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How Does PostgreS Work? 

How Does PostgreS Work?

PostgreS is an object-relational database system often used for large-scale systems. It has many features that make it easy to use. These features include extensibility, multi-version concurrency control, and JIT compilation of expressions.

Database management system

How to deploy PostgreS to Kubernetes? Postgres is a database management system (DBMS) that provides an object-relational interface. It supports various programming languages, including C/C++, Java, Perl, Python, and Tcl. In addition, it is platform-independent. Postgres supports a wide range of data types. The user can also create their custom data types. This allows users to store complex data objects in a single database. Compared to other DBMSs, Postgres has many advanced features. These include Multi-Version Concurrency Control, which prevents collisions among multiple clients accessing the same table simultaneously. Also, it can support nested transactions. Among the other features, Postgres supports the storage of large binary objects and images. It is also platform-aware and supports international character sets. Another feature that Postgres offers is point-in-time recovery. It allows the user to recover their data from a single point in time. For this, Postgres uses Write-Ahead Logging. Instead of writing a data file for each change, it writes it to a temporary disk file. In addition to its database capabilities, Postgres provides an efficient SQL engine. It is entirely ACID compliant.

Object-relational database system

Postgres is an open-source object-relational database management system (ORDBMS) with a wide range of features and extensibility. It is developed by a community of volunteers worldwide. It is a proven solution for a wide range of applications. Aside from standard SQL, Postgres supports several procedural languages. Inheritance in object-relational databases is a crucial feature. This is the ability to create “child” tables, which inherit data from their parent tables. Object-relational database systems enable developers to create complex objects that can be used in relational databases. The Object-Relational Mapping feature of PostgreSQL allows a user to make things in software and then store these objects in a relational database. Postgres is a database that runs on various operating systems, including Linux, AIX, FreeBSD, Windows, and Solaris. It supports multiple data and network address types and can handle many workloads. Among its features are access control, disaster recovery, and authentication.

JIT compilation of expressions

Just-In-Time (JIT) compilation is a feature of PostgreS SQL that accelerates queries’ computation. The benefits of JIT include adaptive optimization, decreased wait time, and lower cost of running applications. Using a suitable JIT compiler for your questions can make a big difference. PostgreS SQL enables the dynamic compilation of expressions, which includes a new JIT expression compiler. Unlike traditional expression compilers, developers can compile the possible minor code to achieve optimum performance. In addition, the JIT feature is not available by default. However, it is enabled by configuration options. You can allow it to be on a per-query basis or globally. It is only sometimes necessary to do this. Using the JIT feature, you can benefit from a 30% increase in performance. This is especially useful for long-running, CPU-bound queries. OLAP databases can benefit from this technology, as they often have complex questions with multiple filters. Despite its name, JIT compilation does optimize not only the compiled code but also the interpreter. Aside from generating faster, more efficient code, it can also reduce the overhead of linking and compiling.

Multiversion concurrency control

Multiversion concurrency control (MVCC) is a database update control method used by various databases, including PostgreSQL. This method isolates transactions and allows multiple versions of the same record to coexist. It also eliminates contention.

In MVCC, a transaction’s txid is serially incremented. This enables a user to have a consistent view of the database. The txid consists of a 32-bit unsigned integer. As a result, the transaction ID is large enough to support up to four billion transactions.

Another critical feature of MVCC is that it allows snapshot isolation reads. Other queries only see the data in the snapshot after committing the operation. With this type of transaction isolation, a reader never locks the table. Likewise, writers can wait for readers to finish before performing the next write. MVCC explains why locking a table is not recommended. When a user updates a row, the new version of the row is visible once the transaction commits. However, users can continue to access the old version while transitionally editing the new one.


Postgres is an open-source relational database management system. It offers a complete set of features that can be easily adapted to meet your needs. It has several advantages over other databases, such as versioned data and parallelism. However, it could be faster for transaction processing. Adding an extension is a great way to get involved in the Postgres development process. This is the most straightforward method to add new functionality to the system. One of the most common extensions is to define a new data type. The PostgreSQL extension framework supports this by implementing functions and binding the new data type to index methods.

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