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diff --git a/chapter/8/big-data.md b/chapter/8/big-data.md index cc11e28..1ca16aa 100644 --- a/chapter/8/big-data.md +++ b/chapter/8/big-data.md @@ -97,7 +97,9 @@ The properties that power RDD with the above mentioned features : - A compute function to do a computation on partitions. - Optionally, a Partitioner for key-value RDDs (e.g. to say that the RDD is hash-partitioned) - Optional preferred locations (aka locality info), (e.g. block locations for an HDFS file) - +<figure class="main-container"> + <img src="./spark_pipeline.png" alt="MapReduce Execution Overview" /> +</figure> Spark API provide two kinds of operations on a RDD: Transformations - lazy operations that return another RDD. `map (f : T => U) : RDD[T] ⇒ RDD[U]` : Return a MappedRDD[U] by applying function f to each element |