addNode Adds a machine to the server
1 removeNode Remove one or more machines from the...
2 help Shows the parameters for an action o...
3 listNodes Shows the host names used by the server
4 loadActionSet Loads an action set for use in this ...
5 installActionSet Loads an action set in new sessions ...
6 log Shows and modifies logging levels
7 queryActionSet Shows whether an action set is loaded
8 queryName Checks whether a name is an action o...
9 reflect Shows detailed parameter information...
10 serverStatus Shows the status of the server
11 about Shows the status of the server
12 shutdown Shuts down the server
13 userInfo Shows the user information for your ...
14 actionSetInfo Shows the build information from loa...
15 history Shows the actions that were run in t...
16 casCommon Provides parameters that are common ...
17 ping Sends a single request to the server...
18 echo Prints the supplied parameters to th...
19 modifyQueue Modifies the action response queue s...
20 getLicenseInfo Shows the license information for a ...
21 refreshLicense Refresh SAS license information from...
22 httpAddress Shows the HTTP address for the serve...
We can store this DataFrame in another variable to make it a bit easier to work with. Much like Pandas DataFrames, CASResults objects enable you to access keys as attributes (as long as the name of the key doesn’t collide with an existing attribute or method). This means that we can access the builtins key of the out variable in either of the following ways:
In [37]: blt = out['builtins']
In [38]: blt = out.builtins
Which syntax you use depends on personal preference. The dot syntax is a bit cleaner, but the bracketed syntax works regardless of the key value (including white space, or name collisions with existing attributes). Typically, you might use the attribute-style syntax in interactive programming, but the bracketed syntax is better for production code.
Now that we have a handle on the DataFrame, we can do typical DataFrame operations on it such as sorting and filtering. For example, to sort the builtins actions by the name column, you might do the following.
In [39]: blt.sort_values('name')
Out[39]:
name description
11 about Shows the status of the server
14 actionSetInfo Shows the build information from loa...
0 addNode Adds a machine to the server
16 casCommon Provides parameters that are common ...
18 echo Prints the supplied parameters to th...
20 getLicenseInfo Shows the license information for a ...
2 help Shows the parameters for an action o...
15 history Shows the actions that were run in t...
22 httpAddress Shows the HTTP address for the serve...
5 installActionSet Loads an action set in new sessions ...
3 listNodes Shows the host names used by the server
4 loadActionSet Loads an action set for use in this ...
6 log Shows and modifies logging levels
19 modifyQueue Modifies the action response queue s...
17 ping Sends a single request to the server...
7 queryActionSet Shows whether an action set is loaded
8 queryName Checks whether a name is an action o...
9 reflect Shows detailed parameter information...
21 refreshLicense Refresh SAS license information from...
1 removeNode Remove one or more machines from the...
10 serverStatus Shows the status of the server
12 shutdown Shuts down the server
13 userInfo Shows the user information for your ...
If we wanted to combine all of the output DataFrames into one DataFrame, we can use the concat function in the Pandas package. We use the values method of the CASResults object to get all of the values in the dictionary (which are DataFrames, in this case). Then we concatenate them using concat with the ignore_index=True option so that it creates a new unique index for each row.
In [40]: import pandas as pd
In [41]: pd.concat(out.values(), ignore_index=True)
Out[41]:
name description
0 assumeRole Assumes a role
1 dropRole Relinquishes a role
2 showRolesIn Shows the currently active role
3 showRolesAllowed Shows the roles that a user is a mem...
4 isInRole Shows whether a role is assu...
137 queryCaslib Checks whether a caslib exists
138 partition Partitions a table
139 recordCount Shows the number of rows in a Cloud ...
140 loadDataSource Loads one or more data source interf...
141 update Updates rows in a table
[142 rows x 2 columns]
In addition to result values, the CASResults object also contains information about the return status of the action. We look at that in the next section.
Checking the Return Status of CAS Actions
In a perfect world, we always get the parameters to CAS actions correct and the results that we want are always returned. However, in the real world, errors occur. There are several attributes on the CASResults object that can tell you the return status information of a CAS action. They are described in the following table:
| Attribute Name | Description |
| severity | An integer value that indicates the severity of the return status. A zero status means that the action ran without errors or warnings. A value of 1 means that warnings were generated. A value of 2 means that errors were generated. |
| reason | A string value that indicates the class of error that occurred. Reason codes are described in the “Details” section later in this chapter. |
| status | A text message that describes the error that occurred. |
| status_code | An encoded integer that contains information that can be used by Technical Support to help determine the cause of the error. |
In