achadoop

Hadoop Null Values
put bgint=; put ts=; put d=; put t=; put string_col=;
run;
bgint=1234567890123456789
ts=25FEB2012:02:00:55.141000
d=25FEB2012
t=2:00:55.141000
string_col=hello
Sample Code for Hadoop
Code Snippets
Hadoop has a special value called NULL. A Hadoop NULL value means an absence of
information and is analogous to a SAS missing value. When SAS/ACCESS reads a
Hadoop NULL value, it interprets it as a SAS missing value. For more information about
how SAS handles NULL values, see “Potential Result Set Differences When Processing
Null Data” in SAS/ACCESS for Relational Databases: Reference.
The code snippets in this section resemble those for most other SAS/ACCESS interfaces.
This snippet shows a list of available Hive tables.
proc datasets lib=hdp; quit;
Here is the metadata for the mytab Hive table.
proc contents data=hdp.mytab; quit;
This snippet extracts mytab data into SAS.
data work.a;
set hdp.mytab;
run;
This extracts a subset of the mytab rows and columns into SAS. Subsetting the rows
(with a WHERE statement, for example) can help avoid extracting too much data into
SAS.
data work.a;
set hdp.mytab (keep=col1 col2);
where col2=10;
run;
Use DBSASTYPE= to Load Hadoop Data into SAS
This example uses the DBSASTYPE= option (see SAS/ACCESS for Relational
Databases: Reference) to load Hadoop textual dates, timestamps, and times into the
corresponding SAS DATE, DATETIME, and TIME formats. The first step reads in a
SAS character string to display the data and make clear what occurs in successive steps.
data; set hdp.testHiveDate; put dt; run;
Sample Code for Hadoop 19