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Merge remote session logs

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Jan Eitzinger
2026-03-18 05:31:57 +01:00
parent b0d69a07c3 af86456ab9
commit 8927059027
24 changed files with 1007 additions and 0 deletions
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sha256:9afbd2231cd2de94d00602cda5fece31185c1a0c488b63391fed94963950b039

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# Session Context
## User Prompts
### Prompt 1
Implement the following plan:
# Plan: Improve GetUser logging
## Context
`GetUser` in `internal/repository/user.go` (line 75) logs a `Warn` for every query error, including the common `sql.ErrNoRows` case (user not found). Two problems:
1. `sql.ErrNoRows` is a normal, expected condition — many callers check for it explicitly. It should not produce a warning.
2. The log message **omits the actual error**: `"Error while querying user '%v' from database"` gives no clue what went wrong for re...

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{
"cli_version": "0.4.8",
"checkpoint_id": "20746187d135",
"session_id": "cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7",
"strategy": "manual-commit",
"created_at": "2026-03-16T19:09:46.19279Z",
"branch": "hotfix",
"checkpoints_count": 1,
"files_touched": [
"internal/repository/user.go"
],
"agent": "Claude Code",
"turn_id": "8655b74a6705",
"token_usage": {
"input_tokens": 9,
"cache_creation_tokens": 13749,
"cache_read_tokens": 131587,
"output_tokens": 1095,
"api_call_count": 7
},
"initial_attribution": {
"calculated_at": "2026-03-16T19:09:46.15026Z",
"agent_lines": 0,
"human_added": 1,
"human_modified": 7,
"human_removed": 0,
"total_committed": 8,
"agent_percentage": 0
}
}

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Implement the following plan:
# Plan: Improve GetUser logging
## Context
`GetUser` in `internal/repository/user.go` (line 75) logs a `Warn` for every query error, including the common `sql.ErrNoRows` case (user not found). Two problems:
1. `sql.ErrNoRows` is a normal, expected condition — many callers check for it explicitly. It should not produce a warning.
2. The log message **omits the actual error**: `"Error while querying user '%v' from database"` gives no clue what went wrong for real failures.
This is the same pattern just fixed in `scanJob` (job.go). The established approach: suppress `sql.ErrNoRows`, add `runtime.Caller(1)` context and include `err` in real-error logs.
## Approach
Modify the `Scan` error block in `GetUser` (`internal/repository/user.go`, lines 75-79):
```go
if err := sq.Select(...).QueryRow().Scan(...); err != nil {
if err != sql.ErrNoRows {
_, file, line, _ := runtime.Caller(1)
cclog.Warnf("Error while querying user '%v' from database (%s:%d): %v",
username, filepath.Base(file), line, err)
}
return nil, err
}
```
Add `"path/filepath"` and `"runtime"` to imports (not currently present in user.go).
## Critical File
- `internal/repository/user.go` — only file to change (lines ~7-24 for imports, ~75-79 for error block)
## Verification
1. `go build ./...` — must compile cleanly
2. `go test ./internal/repository/...` — existing tests must pass
If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd.jsonl

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{
"cli_version": "0.4.8",
"checkpoint_id": "20746187d135",
"strategy": "manual-commit",
"branch": "hotfix",
"checkpoints_count": 1,
"files_touched": [
"internal/repository/user.go"
],
"sessions": [
{
"metadata": "/20/746187d135/0/metadata.json",
"transcript": "/20/746187d135/0/full.jsonl",
"context": "/20/746187d135/0/context.md",
"content_hash": "/20/746187d135/0/content_hash.txt",
"prompt": "/20/746187d135/0/prompt.txt"
}
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# Session Context
## User Prompts
### Prompt 1
Implement the following plan:
# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
## Context
Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
## Root Cause
Two-layer unbounde...
### Prompt 2
Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
### Prompt 3
[Request interrupted by user for tool use]

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"cli_version": "0.4.8",
"checkpoint_id": "4a675b8352a2",
"session_id": "0943a044-b17e-4215-8591-c1a0c816ddf0",
"strategy": "manual-commit",
"created_at": "2026-03-18T04:08:45.361889Z",
"branch": "hotfix",
"checkpoints_count": 1,
"files_touched": [
"pkg/metricstore/archive.go",
"pkg/metricstore/parquetArchive.go",
"pkg/metricstore/parquetArchive_test.go"
],
"agent": "Claude Code",
"turn_id": "90b76f55d190",
"token_usage": {
"input_tokens": 23,
"cache_creation_tokens": 84788,
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"api_call_count": 17
},
"initial_attribution": {
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"agent_lines": 139,
"human_added": 0,
"human_modified": 0,
"human_removed": 0,
"total_committed": 139,
"agent_percentage": 100
}
}

