{"version":"https://jsonfeed.org/version/1.1","user_comment":"This feed allows you to read the posts from this site in any feed reader that supports the JSON Feed format. To add this feed to your reader, copy the following URL -- https://w2.influxdata.com/blog/feed/json -- and add it your reader.","home_page_url":"https://www.influxdata.com/blog/","feed_url":"https://www.influxdata.com/blog/nga-tran/feed/json","language":"en-US","title":"Blog \u0026#8211; InfluxData","description":"The Platform for Time-Series Data","icon":"https://www.influxdata.com/wp-content/uploads/cubo.svg","items":[{"url":"https://www.influxdata.com/blog/how-read-influxdb-3-query-plans","title":"How to read InfluxDB 3.0 Query Plans","content_text":"This blog post explains how to read a query plan in InfluxDB 3.0 and requires basic knowledge of InfluxDB 3.0 System Architecture. InfluxDB 3.0 supports two query languages: SQL and InfluxQL. The database executes a query written in either SQL or...","date_published":"Mon, 29 Jan 2024 08:00:00 +0000","date_modified":"Mon, 29 Jan 2024 08:00:00 +0000","authors":[{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}],"tags":["Developer"],"author":{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}},{"url":"https://www.influxdata.com/blog/partitioning-data-query-performance-influxdb-3","title":"Partitioning Data for Query Performance in InfluxDB 3.0 ","content_text":"Query performance is critical in any database. Data partitioning is a mechanism that helps prune unnecessary data, allowing queries to run faster. However, there are always trade-offs between large and small numbers of partitions. For instance, fine-grained partitioning on high cardinality...","date_published":"Fri, 19 Jan 2024 08:00:00 +0000","date_modified":"Fri, 19 Jan 2024 08:00:00 +0000","authors":[{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}],"tags":["Developer"],"author":{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}},{"url":"https://www.influxdata.com/blog/influxdb-3-0-system-architecture","title":"InfluxDB 3.0: System Architecture","content_text":"InfluxDB 3.0 (previously known as InfluxDB IOx) is a (cloud) scalable database that offers high performance for both data loading and querying, and focuses on time series use cases. This article describes the system architecture of the database. Figure 1 shows...","date_published":"Tue, 27 Jun 2023 07:35:00 +0000","date_modified":"Tue, 27 Jun 2023 07:35:00 +0000","authors":[{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"},{"name":"Paul Dix","url":"https://www.influxdata.com/blog/author/pauld/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/1Z3z96nBggVsudZXyWTqFI/d58f23d9ec805fa67f94b346c2ecd6e0/Paul-Dix.jpg"},{"name":"Andrew Lamb","url":"https://www.influxdata.com/blog/author/andrew-lamb/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/6OrZ7Y4kSU1cEDERYZ2QSN/abe79e60deb1fccf17d8f75e05ca685e/Andrew-Lamb.jpg"},{"name":"Marko Mikulicic","url":"https://www.influxdata.com/blog/author/marko-mikulicic/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2JMekmxJr92D5FZvNdkxZr/e899ac0da1f3c2b8d152343d346f0cd5/Marko-Mikulicic.jpg"}],"tags":["Product"],"author":{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}},{"url":"https://www.influxdata.com/blog/compactor-hidden-engine-database-performance","title":"Compactor: A Hidden Engine of Database Performance","content_text":"This article was originally published in InfoWorld and is reposted here with permission. The compactor handles critical post-ingestion and pre-query workloads in the background on a separate server, enabling low latency for data ingestion and high performance for queries. The demand...","date_published":"Mon, 27 Mar 2023 07:00:00 +0000","date_modified":"Mon, 27 Mar 2023 07:00:00 +0000","authors":[{"name":"Paul Dix","url":"https://www.influxdata.com/blog/author/pauld/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/1Z3z96nBggVsudZXyWTqFI/d58f23d9ec805fa67f94b346c2ecd6e0/Paul-Dix.jpg"},{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}],"tags":["Developer"],"author":{"name":"Paul Dix","url":"https://www.influxdata.com/blog/author/pauld/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/1Z3z96nBggVsudZXyWTqFI/d58f23d9ec805fa67f94b346c2ecd6e0/Paul-Dix.jpg"}},{"url":"https://www.influxdata.com/blog/using-deduplication-eventually-consistent-transactions","title":"Using Deduplication for Eventually Consistent Transactions","content_text":"This article was originally published in InfoWorld and is reposted here with permission. Deduplication is an effective alternative to transactions for eventually consistent use cases of a distributed database. Here’s why. Building a distributed database is complicated and needs to consider...","date_published":"Mon, 13 Mar 2023 07:00:00 +0000","date_modified":"Mon, 13 Mar 2023 07:00:00 +0000","authors":[{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}],"tags":["Use Cases","Developer"],"author":{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}},{"url":"https://www.influxdata.com/blog/partitioning-performance-sharding-database-system","title":"Partitioning for Performance in a Sharding Database System","content_text":"This article was originally published in InfoWorld and is reposted here with permission. Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding...","date_published":"Fri, 18 Nov 2022 07:00:00 +0000","date_modified":"Fri, 18 Nov 2022 07:00:00 +0000","authors":[{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}],"tags":["Product","Use Cases"],"author":{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}},{"url":"https://www.influxdata.com/blog/scaling-throughput-performance-sharding-database-system","title":"Scaling Throughput and Performance in a Sharding Database System","content_text":"This article was originally published in InfoWorld and is reposted here with permission. Understand the two dimensions of scaling for database query and ingest workloads, and how sharding can make scaling elastic — or not. Scaling throughput and performance are critical...","date_published":"Wed, 16 Nov 2022 07:00:00 +0000","date_modified":"Wed, 16 Nov 2022 07:00:00 +0000","authors":[{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}],"tags":["Product","Use Cases"],"author":{"name":"Nga Tran","url":"https://www.influxdata.com/blog/author/nga-tran/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2l5ujaO8UPQreak8Jrj1jl/eecf31b1749193c3621dcf8305d4c870/nga-tran.jpg"}}]}