TDengine is a time-series database<\/a> purpose-built for Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. With TDengine making big data accessible, valuable, and affordable, digital transformation has never been easier.<\/p>\n\n\n\n You can also run TDengine in Kubernetes or in Docker containers. See Supported Platforms<\/a> for details about the compatibility of TDengine 3.2.3.0 with various architectures and operating systems.<\/p>\n\n\n\n Note:<\/strong> You must upgrade existing clients to TDengine 3.2.3.0 before connecting to a TDengine 3.2.3.0 server.<\/p>\n\n\n\n You can upgrade TDengine OSS to version 3.2.3.0 from version 3.0.1.5 or later.<\/p>\n\n\n\n To upgrade TDengine OSS, first back up your deployment by making a copy of the TDengine directory. After verifying that your deployment has been backed up, install TDengine 3.2.3.0 as described in the official documentation<\/a>. It is not necessary to uninstall TDengine before upgrading.<\/p>\n\n\n\n Note:<\/strong> If you have deployed TDengine as a cluster, you must shut down and upgrade all nodes in the cluster to TDengine 3.2.3.0. Rolling upgrades are not supported in TDengine 3.2.3.0.<\/p>\n\n\n\n Contact your account representative for assistance in upgrading TDengine Enterprise or TDengine Cloud.<\/p>\n\n\n\nWhat’s New<\/h2>\n\n\n\n
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LAST()<\/code> and LAST_ROW()<\/code> functions have received various performance improvements. Notably, the performance of LAST_ROW()<\/code> is significantly increased when a query includes a column that is entirely null.<\/li>\n\n\n\nCompatibility<\/h2>\n\n\n\n
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Upgrading to TDengine 3.2.3.0<\/h2>\n\n\n\n
Upgrading TDengine OSS<\/h3>\n\n\n\n
Upgrading TDengine Enterprise and TDengine Cloud<\/h3>\n\n\n\n