scalability.

[piembsystech]

Avoiding Common Pitfalls in PL/pgSQL

Top PL/pgSQL Pitfalls and How to Avoid Them for Efficient Coding Hello, PL/pgSQL enthusiasts! In this blog post, PL/pgSQL pitfalls – I will introduce you to some of the most common pitfalls in PL/pgSQL programming and how to avoid them. Writing efficient PL/pgSQL code is essential for optimizing PostgreSQL database performance and ensuring smooth execution. Mistakes like inefficient loops, poor…

[tielt]

coding bullshit

been working on some command line tools for about 5 years and finally saw it pay off. i have a 2 TB drive full of movies and i ran my algorithms on it and it went to .3 TB. OMG so much time saved by programming for five years lmao.

It does a shasum on large files and cross-checks your main db drive shas and deletes copies. It sounds simple but it ain't. Anyway ending harvest season strong. I'll probably make a repo with my code, just wanted to report that it works as a working principle. I used bash+sqlite3, pgsql is a pain to setup. my bash sqlite functions are fairly fungible, but not sure how to publish non-npm code for the masses.

if you have a weird data problem i might be contractable for fairly advanced issues on volume (as in you could contract me for data issues), but it's also a bit extensive of a flow for low volume. i hope to make something useable for people with memory issues, but it's diffucult to package cmd code. i just love seeing hours of pruning copies sublimate. small victories y'all.

I ignore the minute chance of shasum collision, there is a certain measure of enterprise that would take issue with this. For most considerations sha 256 is enough. I feel like this is not an artistic topic, but i don't have the typical aversion to engineering as is commonly associated.

[newtglobal]

The Ultimate Guide to Migrating from Oracle to PostgreSQL: Challenges and Solutions

Challenges in Migrating from Oracle to PostgreSQL

Migrating from Oracle to PostgreSQL is a significant endeavor that can yield substantial benefits in terms of cost savings, flexibility, and advanced features. Understanding these challenges is crucial for ensuring a smooth and successful transition. Here are some of the essential impediments organizations may face during the migration:

1. Schema Differences

Challenge: Oracle and PostgreSQL have different schema structures, which can complicate the migration process. Oracle's extensive use of features such as PL/SQL, packages, and sequences needs careful mapping to PostgreSQL equivalents.

Solution:

Schema Conversion Tools: Utilize tools like Ora2Pg, AWS Schema Conversion Tool (SCT), and EDB Postgres Migration Toolkit to automate and simplify the conversion of schemas.

Manual Adjustments: In some cases, manual adjustments may be necessary to address specific incompatibilities or custom Oracle features not directly supported by PostgreSQL.

2. Data Type Incompatibilities

Challenge: Oracle and PostgreSQL support diverse information sorts, and coordinate mapping between these sorts can be challenging. For illustration, Oracle's NUMBER information sort has no coordinate identical in PostgreSQL.

Solution:

Data Type Mapping: Use migration tools that can automatically map Oracle data types to PostgreSQL data types, such as PgLoader and Ora2Pg.

Custom Scripts: Write custom scripts to handle complex data type conversions that are not supported by automated tools.

3. Stored Procedures and Triggers

Challenge: Oracle's PL/SQL and PostgreSQL's PL/pgSQL are similar but have distinct differences that can complicate the migration of stored procedures, functions, and triggers.

Solution:

Code Conversion Tools: Use tools like Ora2Pg to convert PL/SQL code to PL/pgSQL. However, be prepared to review and test the converted code thoroughly.

Manual Rewriting: For complex procedures and triggers, manual rewriting and optimization may be necessary to ensure they work correctly in PostgreSQL.

4. Performance Optimization

Challenge: Performance tuning is essential to ensure that the PostgreSQL database performs as well or better than the original Oracle database. Differences in indexing, query optimization, and execution plans can affect performance.

Solution:

Indexing Strategies: Analyze and implement appropriate indexing strategies tailored to PostgreSQL.

Query Optimization: Optimize queries and consider using PostgreSQL-specific features, such as table partitioning and advanced indexing techniques.

Configuration Tuning: Adjust PostgreSQL configuration parameters to suit the workload and hardware environment.

5. Data Migration and Integrity

Challenge: Ensuring data judgment during the migration process is critical. Huge volumes of information and complex information connections can make data migration challenging.

Solution:

Data Migration Tools: Use tools like PgLoader and the data migration features of Ora2Pg to facilitate efficient and accurate data transfer.

Validation: Perform thorough data validation and integrity checks post-migration to guarantee that all information has been precisely exchanged and is steady.

