Summarize the Release Information (known issues) and System Design/Management manuals, add the system-check and system-management skills practiced on the R1.03 test system, and add the progress tracker, issue register and a CI-Eng-Sample placeholder. CLAUDE.md now requires a version check, asks once per conversation whether to work directly or prepare files only, and treats the manuals as development-only. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
52 lines
1.8 KiB
Markdown
52 lines
1.8 KiB
Markdown
---
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task: Export dataset contents with dssqld
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version: R1.03
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source: IM 36K10J10-01EN §2.9.2, §5.6; practiced on the test system 2026-09-30
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status: verified
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---
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# Export dataset contents (dssqld)
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Read-only. Needs CI Server running. Works from a normal or elevated prompt.
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## Export a whole dataset
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```
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dssqld -e <output>.qli -d <DATASET> -c -l <listing>.lst
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```
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- `-d` dataset name (e.g. `ITEM_DF`, `STATUS_DF`, `LOCAL_NODE_DF`, `CLASS_DF`, `OBJECT_DF`).
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- `-c` comma-separated output: first line is the field names, then one quoted row per record.
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- `-l` writes the result summary to a listing file.
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- `-a` also exports hidden fields.
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The console (and listing) end with a summary; check `Errors` is 0:
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```
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Data set Recognized Exported Not found Errors
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ITEM_DF 184 184 0 0
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```
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## Find datasets and fields
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```
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dssqld -f -l dict.lst
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```
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Dumps the data dictionary: every dataset with its description and fields (name, type, length,
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description). Search it to find which dataset holds what, e.g. the version fields are in
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`LOCAL_NODE_DF`, `HOST_NODE_DF` and `ENTERPRISE_SERVER_DF`.
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## Useful datasets seen on R1.03
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| Dataset | Contents |
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|---|---|
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| `LOCAL_NODE_DF` | This node: name, number, version (`VERSION_MAJOR/MINOR/PACK`), licence state |
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| `ITEM_DF` | Item definitions: full name, section path, description, limits, format, type, station, I/O address |
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| `STATUS_DF` | Item status definitions: name, number, alarm state, priority, colour, mnemonic (e.g. 9 = NORMAL) |
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## Filtered exports
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`dssqld -e <output> <filter>.qli` exports using a filter file with `@<DATASET>`, `@FIELD`
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and `@SELECT` keywords (IM 36K10J10 §5.6). The exact filter syntax is **not yet verified**;
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export the whole dataset and filter the CSV instead until it is.
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