Databases
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    <p>One Idea would be to use work queues (directories or DB), assuming you will be working out storage such that it meets your criteria for redundancy.</p> <p>\retrieve</p> <p>\retrieve\server1</p> <p>\retrieve\server...</p> <p>\retrieve\server10000</p> <p>\in-process</p> <p>\complete</p> <p>1.) All pages to be seeds will be hashed and be placed in the queue using the hash as a file root.</p> <p>2.) Before putting in the queue you check the complete and in-process queues to make sure you don't re-queue</p> <p>3.) Each server retrieves a random batch (1-N) files from the retrieve queue and attempts to move it to the private queue</p> <p>4.) Files that fail the rename process are assumed to have been “claimed” by another process</p> <p>5.) Files that can be moved are to be processed put a marker in in-process directory to prevent re-queuing.</p> <p>6.) Download the file and place it into the \Complete queue</p> <p>7.) Clean file out of the in-process and server directories</p> <p>8.) Every 1,000 runs check the oldest 10 in-process files by trying to move them from their server queues back into the general retrieve queue. This will help if a server hangs and also should load balance slow servers.</p> <p>For the Retrieve, in-process and complete servers most file systems hate millions of files in 1 directory, Divide storage into segments based on the characters of the hash \abc\def\123\ would be the directory for file abcdef123FFFFFF…. If you were scaling to billions of downloads. </p> <p>If you are using a mongo DB instead of a regular file store much of these problems would be avoided and you could benefit from the sharding etc…</p>
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    1. POArchitecture - How to efficiently crawl the web with 10,000 machine?
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    1. USBugMan
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Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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