6. Application Compatibility

Challenge: Applications built to interact with Oracle may require modifications to work seamlessly with PostgreSQL. This includes changes to database connection settings, SQL queries, and error handling.

Solution:

Code Review: Conduct a comprehensive review of application code to identify and modify Oracle-specific SQL queries and database interactions.

Testing: Implement extensive testing to ensure that applications function correctly with the new PostgreSQL database.

7. Training and Expertise

Challenge: The migration process requires a deep understanding of both Oracle and PostgreSQL. Lack of expertise in PostgreSQL can be a significant barrier.

Solution:

Training Programs: Invest in training programs for database administrators and developers to build expertise in PostgreSQL.

Consultants: Consider hiring experienced consultants or engaging with vendors who specialize in database migrations.

8. Downtime and Business Continuity

Challenge: Minimizing downtime during the migration is crucial for maintaining business continuity. Unexpected issues during migration can lead to extended downtime and disruptions.

Solution:

Detailed Planning: create a comprehensive migration plan with detailed timelines and possibility plans for potential issues.

Incremental Migration: Consider incremental or phased migration approaches to reduce downtime and ensure a smoother transition.

Elevating Data Operations: The Impact of PostgreSQL Migration on Innovation

PostgreSQL Migration not only enhances data management capabilities but also positions organizations to better adapt to future technological advancements. With careful management of the PostgreSQL migration process, businesses can unlock the full potential of PostgreSQL, driving innovation and efficiency in their data operations. From Oracle to PostgreSQL: Effective Strategies for a Smooth Migration Navigating the migration from Oracle to PostgreSQL involves overcoming several challenges, from schema conversion to data integrity and performance optimization. Addressing these issues requires a combination of effective tools, such as Ora2Pg and AWS SCT, and strategic planning. By leveraging these tools and investing in comprehensive training, organizations can ensure a smoother transition and maintain business continuity. The key to victory lies in meticulous planning and execution, including phased migrations and thorough testing. Despite the complexities, the rewards of adopting PostgreSQL- cost efficiency, scalability, and advanced features far outweigh the initial hurdles. Thanks For Reading

For More Information, Visit Our Website: https://newtglobal.com/

[vidadelafuerza]

PostgreSQL, PowerShell and Software Development

PostgreSQL is something else. It's enjoyable, I'm not worried about licensing, and I find everything about PGSQL 16 to be pretty easy to learn, given my background. Their documentation is stellar, and specific questions I might have typically have a presence on the web (usually in a Stack Exchange site).

Over the past few weeks, I migrated a bunch of data from JSON and CSV files I was manipulating via ConvertFrom cmdlets in PowerShell. Moving the data was no problem. PG's COPY command is useful and so is pgAdmin 4. UTF8 versus Windows 1252 text encoding for CLI work was annoying, but only a minor delay. Adapting some of the programmatic features from PowerShell, such as regex replacements, proved more arduous but nothing was spectacularly difficult.

To render some of the data (more than 30,000 rows) into readable text, I made a PS script that rendered the SQL that then rendered single-column CSV results I could then finalize. For that finalization, I ran WSL2 dos2unix and a few sed commands. It was vastly easier to do that than to operate purely in PowerShell or PostgreSQL.

In BeyondCompare 4, I was able to see that my previous text results matched what I was getting from PowerShell, and as a bonus, PG did it in 25% of the time (4 times faster).

My efforts have been lovely exercises in finding and using resources while also finding and NOT utilizing resources. Each step has taken effort and involved a lot of small proof-of-concept and pseudo code before actual development or processing. PowerShell's Select-Object has become my favorite tool to limit data for testing. The smallest effective step is almost always the best step. It's a software development and/or engineering version of Occam's razor.

My next steps are up in the air somewhat. I have an idea of what I want to do with my data and content, but making it happen means thinking about it until the right path reveals itself. This part is most Zen and a bunch of RTFM.

Chances are good that I'll end up with an Express.js app, some client rendering framework (e.g. Angular), and a number of stored procedures or functions in PGSQL that do what I want. Chances are also good that I'm going to index what I'm working against in such a way that text replacement can be as fast as Big-O log(n). That's the goal, operatively, but the real goal is to master what I want to know of Postgres and to expand my knowledge of Node.js and client-side JavaScript (or ECMA).

[blog2258]

Comprehensive Guide for Oracle to PostgreSQL Migration at Quadrant 

Migrating from Oracle to PostgreSQL at Quadrant is a multi-faceted process involving meticulous planning, schema conversion, data migration, and thorough testing. This guide offers a detailed step-by-step approach to ensure a smooth and efficient transition. 