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Implement the following plan:
# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
## Context
Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
## Root Cause
Two-layer unbounded accumulation:
1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice
2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`
3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling
Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.
## Fix: Stream per-host to parquet writer
Instead of accumulating all rows, write each host's data as a separate row group.
### Step 1: Add streaming parquet writer (`parquetArchive.go`)
Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:
```go
type parquetArchiveWriter struct {
writer *pq.GenericWriter[ParquetMetricRow]
bw *bufio.Writer
f *os.File
count int
}
func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)
func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)
func (w *parquetArchiveWriter) Close() error
```
- **Remove `SortingWriterConfig`** - no global sort buffer
- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)
- Each `Flush()` creates a separate row group per host
### Step 2: Add row count estimation (`parquetArchive.go`)
```go
func estimateRowCount(cf *CheckpointFile) int
```
Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.
### Step 3: Restructure `archiveCheckpoints` (`archive.go`)
Change from:
```
workers → channel → accumulate allRows → writeParquetArchive(allRows)
```
To:
```
open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer
```
- Only one host's rows in memory at a time
- Track `files`/`dir` for deletion separately (don't retain rows)
- Check `writer.count > 0` instead of `len(allRows) == 0`
### Step 4: Update test (`parquetArchive_test.go`)
- `TestParquetArchiveRoundtrip`: use new streaming writer API
- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)
## Files to Modify
- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `"sort"` import
- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream
- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test
## Memory Impact
- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+
- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak
## Sorting Tradeoff
The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).
## Verification
```bash
go test -v ./pkg/metricstore/...
```
Also verify with `go vet ./pkg/metricstore/...` for correctness.
If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl
---
Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
---
[Request interrupted by user for tool use]

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{
"cli_version": "0.4.8",
"checkpoint_id": "4a675b8352a2",
"strategy": "manual-commit",
"branch": "hotfix",
"checkpoints_count": 1,
"files_touched": [
"pkg/metricstore/archive.go",
"pkg/metricstore/parquetArchive.go",
"pkg/metricstore/parquetArchive_test.go"
],
"sessions": [
{
"metadata": "/4a/675b8352a2/0/metadata.json",
"transcript": "/4a/675b8352a2/0/full.jsonl",
"context": "/4a/675b8352a2/0/context.md",
"content_hash": "/4a/675b8352a2/0/content_hash.txt",
"prompt": "/4a/675b8352a2/0/prompt.txt"
}
],
"token_usage": {
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"cache_read_tokens": 624841,
"output_tokens": 9466,
"api_call_count": 17
}
}

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# Session Context
## User Prompts
### Prompt 1
Implement the following plan:
# Plan: Improve scanJob logging
## Context
`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:
```
WARN Error while scanning rows (Job): sql: no rows in result set
```
Two problems:
1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.
2. When a real scan er...

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{
"cli_version": "0.4.8",
"checkpoint_id": "858b34ef56b8",
"session_id": "7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd",
"strategy": "manual-commit",
"created_at": "2026-03-16T19:03:32.318189Z",
"branch": "hotfix",
"checkpoints_count": 1,
"files_touched": [
"internal/repository/job.go"
],
"agent": "Claude Code",
"turn_id": "9fa519255684",
"token_usage": {
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"output_tokens": 1631,
"api_call_count": 9
},
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"calculated_at": "2026-03-16T19:03:32.265756Z",
"agent_lines": 6,
"human_added": 0,
"human_modified": 0,
"human_removed": 0,
"total_committed": 6,
"agent_percentage": 100
}
}

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Implement the following plan:
# Plan: Improve scanJob logging
## Context
`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:
```
WARN Error while scanning rows (Job): sql: no rows in result set
```
Two problems:
1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.
2. When a real scan error does occur, there's no call-site context — you can't tell which of the ~10 callers triggered it.
The codebase already has a precedent for using `runtime.Caller(1)` in `internal/api/rest.go:188` to include file/line in log messages.
## Approach
Modify `scanJob` in `internal/repository/job.go`:
1. **Skip logging for `sql.ErrNoRows`** — return the error silently. All callers already handle this case themselves.
2. **Add caller context** for real scan errors using `runtime.Caller(1)` — include `file:line` in the warning message.
```go
import (
"database/sql"
"path/filepath"
"runtime"
// existing imports ...
)
func scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {
job := &schema.Job{}
if err := row.Scan(...); err != nil {
if err != sql.ErrNoRows {
_, file, line, _ := runtime.Caller(1)
cclog.Warnf("Error while scanning rows (Job) (%s:%d): %v", filepath.Base(file), line, err)
}
return nil, err
}
// ... rest unchanged
}
```
## Critical File
- `internal/repository/job.go` — only file to change (lines 154–184)
## Imports to check
`database/sql` is likely already imported (used elsewhere in the package). `runtime` and `path/filepath` — check if already present; add if not.
## Verification
1. `go build ./...` — must compile cleanly
2. `go test ./internal/repository/...` — existing tests must pass
3. Manually: trigger a lookup for a non-existent job ID; confirm no warning is logged
4. Manually (or via test): force a real scan error; confirm warning includes `job.go:<line>`
If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/b03f52bf-e58e-45a2-8b95-af846938ee2c.jsonl

