extended is not the same as unlimited :-)

We're moving from 32-bit block numbers to 40-bit block numbers, which means the max size for a database with 8k block size is 8PB. Obviously, those are huge amounts of data, and we strongly recommend against just stashing that all in a single IRIS.DAT file,, if your file system permits such files at all. Multivolume database support already helps you spread data across multiple physical files (opaquely), and the new Table Partitioning support (experimental in 2026.1) helps you spread table data across multiple databases. 

If you wonder why we stuck with 40 bit numbers rather than a power of 2: we were able to reuse a few available bits in the current block header format, meaning you can transparently and instantly upgrade to this Extended Database Format without having to migrate your almost-32TB database to a new block header format. And 8PB is quite large already...

We found a small issue affecting some Vector Search queries that may lead to a runtime error when your vector search query uses aliases to shorten or disambiguate table names. The problem can be worked around by rewriting your query to avoid using aliases. A fix for this issue will be included in the next preview kit, due in two weeks.

We also identified a separate issue with unintended changes to DSTIME behaviour, and recommend DSTIME users to skip this preview. The next preview kit will restore the original DSTIME behaviour.

I got completely distracted by this article's use of "Dynamic SQL". Dynamic SQL is a fairly specific concept on our platform, and historically there's been a small difference between Dynamic and Embedded SQL in terms of overhead, but that has all but evaporated over the past few years by consecutive optimizations. Now suddenly this article seems to suggest there's a huge gap, so I got hooked and dug into the code, only to find that this method is making a rather crazy detour through %DynamicObject for no real reason, on the way from the SQL result set to the dataframe. In other words, all you're measuring between the "Dynamic SQL" and "IRIS SQL" options is exactly that %DynamicObject overhead.

It's only a name, true, but people only doing a cursory read of the article may take away the completely wrong thing.

For those excited about Table Partitioning, my colleague @Ben Schlanger just posted an updated set of kits and some extensions of the tutorial, including support for MOVE PARTITION with nonempty partitions, and how to use the ALTER TABLE t CONVERT .. command to turn a non-partitioned table into a partitioned one. All of this is on track to be included with IRIS 2026.1 in the new year!

We don't want you to get bored during the holidays ;-)

that first line is required to initialize the mbChunk variable used in the loop, else you'd get an UNDEFINED at runtime.

I'm thinking the way how you're using this macro is slightly off, and this has the same root cause as the other thread you opened. This macro is expected to be used on its own:

  // some logic here
  $$$AndBits(^glo1,^glo2)
  // more logic here, and note there's at least a space before all these lines

hope this helps

Hi @José Pereira , you can use the maxerrors flags in a USING clause to bail out earlier, though I'm guessing you're actually already using it to achieve the opposite and make sure you process all the correct rows. 

We're intentionally writing verbose logs as that was an explicit request early on. As for retention, that was overlooked in the initial release, but is a roadmap item to make this follow the existing PurgeErrors CPF setting (and I'll add a note to the ticket you brought it up). In the absence of that, you can just use DELETE or TRUNCATE on these log tables.

right, I was misled by the error message, which is the same for what you'd get if you omit that initial whitespace.

Given that is your macro use, the error is because the expanded statement (which you can see from the generated .INT code) is invalid:

set a = if %arr>0 QUIT 5

A macro gets expanded before code gets compiled, and should not be mistaken for a function call.

If you want to use that macro on the RHS of a set command, you'll need to rewrite it into something like $select(%arr>0, 5, 123).

Here's an example that combines two bitmaps:

#define AndBits(%dst,%src) ##continue
    set mbChunk=""                                      ##continue
    for {                                               ##continue
        set mbChunk=$o(%dst(mbChunk),1,mbBits)          ##continue
        quit:mbChunk=""                                 ##continue
        set mbBits=$bitlogic(mbBits&%src(mbChunk))      ##continue
        If $bitfind(mbBits,1) {                         ##continue
            Set %dst(mbChunk)=$bitlogic(mbBits)         ##continue
        } Else {                                        ##continue
            Kill %dst(mbChunk)                          ##continue
        }                                               ##continue
    }

Using ##continue helps you avoid cramming everything onto a single line

I agree it's become more of a style preference thing, so absolutely something to have strong opinions and religious debates about :-)

The only thing to avoid is using Dynamic SQL to conveniently build your query and then feed in query parameters through string concatenation rather than as true ?-style parameters. That's a security risk you wouldn't run with Embedded SQL. That's all. Back to the debate! :-)

That REST API is indeed for querying iFind indices (hence the direct reference to an index you can provide) and the somewhat confusingly named "query" argument is actually to pass in the iFind search string. The API will then build a full SQL query for you and run it right away. 

Here's the OpenAPI spec for this endpoint (from self-documentation endpoint /api/iKnow/v1/USER/swagger):

  /table/{table}/search:
    post:
      operationId: /table/{table}/search-POST
      summary: |
        Search the given iFind index in the given table
      tags: ["iFind"]
      parameters:
        - $ref: '#/parameters/tableParam'
        - name: RequestBody
          description: JSON object with a list of query-specific arguments
          in: body
          schema:
            type: object
            properties:
              query:
                description: This is the only necessary parameter with no default value. The search terms to query against the iFind index.
                type: string
              index:
                description: the iFind index would be searched against, if you don't specify it, the first found iFind index would be used .
                type: string
              option:
                $ref: '#/definitions/OptionSpec'
              distance:
                description: only valid when option is fuzzy search (when option is 3)
                type: string
                example: "3"
              language:
                description: iKnow-supported language model to apply, for example "en"
                type: string
              includeText:
                description: whether the returned columns should include the column beging indexed by 'index'
                type: integer
                default: 0
                enum: [0, 1] 
              columns:
                description: specify the columns which also needed to be returned. For example, ["column1","column2"] 
                type: array
                example: []
                items:
                  type: string
              highlightSpec:
                $ref: '#/definitions/HighlightSpec'
                description: the parameters needed for Highlight
              rankSpec:
                $ref: '#/definitions/RankSpec'
                description: the parameters needed for Rank
              where:
                description: the valid SQL logical condition statement. For example, "column1 = ? AND column2 = ?"
                type: string
      responses:
        200:
          description: Successful response
          schema:
            type: object
            properties:
              rows:
                type: array
                default: []
                items:
                  type: object