ODPS Next Map/reduce Ready

Ali received a call to say practice and match intelligence two choose one, really sad, exercise before the right to active aging.

To summarize ODPs next write map/reduce and make a purchase forecast process.

First of all, the Hadoop input and output is in the form of a table, we need an input table and an output table.

Input table for the supplied T_alibaba_bigdata_user_brand_total_1 output table for your own defined Wc_out

Wc_out need to be defined beforehand. The function of the following instance is to merge the user's actions on the item and record the number of repetitions, creating the Wc_out table structure as:

CREATE TABLE Wc_out (user_id string,brand_id string,type string,visit_datetime string,count bigint);

The Map/recduce program is then written in Eclipse.

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Export project as a jar file. Slightly

Create a resource in ODPs and execute

Execution complete

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The next step is to design more complex models for bank predictions.

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ODPS Next Map/reduce Ready