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{
"cli_version": "0.4.8",
"checkpoint_id": "858b34ef56b8",
"strategy": "manual-commit",
"branch": "hotfix",
"checkpoints_count": 1,
"files_touched": [
"internal/repository/job.go"
],
"sessions": [
{
"metadata": "/85/8b34ef56b8/0/metadata.json",
"transcript": "/85/8b34ef56b8/0/full.jsonl",
"context": "/85/8b34ef56b8/0/context.md",
"content_hash": "/85/8b34ef56b8/0/content_hash.txt",
"prompt": "/85/8b34ef56b8/0/prompt.txt"
}
],
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"cache_read_tokens": 180508,
"output_tokens": 1631,
"api_call_count": 9
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sha256:b184f713fed8a0efc8240d19849de07ab8e1009e71da3ce0891e3f282cf69adb

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# Session Context
## User Prompts
### Prompt 1
Implement the following plan:
# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
## Context
Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
## Root Cause
Two-layer unbounde...
### Prompt 2
Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
### Prompt 3
[Request interrupted by user for tool use]
### Prompt 4
Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences.
### Prompt 5
Add an Info logmessage in archiveCheckpoints that archving started and provide timing information how long it took.

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{
"cli_version": "0.4.8",
"checkpoint_id": "bf29af79b268",
"session_id": "0943a044-b17e-4215-8591-c1a0c816ddf0",
"strategy": "manual-commit",
"created_at": "2026-03-18T04:22:41.042241Z",
"branch": "hotfix",
"checkpoints_count": 2,
"files_touched": [
"pkg/metricstore/archive.go"
],
"agent": "Claude Code",
"turn_id": "4178691e07bd",
"token_usage": {
"input_tokens": 38,
"cache_creation_tokens": 101668,
"cache_read_tokens": 1392819,
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"api_call_count": 28
},
"initial_attribution": {
"calculated_at": "2026-03-18T04:22:40.9438Z",
"agent_lines": 4,
"human_added": 0,
"human_modified": 0,
"human_removed": 0,
"total_committed": 4,
"agent_percentage": 100
}
}

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Implement the following plan:
# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
## Context
Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
## Root Cause
Two-layer unbounded accumulation:
1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice
2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`
3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling
Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.
## Fix: Stream per-host to parquet writer
Instead of accumulating all rows, write each host's data as a separate row group.
### Step 1: Add streaming parquet writer (`parquetArchive.go`)
Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:
```go
type parquetArchiveWriter struct {
writer *pq.GenericWriter[ParquetMetricRow]
bw *bufio.Writer
f *os.File
count int
}
func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)
func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)
func (w *parquetArchiveWriter) Close() error
```
- **Remove `SortingWriterConfig`** - no global sort buffer
- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)
- Each `Flush()` creates a separate row group per host
### Step 2: Add row count estimation (`parquetArchive.go`)
```go
func estimateRowCount(cf *CheckpointFile) int
```
Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.
### Step 3: Restructure `archiveCheckpoints` (`archive.go`)
Change from:
```
workers → channel → accumulate allRows → writeParquetArchive(allRows)
```
To:
```
open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer
```
- Only one host's rows in memory at a time
- Track `files`/`dir` for deletion separately (don't retain rows)
- Check `writer.count > 0` instead of `len(allRows) == 0`
### Step 4: Update test (`parquetArchive_test.go`)
- `TestParquetArchiveRoundtrip`: use new streaming writer API
- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)
## Files to Modify
- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `"sort"` import
- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream
- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test
## Memory Impact
- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+
- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak
## Sorting Tradeoff
The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).
## Verification
```bash
go test -v ./pkg/metricstore/...
```
Also verify with `go vet ./pkg/metricstore/...` for correctness.
If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl
---
Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
---
[Request interrupted by user for tool use]
---
Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences.
---
Add an Info logmessage in archiveCheckpoints that archving started and provide timing information how long it took.

26
bf/29af79b268/metadata.json Normal file
View File

@@ -0,0 +1,26 @@
{
"cli_version": "0.4.8",
"checkpoint_id": "bf29af79b268",
"strategy": "manual-commit",
"branch": "hotfix",
"checkpoints_count": 2,
"files_touched": [
"pkg/metricstore/archive.go"
],
"sessions": [
{
"metadata": "/bf/29af79b268/0/metadata.json",
"transcript": "/bf/29af79b268/0/full.jsonl",
"context": "/bf/29af79b268/0/context.md",
"content_hash": "/bf/29af79b268/0/content_hash.txt",
"prompt": "/bf/29af79b268/0/prompt.txt"
}
],
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}
}