Home Database Mysql Tutorial How to Group Consecutive Numeric Values in PostgreSQL using GROUP BY?

How to Group Consecutive Numeric Values in PostgreSQL using GROUP BY?

Jan 09, 2025 pm 01:21 PM

How to Group Consecutive Numeric Values in PostgreSQL using GROUP BY?

Using PostgreSQL's GROUP BY to Aggregate Consecutive Numbers

PostgreSQL offers powerful features for data aggregation. This guide demonstrates how to group consecutive numeric values using the GROUP BY clause, specifically focusing on scenarios involving sequential years.

Example Scenario: Grouping Years by Company and Profession

Imagine a table named qualification with columns company, profession, and year. The goal is to identify unique company-profession combinations and group their consecutive years into arrays.

Step-by-Step Solution:

  1. Identifying Non-Consecutive Years: The first step involves pinpointing where consecutive year sequences break. This is done using window functions:
SELECT
    company,
    profession,
    year,
    CASE
        WHEN ROW_NUMBER() OVER (PARTITION BY company, profession ORDER BY year) = 1 OR
             year - LAG(year, 1, year) OVER (PARTITION BY company, profession ORDER BY year) > 1
        THEN 1
        ELSE 0
    END AS group_cnt
FROM qualification;
Copy after login

This query uses ROW_NUMBER() to assign a unique rank within each company-profession group and LAG() to compare the current year with the preceding year. group_cnt flags non-consecutive years with a 1.

  1. Assigning Group IDs: Next, we assign a unique group ID to each consecutive sequence of years:
SELECT
    company,
    profession,
    year,
    SUM(group_cnt) OVER (ORDER BY company, profession, year) AS group_nr
FROM (
    -- The query from Step 1 goes here
) t1;
Copy after login

The SUM() OVER() window function cumulatively sums the group_cnt values, creating a running total that serves as the group ID (group_nr).

  1. Final Aggregation: Finally, we use array_agg() to aggregate the years within each group:
SELECT
    company,
    profession,
    ARRAY_AGG(year) AS years
FROM (
    -- The query from Step 2 goes here
) t2
GROUP BY company, profession, group_nr
ORDER BY company, profession, group_nr;
Copy after login

This query groups the results by company, profession, and group_nr, using ARRAY_AGG() to combine the years into arrays for each group.

Expected Output: The final output will group consecutive years into arrays:

<code> company | profession |      years
---------+------------+------------------
 Google  | Programmer | {2000}
 Google  | Sales      | {2000,2001,2002}
 Google  | Sales      | {2004}
 Mozilla | Sales      | {2002}
(4 rows)</code>
Copy after login

This method efficiently handles the grouping of consecutive numeric values, providing a clear and concise solution for data analysis in PostgreSQL.

The above is the detailed content of How to Group Consecutive Numeric Values in PostgreSQL using GROUP BY?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

See all articles