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Actions three and four may search strange, but many of the subject material may well contain semicolons. In cases like this, They are going to be transformed to $$$, but they will not match the "$$$" pattern, and won't be converted back into semicolons and mess up the import method.
Either down load a release or create a distribution zip as outlined over. Unzip the archive into a ideal locale.
I’m assuming that you'll be functioning the subsequent methods utilizing the Cloudera VM, logged in because the cloudera consumer. When your set up is different, change appropriately.
There’s lots additional information in the established past decades and guides counts. Let's say we desired to see guides published per annum by writer? Why don’t we go a move farther and team Those people success by publisher at the same time?
Notice which i’ve inlined the group development during the FOREACH statement. It ought to be apparent that we’re grouping textbooks by author. This statement also introduces the FLATTEN operation. We are aware that the Team operation generates a group the place Each and every vital corresponds to a list of values; FLATTEN “flattens” this listing to make entries for every checklist value.
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This is the meat from the operation. The FOREACH loops above the groupByYear selection, and we Deliver values. Our output is described applying some values available to us inside the FOREACH. We initial choose group, which is an alias with the grouping value and say to place it within our new collection as an product named YearOfPublication.
The AS clause defines how the fields during the file are mapped into Pig facts sorts. You’ll discover that we left off the entire “Impression-URL-XXX” fields; we don’t want them for analysis, and Pig will overlook fields that we don’t notify it to load.
I’m assuming that you'll be working the subsequent ways using the Cloudera VM, logged in because the cloudera user. If the setup differs, adjust appropriately.
You'll want to however have your books assortment described should you haven’t exited your Pig session. You may redefine it effortlessly by adhering to the above mentioned measures all over again. Let’s do a small amount of cleanup on the info this time, having said that.
Type head BX-Publications.csv to find out the primary several strains of the raw details. You’ll see that’s it’s probably not comma-delimited; the delimiter is ‘;‘. You can also find some escaped HTML entities we could clean up, and also the rates all around most of the values is usually eradicated.