🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 50 (from laksa118)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa050.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, meta_canonical AS meta_canonical, ml_categories_json AS ml_categories_json, ml_types_json AS ml_types_json, ml_intent_types_json AS ml_intent_types_json, meta_language AS meta_language, attrs_author AS attrs_author, ifNull(toUnixTimestamp(attrs_publish_time), 0) AS attrs_publish_time, ifNull(toUnixTimestamp(attrs_original_publish_time), 0) AS attrs_original_publish_time, ifNull(attrs_is_republished, 0) AS attrs_is_republished, ifNull(attrs_nr_words, 0) AS attrs_nr_words, ifNull(attrs_boilerpipe_nr_words, 0) AS attrs_boilerpipe_nr_words, ifNull(body_ext_links_number, 0) AS body_ext_links_number, ifNull(body_int_links_number, 0) AS body_int_links_number, ifNull(meta_nofollow, 0) AS meta_nofollow, ifNull(meta_noarchive, 0) AS meta_noarchive, ifNull(props_was_rendered, 0) AS props_was_rendered, ifNull(src_redirect, \'\') AS src_redirect, ifNull(download_time_msec, 0) AS download_time_msec, ifNull(download_ttfb_msec, 0) AS download_ttfb_msec, ifNull(download_size, 0) AS download_size FROM crawler3.page_info_local FINAL PREWHERE int_partition_id = 50 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://cloud.tencent.com/developer/article/1583185\')), getAhrefsUnparsedNoserviceFromURL(\'https://cloud.tencent.com/developer/article/1583185\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/cloud.tencent.com\/developer\/article\/1583185","crawl_time":1774892738,"first_indexed_time":1584044758,"http_code":200,"src_unparsed":"com,tencent!cloud,\/developer\/article\/1583185 s443","src_root_hash":"6417570461941030050","history_drop_reason":null,"meta_title":"Pytorch 分布式模式介绍-腾讯云开发者社区-腾讯云","meta_descriptions":["分布式训练是机器学习中提升训练效率的关键技术，主要分为数据并行和模型并行两种方式。数据并行通过多GPU同步训练不同数据批次实现加速，而模型并行则拆分模型到不同设备。PyTorch支持NCCL、Gloo等后端，提供torch.distributed.launch工具简化多节点部署。本文详细解析了分布式训练策略、系统架构及..."],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":960,\"\/Computers_and_Electronics\/Software\":791,\"\/Computers_and_Electronics\/Software\/Educational_Software\":385,\"\/Science\":118,\"\/Science\/Computer_Science\":118,\"\/Science\/Computer_Science\/Machine_Learning_and_Artificial_Intelligence\":116}","ml_types_json":"{\"\/Article\":997,\"\/Article\/Tutorial_or_Guide\":963}","ml_intent_types_json":"{\"Informational\":999}","meta_language":"zh","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1584044758,"attrs_is_republished":0,"attrs_nr_words":"4005","attrs_boilerpipe_nr_words":"3724","body_ext_links_number":5,"body_int_links_number":102,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":893,"download_ttfb_msec":578,"download_size":64697}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 50 · Partition 50

laksa050

6417570461941030050

📄

INDEXABLE

✅

CRAWLED

2 months ago

🤖

ROBOTS ALLOWED

Page Info Filters

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	2.2 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Page Details

Property

Value

URL

https://cloud.tencent.com/developer/article/1583185

Last Crawled

2026-03-30 17:45:38 (2 months ago)

First Indexed

2020-03-12 20:25:58 (6 years ago)

HTTP Status Code

200

Content

Meta Title

Pytorch 分布式模式介绍-腾讯云开发者社区-腾讯云

Meta Description

分布式训练是机器学习中提升训练效率的关键技术，主要分为数据并行和模型并行两种方式。数据并行通过多GPU同步训练不同数据批次实现加速，而模型并行则拆分模型到不同设备。PyTorch支持NCCL、Gloo等后端，提供torch.distributed.launch工具简化多节点部署。本文详细解析了分布式训练策略、系统架构及...

Meta Canonical

null

Boilerpipe Text

heavy column, fetched on demand

Markdown

heavy column, fetched on demand

Readable Markdown

heavy column, fetched on demand

ML Classification

ML Categories

/Computers_and_Electronics		96.0%
/Computers_and_Electronics/Software		79.1%
/Computers_and_Electronics/Software/Educational_Software		38.5%
/Science		11.8%
/Science/Computer_Science		11.8%
/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence		11.6%

Raw JSON

{
    "/Computers_and_Electronics": 960,
    "/Computers_and_Electronics/Software": 791,
    "/Computers_and_Electronics/Software/Educational_Software": 385,
    "/Science": 118,
    "/Science/Computer_Science": 118,
    "/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence": 116
}

ML Page Types

/Article		99.7%
/Article/Tutorial_or_Guide		96.3%

Raw JSON

{
    "/Article": 997,
    "/Article/Tutorial_or_Guide": 963
}

ML Intent Types

Informational

99.9%

Raw JSON

{
    "Informational": 999
}

Content Metadata

Language

Author

null

Publish Time

not set

Original Publish Time

2020-03-12 20:25:58 (6 years ago)

Republished

Word Count (Total)

4,005

Word Count (Content)

3,724

Links

External Links

Internal Links

102

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

893

TTFB (ms)

578

Download Size (bytes)

64,697

Location

Host ID

50 (laksa050)

Partition ID

Root Hash

6417570461941030050

Unparsed URL

com,tencent!cloud,/developer/article/1583185 s443