Merge remote session logs

20/746187d135/0/content_hash.txt

@@ -0,0 +1 @@
+sha256:9afbd2231cd2de94d00602cda5fece31185c1a0c488b63391fed94963950b039

20/746187d135/0/context.md

@@ -0,0 +1,17 @@
+# 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...
+

20/746187d135/0/metadata.json

@@ -0,0 +1,30 @@
+{
+  "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
+  }
+}

20/746187d135/0/prompt.txt

@@ -0,0 +1,41 @@
+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

20/746187d135/metadata.json

@@ -0,0 +1,26 @@
+{
+  "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"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 9,
+    "cache_creation_tokens": 13749,
+    "cache_read_tokens": 131587,
+    "output_tokens": 1095,
+    "api_call_count": 7
+  }
+}

4a/675b8352a2/0/content_hash.txt

@@ -0,0 +1 @@
+sha256:845109d4cb30fba60756c58e6a29176c1ba31c59551025ef12f38bcebe20c68a

4a/675b8352a2/0/context.md

@@ -0,0 +1,26 @@
+# 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]
+

4a/675b8352a2/0/metadata.json

@@ -0,0 +1,32 @@
+{
+  "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,
+    "cache_read_tokens": 624841,
+    "output_tokens": 9466,
+    "api_call_count": 17
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T04:08:45.27362Z",
+    "agent_lines": 139,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 139,
+    "agent_percentage": 100
+  }
+}

4a/675b8352a2/0/prompt.txt

@@ -0,0 +1,105 @@
+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]

4a/675b8352a2/metadata.json

@@ -0,0 +1,28 @@
+{
+  "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": {
+    "input_tokens": 23,
+    "cache_creation_tokens": 84788,
+    "cache_read_tokens": 624841,
+    "output_tokens": 9466,
+    "api_call_count": 17
+  }
+}

85/8b34ef56b8/0/content_hash.txt

@@ -0,0 +1 @@
+sha256:759250a16880d93d21fe76c34a6df6f66e6f077f5d0696f456150a6e10bdf5d4

85/8b34ef56b8/0/context.md

@@ -0,0 +1,22 @@
+# 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...
+

85/8b34ef56b8/0/metadata.json

@@ -0,0 +1,30 @@
+{
+  "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": {
+    "input_tokens": 11,
+    "cache_creation_tokens": 9711,
+    "cache_read_tokens": 180508,
+    "output_tokens": 1631,
+    "api_call_count": 9
+  },
+  "initial_attribution": {
+    "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
+  }
+}

85/8b34ef56b8/0/prompt.txt

@@ -0,0 +1,64 @@
+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

85/8b34ef56b8/metadata.json

@@ -0,0 +1,26 @@
+{
+  "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"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 11,
+    "cache_creation_tokens": 9711,
+    "cache_read_tokens": 180508,
+    "output_tokens": 1631,
+    "api_call_count": 9
+  }
+}

bf/29af79b268/0/content_hash.txt

@@ -0,0 +1 @@
+sha256:b184f713fed8a0efc8240d19849de07ab8e1009e71da3ce0891e3f282cf69adb

bf/29af79b268/0/context.md

@@ -0,0 +1,34 @@
+# 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.
+

bf/29af79b268/0/metadata.json

@@ -0,0 +1,30 @@
+{
+  "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,
+    "output_tokens": 11761,
+    "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
+  }
+}

bf/29af79b268/0/prompt.txt

@@ -0,0 +1,113 @@
+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.

bf/29af79b268/metadata.json

@@ -0,0 +1,26 @@
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+  "files_touched": [
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+  ],
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+      "content_hash": "/bf/29af79b268/0/content_hash.txt",
+      "prompt": "/bf/29af79b268/0/prompt.txt"
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+}