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8 moment read through Stick to this easy example to get started examining genuine-globe details with Apache Pig and Hadoop. iOS6 desk views and accessory segues
Possibly download a launch or create a distribution zip as outlined higher than. Unzip the archive to some wished-for spot.
I’m assuming that you will be functioning the next actions using the Cloudera VM, logged in given that the cloudera consumer. If your set up differs, alter accordingly.
There’s a lot more details during the established over and above a long time and publications counts. What if we wanted to see books posted per annum by writer? Why don’t we go a action farther and group These outcomes by publisher also?
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You’ll see a listing of years, together with the variety of textbooks for that 12 months. You could possibly discover that a few of the values don’t make A great deal feeling; there must be no year 0, nor should there be entries for just a blank calendar year. We’ll clear Those people complications up in the subsequent Examination.
1st, we use a projection to extract just the publisher and writer from the books assortment. This is a encouraged apply as it can help with efficiency.
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This is the meat of the operation. The FOREACH loops more than the groupByYear collection, and we Deliver values. Our output is described applying some values accessible to us inside the FOREACH. We very first get group, which is an alias with the grouping benefit and say to position it inside our new selection as an product named YearOfPublication.
The AS clause defines how the fields inside the file are mapped into Pig data varieties. You’ll see that we still left off all the “Graphic-URL-XXX” fields; we don’t want them for Assessment, and Pig will dismiss fields that we don’t convey to it to load.
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Docset creation involves at minimum two alternatives: the title of your docset and the location in the Javadoc documents to incorporate in the docset.
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