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Category: PostgreSQL

Performing Flexible IO Testing in YugabyteDB

Performing Flexible IO Testing in YugabyteDB

ybio is a PL/pgSQL based load generator for PostgreSQL and YSQL. This YugabyteDB-specific IO testing toolkit performs flexible IO testing to specific parts of the YugabyteDB infrastructure with no client installation. And because this toolkit is PL/pgSQL-based, it can also work on native PostgreSQL.

ybio is strongly inspired by Kevin Closson’s SLOB and pgio. Yugabyte Developer Advocate Franck Pachot took pgio and turned it into ybio.

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Announcing YugabyteDB 2.12: Seamless Security and Better Manageability

Announcing YugabyteDB 2.12: Seamless Security and Better Manageability

Last November, we announced the general availability of YugabyteDB 2.11, a major release which extends PostgreSQL compatibility of the open source distributed SQL database. All these features are readily available in this stable release for any production environment.

In addition to making these features GA, YugabyteDB 2.12 introduces several new capabilities and significant improvements towards seamless security and better manageability.

Seamless security

Building customer trust is a top priority at Yugabyte.

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YugabyteDB and Apache Superset: Explore and Visualize Open Source Data

Enterprises today collect and store vast amounts of data. However, realizing business value from this data requires modern data exploration and visualization tools.

Apache Superset is a widely popular, open source data exploration and visualization platform used and supported by enterprises such as Airbnb, Lyft, and Nielsen. More specifically, Superset enables users to quickly and easily explore and visualize large amounts of data stored in YugabyteDB. As a result,

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PostgreSQL Timestamps and Timezones: How to Navigate the Interval Minefield

PostgreSQL Timestamps and Timezones: How to Navigate the Interval Minefield

This is the second of a two part blog post series about the date-time data types that PostgreSQL, and therefore YSQL, support. The first part dealt with the basic business of representing moments (when things happen). The relevant data types here are time, date, and timestamp—where the latter has a without time zone and a with time zone variant.

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PostgreSQL Timestamps and Timezones: What You Need to Know—and What You Don’t

PostgreSQL Timestamps and Timezones: What You Need to Know—and What You Don’t

Anecdotal reports indicate that some PostgreSQL programmers are daunted by the date and time data types, and by how operations that use values of these data types might be affected by the session’s timezone setting. Even experienced developers struggle when they first embark on a critical project that relies on this functionality. YugabyteDB’s YSQL subsystem gives the application developer the same experience as PostgreSQL. So some YSQL users will find the topic challenging, too.

I recently completed a careful and exhaustive study of the topic so that I could write it all up in YugabyteDB’s YSQL documentation.

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YugabyteDB Integrates with Arctype SQL Client

YugabyteDB Integrates with Arctype SQL Client

PostgreSQL has eaten the world. And so Yugabyte set out to build the most Postgres-compatible, scalable, and resilient database. YugabyteDB is not only wire compatible with PostgreSQL, it is code compatible by reusing the upper half of PostgreSQL. Thanks to this compatibility, YugabyteDB can connect to the vast majority of database tools that integrate with Postgres.

In a previous blog post, Yugabyte Developer Advocate Franck Pachot showed how to connect YugabyteDB in Arctype.

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YugabyteDB Savepoints: Checkpointing Work in Distributed Transactions

YugabyteDB Savepoints: Checkpointing Work in Distributed Transactions

Yugabyte brings best-in-class performance, scalability, and availability to YugabyteDB, a fully PostgreSQL-compatible SQL database. Because YugabyteDB’s architecture uses PostgreSQL at the SQL layer, we get a long-tail of PostgreSQL compatibility for free. But implementing savepoints requires deeper integration into YugabyteDB’s distributed persistence and transaction layers. 

In this blog post, we’ll discuss why you should care about savepoints. We’ll also examine how we built savepoints into YugabyteDB’s distributed transaction layer,

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Using GIN Indexes in YugabyteDB

Using GIN Indexes in YugabyteDB

At Yugabyte, we are committed to complete PostgreSQL compatibility. Similar to PostgreSQL, YugabyteDB supports the following three container column types. These three data types are extremely useful in various cases:

  • jsonb – Makes it useful for schema-less data use cases
  • tsvector – Supports full text search through a sorted list of distinct lexemes
  • array – Gives the flexibility to store a large composite variable-length value in a single field

Each data type’s utility is severely limited without an efficient way to index them.

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Announcing YugabyteDB 2.11: The World’s Most PostgreSQL-Compatible Distributed SQL Database

Announcing YugabyteDB 2.11: The World’s Most PostgreSQL-Compatible Distributed SQL Database

This morning we announced the general availability of YugabyteDB 2.11, a major release which extends PostgreSQL compatibility of the open source distributed SQL database! These updates allow application developers to use powerful and familiar PostgreSQL features without compromising resilience, scale, or performance. You can find out how to evaluate PostgreSQL compatibility in YugabyteDB and other popular distributed databases by registering for our upcoming livestream.

One of the biggest roadblocks to database adoption is a lack of familiarity.

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