Phase 1: Pre-Migration Assessment 

Inventory of Database Objects: 

Start by cataloging all objects in your Oracle database, including tables, views, indexes, triggers, sequences, procedures, functions, packages, and synonyms. This comprehensive inventory will help you scope the migration accurately. 

Analysis of SQL and PL/SQL Code: 

Review all SQL queries and PL/SQL code for Oracle-specific features and syntax. This step is crucial for planning necessary modifications and ensuring compatibility with PostgreSQL. 

Phase 2: Schema Conversion 

Data Type Mapping: 

Oracle and PostgreSQL have different data types. Here are some common mappings: 

Oracle Data Type PostgreSQL Data Type 

NUMBER NUMERIC 

VARCHAR2, NVARCHAR2 VARCHAR 

DATE TIMESTAMP 

CLOB TEXT 

BLOB BYTEA 

RAW BYTEA 

TIMESTAMP WITH TIME ZONE TIMESTAMPTZ 

TIMESTAMP WITHOUT TIME ZONE TIMESTAMP 

Tools for Schema Conversion: 

Utilize tools designed to facilitate schema conversion at Quadrant : 

ora2pg: A robust open-source tool specifically for Oracle to PostgreSQL migration. 

SQL Developer Migration Workbench: An Oracle tool to aid database migrations. 

pgloader: Capable of both schema and data migration. 

Update Connection Strings: 

Modify your application’s database connection strings to point to the PostgreSQL database. This involves updating configuration files, environment variables, or code where connection strings are defined. 

Modify SQL Queries: 

Review and adjust SQL queries to ensure compatibility with PostgreSQL. Replace Oracle-specific functions with PostgreSQL equivalents, handle case sensitivity, and rewrite joins and subqueries as needed. 

Rewrite PL/SQL Code: 

Rewrite Oracle PL/SQL code (procedures, functions, packages) in PostgreSQL’s procedural language, PL/pgSQL. Adapt the code to accommodate syntax and functionality differences. 

Phase 5: Testing 

Functional Testing: 

Conduct thorough functional testing to ensure that all application features work correctly with the PostgreSQL database. This includes testing all CRUD operations and business logic. 

Performance Testing: 

Compare the performance of your application on PostgreSQL against its performance on Oracle. Identify and optimize any slow queries or processes. 

Data Integrity Testing: 

Verify the accuracy of data post-migration by checking for data loss, corruption, and ensuring the integrity of relationships and constraints. 

Phase 6: Cutover 

Final Backup: 

Take a final backup of the Oracle database before the cutover to ensure you have a fallback option in case of any issues. 

Final Data Sync: 

Perform a final incremental data sync to capture any changes made during the migration process. 

Go Live: 

Switch your application to use the PostgreSQL database. Ensure that all application components are pointing to the new database and that all services are operational. 

Additional Resources 

Official Documentation: 

Refer to the official documentation of migration tools (ora2pg, pgloader, PostgreSQL) for detailed usage instructions and options. 

Community and Support: 

Engage with community forums, Q&A sites, and professional support for assistance during migration. The PostgreSQL community is active and can provide valuable help. 

Conclusion 

Migrating from Oracle to PostgreSQL requires careful planning, thorough testing, and methodical execution. By following this guide, you can systematically convert your Oracle schema, migrate your data, and update your application to work seamlessly with PostgreSQL. This transition will allow you to leverage PostgreSQL’s open-source benefits, advanced features, and robust community support. 

For more detailed guidance and practical examples, explore our in-depth migration guide from Oracle to PostgreSQL. This resource provides valuable insights and tips to facilitate your migration journey. 

[edchart]

Master Postgresql Certification: Ace Your Postgresql Developer Exam

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Master Postgresql Certification: Ace Your Postgresql Developer Exam

Description for Postgresql

Check out Postgresql - a robust open-source relational databases system that is known for its reliability, scaleability, and extensive feature set. Even if you're a professional Postgres Database administrator or an aspiring developer, knowing how to use Postgresql can open the doors of possibilities in the tech field. Learn the ins as well as outs about Postgresql certification with Edchart.com's comprehensive certification program. From basic concepts all the way to sophisticated techniques. Our course will teach you everything you need know to become a competent Postgresql Framework expert.

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[thedbahub]

How to Convert a SQL Server Stored Procedure to PostgreSQL

Are you migrating a database from SQL Server to PostgreSQL? One key task is converting your stored procedures from T-SQL to PL/pgSQL, PostgreSQL’s procedural language. In this article, you’ll learn a step-by-step process for translating a SQL Server stored procedure to its PostgreSQL equivalent. By the end, you’ll be able to confidently port your T-SQL code to run on Postgres. Understand the…