Bump org.questdb:questdb from 9.2.2 to 9.3.2 in /modules/questdb

[dependabot]

Bumps org.questdb:questdb from 9.2.2 to 9.3.2.

Release notes

Sourced from org.questdb:questdb's releases.

9.3.2

QuestDB 9.3.2

QuestDB 9.3.2 continues the trend of performance upgrades and bugfixes, with some additional new features. Importantly, we introduce the new TICK syntax, a compact DSL for expressing time intervals, alongside faster aggregations, improved applicability of interval scans, and fast parquet queries.

For any questions or feedback, please join us on Slack or on Discourse.

See also our prettier release notes page.

Highlights

New TICK syntax

The Temporal Interval Calendar Kit (TICK is a new DSL for expressing complex time ranges and intervals in a compact, easy-to-use format.

For example, let's say that you want to query one month of data from NYSE, only including trading days and hours. The data in the database is stored in UTC format, so you'd need to convert to different time zones, and build a very complex WHERE clause with ANDs and ORs. Or, alternatively, send lots of narrow queries and combine the results.

Instead, you can express this in a simple string:

-- NYSE trading hours on workdays for January
SELECT * FROM trades
WHERE ts IN '2024-01-[01..31]T09:30@America/New_York#workday;6h29m';

Reading this from left to right, we will the days in 2024-01 in the range of 01..31 (all of them), with the interval beginning at 09:30 in New York time, only considering working days, and the interval ending after 6h29m on each day (inclusive, so at 16:00 New York time).

We then compile this to an efficient interval scan, with the time filtering pushed down:

 intervals: [
    ("2024-01-01T14:30:00.000000Z","2024-01-01T20:59:59.999999Z"),     
("2024-01-02T14:30:00.000000Z","2024-01-02T20:59:59.999999Z"),
("2024-01-03T14:30:00.000000Z","2024-01-03T20:59:59.999999Z"),
...


]

This syntax makes it easier to construct complex intervals, and keep confidence that the execution plan will be optimal.

Please see the TICK docs for more information.

arg_min, arg_max, and geomean aggregates

Let's say you are monitoring trading data, and you track what the max trading price was over an hourly period. You can express that like this:

... (truncated)

Commits

• a62e168 [maven-release-plugin] prepare release 9.3.2
• 9a63678 fix(core): fix dictionary and bitpack encoding for symbol columns in parquet ...
• 112a9f5 fix(core): broken logging in TableWriter that may lead to unresponsive instan...
• b0f976f perf(sql): optimize parquet decode rowgroup performance (#6632)
• 3349375 feat(sql): extend TICK date variable arithmetic with additional time units (#...
• 79e31f6 fix(sql): fix order by position resolution with window functions over CTEs (#...
• 30a36d2 chore(core): fix DirectByteSink.reopen() to clear the sink (#6718)
• 61e417a feat(sql): implement percent_rank() window function (#6712)
• c696a93 chore(ui): upgrade web console to 1.1.13 (#6713)
• 5644a8a feat(sql): timestamp predicate pushdown through virtual models with dateadd o...
• Additional commits viewable in compare view

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