(doc) Update Crawling Docs
Still a WIP, but now more accurately reflects the new GUI, with screenshots to boot!
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@ -51,9 +51,13 @@ Go to `Nodes->Node 1->Actions->New Crawl`
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Click the link that says 'New Spec' to arrive at a form for creating a new specification:
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Fill out the form with a description and a link to the domain list.
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![img](images/new_spec.png)
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## Crawling
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Fill out the form with a description and a link to a domain list. The domain list is a text file
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with one domain per line, with blank lines and comments starting with `#` ignored. You can use
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github raw links for this purpose. For test purposes, you can use this link:
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`https://downloads.marginalia.nu/domain-list-test.txt`, which will create a crawl for a few
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of marignalia.nu's subdomains.
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If you aren't redirected there automatically, go back to the `New Crawl` page under Node 1 -> Actions.
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Your new specification should now be listed.
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@ -79,35 +83,35 @@ from stalling the crawl indefinitely.
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## Converting
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Once the crawl is finished, you can convert and load the data to a format that can be loaded into the database.
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Once the crawl is done, the data needs to be processed before its searchable. This is done by going to
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`Nodes->Node 1->Actions->Process Crawl Data`.
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First you'll want to go to Storage -> Crawl Data, and toggle the `State` field next to your new crawl
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data into `Active`. This will mark it as eligible for processing.
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[screenshot here]
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Next, go to Actions -> Process Crawl Data, and click `[Trigger Reprocessing]`. Ensure your crawl data
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is visible in the list. This will start the automatic conversion and loading process, which can be followed
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in the `Overview` view.
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This will start the conversion process. This will again take a while, depending on the size of the crawl.
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The process bar will show the progress. When it reaches 100%, the conversion is done, and the data will begin
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loading automatically. A cascade of actions is performed in sequence, leading to the data being loaded into the
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search engine and an index being constructed. This is all automatic, but depending on the size of the crawl data,
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may take a while.
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This process will take a while, and will run these discrete steps:
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When an event `INDEX-SWITCH-OK` is logged in the `Event Summary` table, the data is ready to be searched.
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* CONVERT the crawl data into a format that can be loaded into the database
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* LOAD, load posts into the mariadb database, construct an index journal and sqlite linkdb
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* Delete the processed data (optional; depending on node configuration)
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* Create a backup of the index journal to be loaded (can be restored later)
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* Repartition and create new domain rankings
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* Construct a new index
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* * Forward
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* * Full
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* * Priority
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* Switch to the new index
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All of this is automatic and most of it is visible in the `Overview` view.
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## Recrawling (IMPORTANT)
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## Re-crawling
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The work flow with a crawl spec was a one-off process to bootstrap the search engine. To keep the search engine up to date,
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it is preferable to do a recrawl. This will try to reduce the amount of data that needs to be fetched.
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To trigger a Recrawl, ensure your crawl data is set to active, and then go to Actions -> Trigger Recrawl,
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and click `[Trigger Recrawl]`. This will behave much like the old crawling step. Once done, it needs to be
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processed like the old crawl data.
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To trigger a Recrawl, go to `Nodes->Node 1->Actions->Re-crawl`. This will bring you to a page that looks similar to the
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first crawl page, where you can select a set of crawl data to use as a source. Select the crawl data you want, and
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press `[Trigger Recrawl]`.
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Crawling will proceed as before, but this time, the crawler will try to fetch only the data that has changed since the
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last crawl, increasing the number of documents by a percentage. This will typically be much faster than the initial crawl.
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### Growing the crawl set
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The re-crawl will also pull new domains from the `New Domains` dataset, which is an URL configurable in
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`[Top Menu] -> System -> Data Sets`. If a new domain is found, it will be assigned to the present node, and crawled in
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the re-crawl.
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![Datasets screenshot](images/datasets.png)
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