Datasets:
Add submissions/2018-03 (25 shards, 12.0M rows)
Browse files- README.md +14 -11
- data/submissions/2018/03/020.parquet +3 -0
- data/submissions/2018/03/021.parquet +3 -0
- data/submissions/2018/03/022.parquet +3 -0
- data/submissions/2018/03/023.parquet +3 -0
- data/submissions/2018/03/024.parquet +3 -0
- states.json +26 -12
- stats.csv +2 -1
README.md
CHANGED
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@@ -53,7 +53,7 @@ task_categories:
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The full Reddit archive from [Arctic Shift](https://github.com/ArthurHeitmann/arctic_shift), converted to Parquet and hosted here for easy access. Covers every public subreddit from **2005-12** through **2026-02**.
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-
Right now the archive has **5.7B items** (4.1B comments, 1.6B submissions) in **
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Reddit has been around since 2005. Millions of people use it to talk about everything - programming, sports, cooking, politics, niche hobbies. That makes it one of the best sources of natural conversation data for language model training, sentiment analysis, community research, and information retrieval. Most Reddit datasets only cover specific subreddits or time windows. This one covers all of it.
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@@ -118,7 +118,7 @@ states.json live pipeline state (updated every ~5 min)
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2015 ████░░░░░░░░░░░░░░░░░░░░░░░░░░ 70.5M
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| 119 |
2016 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 90.6M
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| 120 |
2017 ███████░░░░░░░░░░░░░░░░░░░░░░░ 117.2M
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| 121 |
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2018 █░░░░░░░░░░░░░░░░░░░░░░░░░░░░
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| 122 |
2019 █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 21.2M
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| 123 |
2023 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 39.2M
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| 124 |
2024 ████████████████████████████░░ 477.4M
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@@ -236,13 +236,13 @@ huggingface-cli download open-index/arctic \
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| Type | Months | Rows | Parquet Size |
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|------|-------:|-----:|-------------:|
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| comments | 148 | 4.1B | 352.2 GB |
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| 239 |
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| submissions |
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| **Total** | **148** | **5.7B** | **
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (148 comment months +
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| Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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|-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
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@@ -541,6 +541,7 @@ huggingface-cli download open-index/arctic \
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| 2018-02 | comments | - | 22m55s | 242m13s | 10m17s | 173 | 86,467,179 | 7.5 GB |
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| 542 |
| 2018-02 | submissions | - | 26m28s | 90m53s | 2m06s | 22 | 10,567,231 | 1.3 GB |
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| 543 |
| 2018-03 | comments | - | 28m00s | 326m21s | 12m56s | 193 | 96,490,262 | 8.3 GB |
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| 544 |
| 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
|
| 545 |
| 2023-12 | submissions | 15.2 GB | 30m19s | 76m33s | 26m24s | 79 | 39,245,797 | 4.4 GB |
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| 546 |
| 2024-01 | submissions | 16.1 GB | 183m48s | 126m12s | 21m25s | 83 | 41,263,034 | 4.7 GB |
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> Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 192 GB free). Auto-updated every ~5 minutes.
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-
**Started:** 2026-04-05 20:37 UTC / **Elapsed:** 54h
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### Active Workers
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| Stage | Month | Type | Progress |
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| 608 |
|-------|-------|------|----------|
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-
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### Throughput
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| Metric | Value |
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|--------|------:|
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| Download | 33 Mbps avg |
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| Processing | 4.
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| Upload | 425.7s per commit avg |
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| ETA | 2026-05-
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### Progress
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@@ -628,7 +631,7 @@ ORDER BY year, month, type;
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| Rows processed | 760.7M |
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| Data committed | 67.7 GB |
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*Last update: 2026-04-08 03:
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# Dataset card for Arctic Shift Reddit Archive
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Questions, feedback, or issues - open a discussion on the [Community tab](https://huggingface.co/datasets/open-index/arctic/discussions).
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*Last updated: 2026-04-08 03:
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The full Reddit archive from [Arctic Shift](https://github.com/ArthurHeitmann/arctic_shift), converted to Parquet and hosted here for easy access. Covers every public subreddit from **2005-12** through **2026-02**.
|
| 55 |
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| 56 |
+
Right now the archive has **5.7B items** (4.1B comments, 1.6B submissions) in **550.5 GB** of compressed Parquet. Comments and submissions are stored as separate datasets, split into monthly shards you can load individually or stream together.
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Reddit has been around since 2005. Millions of people use it to talk about everything - programming, sports, cooking, politics, niche hobbies. That makes it one of the best sources of natural conversation data for language model training, sentiment analysis, community research, and information retrieval. Most Reddit datasets only cover specific subreddits or time windows. This one covers all of it.
