{"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://www.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/xiangpeng-hao/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/faster-queries-with-stringview-part-two-influxdb","title":"Using StringView / German Style Strings to Make Queries Faster: Part 2 - String Operations","content_text":"Section 3: Faster String Operations In the first post, we discussed the nuances required to...","date_published":"Tue, 03 Sep 2024 08:00:00 +0000","date_modified":"Tue, 03 Sep 2024 08:00:00 +0000","authors":[{"name":"Andrew Lamb","url":"https://www.influxdata.com/blog/author/andrew-lamb/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/6OrZ7Y4kSU1cEDERYZ2QSN/abe79e60deb1fccf17d8f75e05ca685e/Andrew-Lamb.jpg"},{"name":"Xiangpeng Hao","url":"https://www.influxdata.com/blog/author/xiangpeng-hao/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2XjOHSxeoAzGSAY3MGHT51/f2e29860a841f8d99175a975d87b6b6d/Xiangpeng-Hao.jpg"}],"tags":["Developer"],"author":{"name":"Andrew Lamb","url":"https://www.influxdata.com/blog/author/andrew-lamb/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/6OrZ7Y4kSU1cEDERYZ2QSN/abe79e60deb1fccf17d8f75e05ca685e/Andrew-Lamb.jpg"}},{"url":"https://www.influxdata.com/blog/faster-queries-with-stringview-part-one-influxdb","title":"Using StringView / German Style Strings to Make Queries Faster: Part 1 - Reading Parquet","content_text":"Editor’s Note: This is the first of a two part blog series. This blog describes...","date_published":"Thu, 22 Aug 2024 08:00:00 +0000","date_modified":"Thu, 22 Aug 2024 08:00:00 +0000","authors":[{"name":"Andrew Lamb","url":"https://www.influxdata.com/blog/author/andrew-lamb/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/6OrZ7Y4kSU1cEDERYZ2QSN/abe79e60deb1fccf17d8f75e05ca685e/Andrew-Lamb.jpg"},{"name":"Xiangpeng Hao","url":"https://www.influxdata.com/blog/author/xiangpeng-hao/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2XjOHSxeoAzGSAY3MGHT51/f2e29860a841f8d99175a975d87b6b6d/Xiangpeng-Hao.jpg"}],"tags":["Developer"],"author":{"name":"Andrew Lamb","url":"https://www.influxdata.com/blog/author/andrew-lamb/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/6OrZ7Y4kSU1cEDERYZ2QSN/abe79e60deb1fccf17d8f75e05ca685e/Andrew-Lamb.jpg"}},{"url":"https://www.influxdata.com/blog/how-good-parquet-wide-tables","title":"How Good is Parquet for Wide Tables (Machine Learning Workloads) Really?","content_text":"In this blog post, we quantify the metadata overhead of Apache Parquet files for storing...","date_published":"Tue, 18 Jun 2024 08:00:00 +0000","date_modified":"Tue, 18 Jun 2024 08:00:00 +0000","authors":[{"name":"Xiangpeng Hao","url":"https://www.influxdata.com/blog/author/xiangpeng-hao/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2XjOHSxeoAzGSAY3MGHT51/f2e29860a841f8d99175a975d87b6b6d/Xiangpeng-Hao.jpg"},{"name":"Andrew Lamb","url":"https://www.influxdata.com/blog/author/andrew-lamb/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/6OrZ7Y4kSU1cEDERYZ2QSN/abe79e60deb1fccf17d8f75e05ca685e/Andrew-Lamb.jpg"}],"tags":["Developer"],"author":{"name":"Xiangpeng Hao","url":"https://www.influxdata.com/blog/author/xiangpeng-hao/","avatar":"//images.ctfassets.net/o7xu9whrs0u9/2XjOHSxeoAzGSAY3MGHT51/f2e29860a841f8d99175a975d87b6b6d/Xiangpeng-Hao.jpg"}}]}