This is a great deal just like a Java Map. The groupByYear collection contains all one of a kind 12 months values, in addition to a listing holding the total entry of each reserve that belongs to that calendar year.
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I’m assuming that you will be managing the following measures using the Cloudera VM, logged in given that the cloudera user. If the set up is different, adjust accordingly.
There’s a lot far more data from the set further than a long time and guides counts. Let's say we wanted to see guides revealed per year by writer? Why don’t we go a step farther and team These effects by publisher also?
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Initially, we use a projection to extract just the publisher and writer from your books collection. It is a suggested practice as it can help with efficiency.
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This can be the meat with the Procedure. The FOREACH loops about the groupByYear assortment, and we GENERATE values. Our output is defined utilizing some values available to us within the FOREACH. We initial consider group, which is an alias for your grouping worth and say to place it within our new assortment as an item named YearOfPublication.
The AS clause defines how the fields in the file are mapped into Pig details sorts. You’ll recognize that we left off most of the “Impression-URL-XXX” fields; we don’t require them for Assessment, and Pig will overlook fields that we don’t notify it to load.
I’m assuming that you will be managing the following techniques megatomi.com using the Cloudera VM, logged in as being the cloudera person. If the setup differs, modify appropriately.
Steps three and four could glimpse Odd, but a lot of the area information might consist of semicolons. In this case, They are going to be converted to $$$, but they won't match the "$$$" pattern, and will not be transformed back into semicolons and mess up the import course of action.
This is an easy getting going example that’s primarily based upon “Pig for novices”, with what I experience is a bit more helpful details.