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| 118 |
2015 ████░░░░░░░░░░░░░░░░░░░░░░░░░░ 70.5M
|
| 119 |
2016 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 90.6M
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| 120 |
2017 ███████░░░░░░░░░░░░░░░░░░░░░░░ 117.2M
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| 121 |
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2018 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 33.9M
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2019 █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 21.2M
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| 123 |
2023 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 39.2M
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2024 ████████████████████████████░░ 477.4M
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| Type | Months | Rows | Parquet Size |
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|------|-------:|-----:|-------------:|
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| comments | 148 | 4.1B | 352.2 GB |
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| submissions | 176 | 1.6B | 198.4 GB |
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| **Total** | **148** | **5.7B** | **550.5 GB** |
|
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### Monthly breakdown
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| 243 |
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<details>
|
| 245 |
+
<summary>Click to expand full monthly table (148 comment months + 176 submission months)</summary>
|
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|
| 247 |
| Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
|
| 248 |
|-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
|
|
|
|
| 541 |
| 2018-02 | comments | - | 22m55s | 242m13s | 10m17s | 173 | 86,467,179 | 7.5 GB |
|
| 542 |
| 2018-02 | submissions | - | 26m28s | 90m53s | 2m06s | 22 | 10,567,231 | 1.3 GB |
|
| 543 |
| 2018-03 | comments | - | 28m00s | 326m21s | 12m56s | 193 | 96,490,262 | 8.3 GB |
|
| 544 |
+
| 2018-03 | submissions | - | 7m16s | 114m11s | - | 25 | 12,022,694 | 1.5 GB |
|
| 545 |
| 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
|
| 546 |
| 2023-12 | submissions | 15.2 GB | 30m19s | 76m33s | 26m24s | 79 | 39,245,797 | 4.4 GB |
|
| 547 |
| 2024-01 | submissions | 16.1 GB | 183m48s | 126m12s | 21m25s | 83 | 41,263,034 | 4.7 GB |
|
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| 601 |
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| 602 |
> Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 192 GB free). Auto-updated every ~5 minutes.
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| 604 |
+
**Started:** 2026-04-05 20:37 UTC / **Elapsed:** 54h 47m / **Committed this session:** 14
|
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### Active Workers
|
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| Stage | Month | Type | Progress |
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| 609 |
|-------|-------|------|----------|
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| 610 |
+
| Downloading | 2018-05 | submissions | 595.0 MB / 2.9 GB (19%) |
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| 611 |
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| Processing | 2018-04 | comments | shard 5 · 2.5M rows · 126.9K rows/s |
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| Uploading | 2018-03 | submissions | 25 shards · 12.0M rows · committing |
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### Throughput
|
|
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| Metric | Value |
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| 618 |
|--------|------:|
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| 619 |
| Download | 33 Mbps avg |
|
| 620 |
+
| Processing | 4.7K rows/s avg |
|
| 621 |
| Upload | 425.7s per commit avg |
|
| 622 |
+
| ETA | 2026-05-05 08:26 UTC |
|
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### Progress
|
| 625 |
|
|
|
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| Rows processed | 760.7M |
|
| 632 |
| Data committed | 67.7 GB |
|
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| 634 |
+
*Last update: 2026-04-08 03:24 UTC*
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# Dataset card for Arctic Shift Reddit Archive
|
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Questions, feedback, or issues - open a discussion on the [Community tab](https://huggingface.co/datasets/open-index/arctic/discussions).
