spirs-zidan: Pipes Blog (2 сообщения)

среда, 4 февраля 2009 г.

Pipes Blog (2 сообщения)

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Pipes Blog
The latest news about Pipes
http://blog.pipes.yahoo.net
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Feedburner and Pipes
Unfortunately as some of you have experienced, Pipes RSS feeds have been returning a "999" error when running them through Feedburner.

As we posted on our message boards last week, we've tracked the issue down to Feedburner's recent migration onto Google's platforms (more details can be found on Feedburners status blog http://feedburnerstatus.blogspot.com/). During this migration, the IPs used by Feedburners to access feeds have changed and we were not made aware of this change before it happened. As a result, Pipes has been blocking some of their new IP's that came online. We have since added those IP's to our whitelist and we are in the process of unblocking them.

For now, If you do run your Pipes RSS through Feedburner please hold off on doing so until the IP whitelist propagates.

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New Pipes YQL module and changes to "Use this Pipe" banner
We just added a new source module: YQL.

YQL complements Pipes by allowing you to fetch, aggregate and mash up data from many sources using a SQL-like SELECT syntax. To find out more about YQL click here.

To use YQL, simply enter a YQL statement (select * from feed where url='http://digg.com/rss/index.xml') into the textarea. To drill down further into the result set you can use either the Pipes Sub-element module or by using projection in a YQL statement. For example: select title from feed where url='http://digg.com/rss/index.xml' returns only the titles from the Digg RSS feed. Here is an example Pipe using YQL as a source.

The YQL module has 2 output modes: Results only or Diagnostics and results. Diagnostics provides additional data such as: count, language type and more.

You can test your query in the YQL console by clicking on the "Try in the console" link. The YQL console provides sample queries and shows what data tables are available to query against.

Here are some interesting queries to get you started:
- Fetch two rss feeds, Digg and Mixx and sort them by pubDate
  select * from rss where url in ('http://digg.com/rss/index.xml','http://feeds.mixx.com/MixxPopular') | sort(field="pubDate")
- Find Flickr photos that are tagged "fog" and are in San Francisco
  select * from flickr.photos.info where photo_id in (select id from flickr.photos.search where woe_id in (select woeid from geo.places where text="san francisco, ca") and tags = "fog")
We also listened to your suggestions and made it easier to access your Pipes RSS/JSON urls by putting it on the main Use this Pipe banner menu. It should speed up access to these widely used formats.

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