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Biweekly Updates

This page summarizes changes for Timeplus Enterprise and Timeplus Proton, on a biweekly basis, including new features and important bug fixes.

Aug 19, 2024​

Timeplus Enterprise v2.4.18​

Timeplus Proton v1.5.16​

  • When you start with proton server, it will listen on 0.0.0.0 (instead of 127.0.0.1 in previous verions), so you can connect to Proton from any host. This is not recommended for production deployment but is useful when you start Proton in a container and what to access it from the host.
  • Fix an issue, you can run SELECT * FROM information_schema.tables
  • Support append-only LEFT ALL JOIN append-only.

Aug 6, 2024​

Timeplus Enterprise v2.4.15​

  • Timeplus Enterprise v2.4.15 is released. See full changelog
  • Improved error handling in the SQL Console: if errors occur when executing the query, runtime errors and intermediate query results are shown.
  • With the new mutable stream in Timeplus Enterprise, versioned stream and changelog stream are now deprecated. We now have two types of streams: append-only and mutable.
  • Stream “mode” is renamed to stream “type” in the web console UI.

Timeplus Proton v1.5.15​

  • Timeplus Proton v1.5.15 is released, allowing Timeplus Enterprise v2.4 to read or write via external streams. Learn more

Timeplus Native JDBC v2.0.4​

  • Bug fix: For low_cardinality(nullable), nullable(uuid), map(low_cardinality) and tuple(low_cardinality)
  • Bug fix: Fixed logging problem in some datatypes
  • Bug fix: For the map defaultValue()

Jul 22, 2024​

Timeplus Enterprise​

We are working on Timeplus Enterprise v2.4.x. The build is not ready to be published yet. Key changes:

  • When launching Timeplus Enterprise for the first time, a system dashboard will be created to show usage and workspace stats.
  • In the SQL Console, see a query's pipeline after running a query. Note: This is available for single-node on-prem deployments.
  • New external stream: AutoMQ. A configuration wizard is available in the console UI. Learn more
  • New stream mode: mutable streams, where values with the same primary key(s) will be overwritten. More advanced configuration options will be available soon.
  • In the Help side panel, see detailed version and build times for components.
  • A new "Get Started" section on the homepage for on-prem deployments, with links to a demo video, docs, and support.
  • Added additional metrics for materialized views.
  • Updated license UI for on-prem deployments.
  • Ably data source is now removed.

Timeplus Proton v1.5.14​

  • Remote user-defined functions (UDFs) can now be created via SQL.
    • Example: CREATE REMOTE FUNCTION ip_lookup(ip string) RETURNS string URL 'https://abc.lambda-url.us-west-2.on.aws/'
  • Mutable streams performance tuning: added key_space_full_scan_threads setting.
  • Improved asof join performance.
  • Added support for primary key columns in secondary key.
  • (v1.5.13) Bugfix: When the format schema is dropped, the format schema cache is now properly cleared
  • (v1.5.13) Bugfix: A null pointer access before type cast

Timeplus Native JDBC v2.0.2​

bigint and decimal types are now supported, and a bugfix for invalid version for low cardinality key.

Jul 8, 2024​

Timeplus Enterprise v2.3.5​

  • Different channels for stable builds and latest builds:
    • curl https://install.timeplus.com | sh downloads and installs the stable build (currently v2.3.0).
    • curl https://install.timeplus.com/latest | sh downloads and installs the latest build for you to try newest features and bug fixes (currently v2.3.5).
    • See our changelog for each stable/latest version.
  • New SQL Commands: SYSTEM PAUSE and SYSTEM UNPAUSE. If you want to pause a materialized view, run SYSTEM PAUSE MATERIALIZED VIEW mv. To unpause it, run SYSTEM UNPAUSE MATERIALIZED VIEW mv. We added this feature based on user feedback and to improve troubleshooting efficiency. Learn more

Timeplus Proton v1.5.12​

Timeplus Native JDBC v2.0.1​

A new JDBC driver for Timeplus is now available, supporting both streaming and batch queries. Compared to the JDBC driver we released last year, this new driver talks to Timeplus via the TCP native protocol, with better performance. Learn more

Jun 24, 2024​

Timeplus Enterprise v2 is now available for cloud or self-hosted deployment. See installation options for self-hosting.

Timeplus Enterprise v2.3.0​

Self-Hosted:

  • Account setup flow for self-hosted deployment: create account and login screens.
  • License management: In Workspace Settings, see your existing licenses and entitlements. Contact us to purchase a new license, then enter the license key and upload the license file in Workspace Settings.
  • Usage monitoring: Also in Workspace Settings, see your daily usage for ingested data and scanned external stream data.
  • Preview: Python User-Defined Functions (UDF). Create UDFs by leveraging Python libraries, such as pandas. Contact us to try this feature.

Timeplus Proton v1.5.11​

  • When creating an external stream for Apache Kafka and running select count() from table(stream), Timeplus Proton will retrieve the number of messages in the Kafka topic. If you set data_format = "RawBLOB", one_message_per_row=false, Proton will use the Kafka offset to get the message count. But if one_message_per_row=true, then Proton will read each message to split the rows. It won’t retrieve the result as fast as calculating the offset, but it will be more accurate.
  • When using an external stream to write data to Kafka, a new setting kafka_max_message_size is now available. When the external stream is created with data_format='JSONEachRow',one_message_per_row=false, each message in Kafka may contain multiple rows, with each row being a JSON document. This new setting kafka_max_message_size will control how much data will be put in a Kafka message and when to create a new Kafka message, ensuring each message won't exceed the kafka_max_message_size limit.
  • New function: array_fold, which is equivalent to the Array.reduce function in JavaScript, and is used to fold or reduce the elements in an array from left to right by applying a lambda-function to the array elements in a cumulative manner.
  • array_max/min functions now support datetime.
Last updated on by Jove Zhong