1
0
mirror of https://github.com/sasjs/adapter.git synced 2025-12-11 09:24:35 +00:00

Update README.md

This commit is contained in:
Allan Bowe
2021-06-22 18:53:12 +03:00
committed by GitHub
parent d53d1e1e6a
commit 291e23e40a

View File

@@ -172,14 +172,14 @@ Configuration on the client side involves passing an object on startup, which ca
* `serverType` - either `SAS9` or `SASVIYA`.
* `serverUrl` - the location (including http protocol and port) of the SAS Server. Can be omitted, eg if serving directly from the SAS Web Server, or in streaming mode.
* `debug` - if `true` then SAS Logs and extra debug information is returned.
* `useComputeApi` - Only relevant when the serverType is `SASVIYA`. If `true` the [Compute API](https://github.com/sasjs/adapter#using-the-compute-api) is used. If `false` the [JES API](https://github.com/sasjs/adapter#using-the-jes-api) is used. If `null` or `undefined` the [Web](https://github.com/sasjs/adapter#using-jes-web-app) approach is used.
* `contextName` - Context on which the reqeusts will be called.
* `useComputeApi` - Only relevant when the serverType is `SASVIYA`. If `true` the [Compute API](#using-the-compute-api) is used. If `false` the [JES API](#using-the-jes-api) is used. If `null` or `undefined` the [Web](#using-jes-web-app) approach is used.
* `contextName` - Compute context on which the requests will be called. If missing or not provided, defaults to `Job Execution Compute context`.
The adapter supports a number of approaches for interfacing with Viya (`serverType` is `SASVIYA`). For maximum performance, be sure to [configure your compute context](https://sasjs.io/guide-viya/#shared-account-and-server-re-use) with `reuseServerProcesses` as `true` and a system account in `runServerAs`. This functionality is available since Viya 3.5. This configuration is supported when [creating contexts using the CLI](https://sasjs.io/sasjs-cli-context/#sasjs-context-create).
### Using JES Web App
In this setup, all requests are routed through the JES web app, at `YOURSERVER/SASJobExecution`. This is the most reliable method, and also the slowest. One request is made to the JES app, and remaining requests (getting job uri, session spawning, passing parameters, running the program, fetching the log) are made on the SAS server by the JES app.
In this setup, all requests are routed through the JES web app, at `YOURSERVER/SASJobExecution?_program=/your/program`. This is the most reliable method, and also the slowest. One request is made to the JES app, and remaining requests (getting job uri, session spawning, passing parameters, running the program, fetching the log) are handled by the SAS server inside the JES app.
```
{
@@ -190,7 +190,7 @@ In this setup, all requests are routed through the JES web app, at `YOURSERVER/S
```
### Using the JES API
Here we are running Jobs using the Job Execution Service except this time we are making the requests directly using the REST API instead of through the JES Web App. This is helpful when we need to call web services outside of a browser (eg with the SASjs CLI or other commandline tools). To save one network request, the adapter prefetches the JOB URIs and passes them in the `__job` parameter.
Here we are running Jobs using the Job Execution Service except this time we are making the requests directly using the REST API instead of through the JES Web App. This is helpful when we need to call web services outside of a browser (eg with the SASjs CLI or other commandline tools). To save one network request, the adapter prefetches the JOB URIs and passes them in the `__job` parameter. Depending on your network bandwidth, it may or may not be faster than the JES Web approach.
```
{
@@ -202,7 +202,7 @@ Here we are running Jobs using the Job Execution Service except this time we are
```
### Using the Compute API
This approach is by far the fastest, as a result of the optimisations we have built into the adapter. With this configuration, in the first sasjs request, we take a URI map of the services in the target folder, and create a session manager - which spawns an extra session. The next time a request is made, the adapter will use the 'hot' session. Sessions are deleted after every use, which actually makes this _less_ resource intensive than a typical JES web app, in which all sessions are kept alive by default for 15 minutes.
This approach is by far the fastest, as a result of the optimisations we have built into the adapter. With this configuration, in the first sasjs request, we take a URI map of the services in the target folder, and create a session manager. This manager will spawn a additional session every time a request is made. Subsequent requests will use the existing 'hot' session, if it exists. Sessions are always deleted after every use, which actually makes this _less_ resource intensive than a typical JES web app, in which all sessions are kept alive by default for 15 minutes.
```
{
@@ -227,4 +227,4 @@ If you are a SAS 9 or SAS Viya customer you can also request a copy of [Data Con
If you find this library useful, help us grow our star graph!
![](https://starchart.cc/sasjs/adapter.svg)
![](https://starchart.cc/sasjs/adapter.svg)