|
| 817 |
|
| 818 |
+
*Last updated: 2026-04-08 03:24 UTC*
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data/submissions/2018/03/020.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8557c5f8bb1e6b2691fff861ebc86f59e3cb4dbf868f69ab68cc465363d31d2
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size 65676695
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data/submissions/2018/03/021.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:35ca57068b8722f602143b14072be44f1ae9554b221e41db9e87354ef28bd911
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size 66502065
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data/submissions/2018/03/022.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd49fb328847c8334fdf1ddce9504bdef442a86ef8e15b7853e28df9f5ef2d90
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size 66978040
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data/submissions/2018/03/023.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:57e4437f9ce8b3253c72f59102f4015587e4fce7d48fc99fb1d621f13762822a
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size 64456888
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data/submissions/2018/03/024.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2723ce03b523b1e767ec718ab1aa43c64cbcf4764424d486608a4a8461a6074f
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size 2993553
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states.json
CHANGED
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@@ -1,14 +1,12 @@
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{
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"session_id": "2026-04-05T20:37:29Z",
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"started_at": "2026-04-05T20:37:29.276842745Z",
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-
"updated_at": "2026-04-08T03:
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"phase": "running",
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"current": {
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"ym": "2018-03",
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"type": "submissions",
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"phase": "
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"shard": 6,
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"rows": 3000000
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},
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"hardware": {
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"hostname": "doge-01",
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"sequential": false
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},
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"pipeline": {
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-
"downloading":
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"processing": [
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{
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"ym": "2018-03",
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"type": "submissions",
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-
"
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-
"
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-
"
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-
"phase": "processing"
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}
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],
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-
"uploading": null,
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"queued_for_process": 0,
|
| 46 |
"queued_for_upload": 0
|
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},
|
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"throughput": {
|
| 49 |
"avg_download_mbps": 33.29236184482034,
|
| 50 |
-
"avg_process_rows_per_sec":
|
| 51 |
"avg_upload_sec_per_commit": 425.6953926964287,
|
| 52 |
-
"estimated_completion": "2026-05-
|
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},
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"stats": {
|
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"committed": 14,
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|
| 1 |
{
|
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"session_id": "2026-04-05T20:37:29Z",
|
| 3 |
"started_at": "2026-04-05T20:37:29.276842745Z",
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| 4 |
+
"updated_at": "2026-04-08T03:24:28.59048663Z",
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"phase": "running",
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"current": {
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"ym": "2018-03",
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"type": "submissions",
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"phase": "committing"
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},
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"hardware": {
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"hostname": "doge-01",
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"sequential": false
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},
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"pipeline": {
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+
"downloading": [
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| 32 |
+
{
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+
"ym": "2018-05",
|
| 34 |
+
"type": "submissions",
|
| 35 |
+
"bytes_done": 623867004,
|
| 36 |
+
"bytes_total": 3137622254,
|
| 37 |
+
"phase": "downloading"
|
| 38 |
+
}
|
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],
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"processing": [
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{
|
| 42 |
+
"ym": "2018-04",
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"type": "comments",
|
| 44 |
+
"shard": 5,
|
| 45 |
+
"rows": 2500000,
|
| 46 |
+
"rows_per_sec": 126944.59332661505,
|
| 47 |
+
"phase": "processing"
|
| 48 |
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}
|
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],
|
| 50 |
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"uploading": [
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{
|
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"ym": "2018-03",
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"type": "submissions",
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"rows": 12022694,
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"shards": 25,
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"phase": "committing"
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}
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],
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"queued_for_process": 0,
|
| 60 |
"queued_for_upload": 0
|
| 61 |
},
|
| 62 |
"throughput": {
|
| 63 |
"avg_download_mbps": 33.29236184482034,
|
| 64 |
+
"avg_process_rows_per_sec": 4697.958499072947,
|
| 65 |
"avg_upload_sec_per_commit": 425.6953926964287,
|
| 66 |
+
"estimated_completion": "2026-05-05T16:26:31.243973233+08:00"
|
| 67 |
},
|
| 68 |
"stats": {
|
| 69 |
"committed": 14,
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stats.csv
CHANGED
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@@ -293,7 +293,8 @@ year,month,type,shards,count,size_bytes,zst_bytes,dur_download_s,dur_process_s,d
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2018,1,submissions,23,11306843,1486493503,2605287865,536.02,5688.66,194.12,2026-03-20T23:42:25Z
|
| 294 |
2018,2,comments,173,86467179,8012325760,0,1375.11,14533.21,616.77,2026-04-07T12:41:40Z
|
| 295 |
2018,2,submissions,22,10567231,1376924873,0,1588.30,5453.43,125.65,2026-04-07T14:12:33Z
|
| 296 |
-
2018,3,comments,193,96490262,8858678614,0,1680.36,19581.31,
|
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|
|
| 297 |
2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
|
| 298 |
2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
|
| 299 |
2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
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|
|
| 293 |
2018,1,submissions,23,11306843,1486493503,2605287865,536.02,5688.66,194.12,2026-03-20T23:42:25Z
|
| 294 |
2018,2,comments,173,86467179,8012325760,0,1375.11,14533.21,616.77,2026-04-07T12:41:40Z
|
| 295 |
2018,2,submissions,22,10567231,1376924873,0,1588.30,5453.43,125.65,2026-04-07T14:12:33Z
|
| 296 |
+
2018,3,comments,193,96490262,8858678614,0,1680.36,19581.31,775.72,2026-04-08T01:28:11Z
|
| 297 |
+
2018,3,submissions,25,12022694,1563790467,0,436.50,6851.26,0.00,2026-04-08T03:22:23Z
|
| 298 |
2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
|
| 299 |
2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
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2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
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