[Spark] [Python] What is the collect effect of the RDD?

[Continuation of the Spark][python]sortbykey example

What is the Collect () effect of the RDD?

The continuation of the [Spark][python]sortbykey example]

In []: Mydata004.collect ()

OUT[20]:
[[u ' 00001 ', U ' sku933 '],
[u ' 00001 ', U ' sku022 '],
[u ' 00001 ', U ' sku912 '],
[u ' 00001 ', U ' sku331 '],
[u ' 00002 ', U ' sku010 '],
[u ' 00003 ', U ' sku888 '],
[u ' 00004 ', U ' sku411 ']

In []: Mydata004.count ()
OUT[22]: 7

In [All]: Mydata005.count ()
---------------------------------------------------------------------------
TypeError Traceback (most recent)
<ipython-input-23-c1554a7ccdd7> in <module> ()
----> 1 Mydata005.count ()

Typeerror:count () takes exactly one argument (0 given)

In []: type (mydata005)
OUT[24]: List

in [+]: type (mydata004)
OUT[25]: Pyspark.rdd.PipelinedRDD

By comparison, mydata005 is a list.
This means that collect will return a list.

If you run <rdd>.collect in an interactive environment, the contents of all elements of this RDD are displayed.

[Spark] [Python] What is the collect effect of the RDD?