Getting Started w/ Python, Spark, and Databricks: Difference between revisions
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<pre>df = spark.read.parquet ( "/mnt/training/cimr-data-2016/Crime-Data-Boston-2016.parquet" )</pre> | <pre>df = spark.read.parquet ( "/mnt/training/cimr-data-2016/Crime-Data-Boston-2016.parquet" )</pre> | ||
== Viewing Results == | |||
=== Text Based (Generic) === | |||
<pre>show(df)</pre> | |||
=== Databricks Native Viewer === | |||
<pre>display(df)</pre> | |||
== Manipulating Dataframes == | |||
=== Select === | |||
<pre>df.select("*","firstName","last_name")</pre> | |||
=== Filter === | |||
<pre>df.select("*").filter("firstName='Brian'").filter('lastName='Popp')</pre> | |||
== Combining Dataframes == | |||
=== Union === | |||
<pre>homicidesBostonDF = homicidesNewYorkDF.union ( homicidesBostonDF )</pre> | |||
Latest revision as of 19:23, 2 August 2019
Loading Data
Viewing Contents of a Parquet Folder
%fs ls /mnt/training/crime-data-20016
Reading Parquet
df = spark.read.parquet ( "/mnt/training/cimr-data-2016/Crime-Data-Boston-2016.parquet" )
Viewing Results
Text Based (Generic)
show(df)
Databricks Native Viewer
display(df)
Manipulating Dataframes
Select
df.select("*","firstName","last_name")
Filter
df.select("*").filter("firstName='Brian'").filter('lastName='Popp')
Combining Dataframes
Union
homicidesBostonDF = homicidesNewYorkDF.union ( homicidesBostonDF )