Shulou(Shulou.com)05/31 Report--

This article mainly explains "what is the construction method of delta lake data lake". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what is the method of building a delta lake data lake?"

The implementation technology of data lake is especially led by delta lake of databricks company. Delta lake itself is just a set of api functions that define how data is stored, but when combined with hadoop and spark, it produces great power.

Data needs to be solved in two aspects: one is storage, the other is definition. Delta lake supports both, saving the storage and definition in a file and unifying it.

Delta lake is also very simple to process data. Plan the hdfs path for storage, define the data source, and then write spark scripts to generate delta lake.

The migration of delta lake is also very simple, as long as you transfer the files.

Loading delta lake in hive is also simple:

-Create table in the metastoreCREATE TABLE events (date DATE, eventId STRING, eventType STRING, data STRING) USING DELTAPARTITIONED BY (date) LOCATION'/ delta/events'

It's time to hug spark+delta lake.

At this point, I believe that everyone on the "delta lake data lake construction method is what" have a deeper understanding, might as well to practical operation of it! Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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