GabrielaJS 270004FR6S Visits (3540)
When processing data, it is common to perform data enrichment. Enrichment is useful when the data source contains only partial information, but the analytics require additional information that is available only in other data sources. The InfoSphere Streams database toolkit contains two enrichment operators: ODBCEnrich and SolidDBEnrich. These operators require the data used for enrichment to be in a database.
In this post, we illustrate how to develop an SPL composite that serves as a generic file-based enricher. In this solution, we use a FileSource to scan the enrichment data from a file, and then store it in an in-memory map in a Custom operator. This map is keyed by the attributes used to correlate incoming tuples with the enrichment data. If the enrichment data fully fits in memory, this solution can be more efficient than querying the database every time a tuple must be enriched.
The code below shows a sample invocation of the file-based enricher (operator FileEnrich). In this example, the program generates a stream called Data, which has attributes id and city. Data is then consumed by FileEnrich, which outputs an enriched stream using the id attribute as a key. The output stream contains both Data attributes (id and city) and EnrichT attributes (id and name). Note that because EnrichT and Data share the id attribute, id appears only once in the EnrichedData stream. The FileEnrich operator receives the following parameters:
We now show the code for the generic FileEnrich composite operator. This composite is developed using 2 primitive operators and 1 Custom operator. The first operator is a FileSource (line 11). The FileSource uses the enrichmentFile parameter and produces a stream of type enrichmentType. Using a parameter to establish the type of the FileSource output stream gives users the option to use a CSV file with any set of attributes. The second operator is a Switch (line 16), which serves exclusively to control when the input stream (In) can start flowing into the downstream operator. By default, this operator has an initial status of false (i.e., blocking tuples). The status parameter indicates the action taken once a tuple arrives in the second input stream. In this case, a true value indicates that the switch will open when a tuple arrives. The third operator (lines 21-22), implemented as a Custom, is the one responsible for doing the data enrichment itself.
The Custom operator has two phases of execution. First, it builds a map based on EnrichmentData, the stream generated by the FileSource. To create this map, this operator uses the enrichmentKeyType and the enrichmentType itself (line 25). To populate the map, the operator uses the function getT
The C++ code below shows the implementation of this function. This function returns an error flag in two cases: (i) if the attribute provided as a string does not exist, and (ii) if the attribute type does not match the type of value.
The second stage of execution happens after the stream produced by the FileSource is fully processed, which is indicated by a final punctuation. At this point, the Custom operator notifies the Switch (line 38), and the data enrichment process starts. For enrichment, the Custom operator merges the attributes of Data and EnrichmentData using the assignFrom function (lines 45-46). This function assigns all matching fields from one tuple to the other, so be careful when naming the attributes of the enrichment type. If attribute names overlap, the last assigned value will prevail, which in this case is the value available in the enrichment tuple (line 46).
In summary, the FileEnrich composite has three characteristics that make it generic:
Thanks to Bugra Gedik for this example!
scott.a.s 2700060BQD Visits (3043)
In a previous post, we discussed composites and the kinds of genericity they can have. A kind of genericity we did not cover is operator genericity, which is when at least one operator in a composite's stream graph is passed in as a parameter.
Building on the example code from composite genericity, suppose we have the following application:
The purpose of this application is to find "suspect" remote hosts in a log file, where we define a suspect as any remote host from which 10 or more failed login attempts have originated. The steps the application takes to do this are:
One problem with our application as it is written is that it assumes the source and the sink will always be on the filesystem. It's easy to imagine wanting to perform this operation on data sources that come from the network, and wanting to report the results over the network. However, we don't want to write another version of this composite that just has a different source and sink.
The solution to our problem is operator parameters:
Now, the FindSuspects composite is operator generic in its source and sink. However, we have one problem: most source and sink adapters require parameters to configure where they should send or receive data from. There is no way to make these parameters fully generic. Of course, if we have, say, a file name parameter, we can always parameterize the value to that parameter. But we cannot parameterize the parameter itself.
Wrapping operator invocations in a composite solves this problem. Given the above definition of FindSuspects, we could invoke it with:
The composite Find
When FindSuspectsFromTCP is used as the main composite for an application,
then it retrieves log data from logs.company.com on port 514, and sends
suspects to susp