[GIE Doc] Add examples to collect gremlin results in a streaming way (#…

…2842)

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## What do these changes do?
The official python gremlin client lacks guidelines about how to use
streaming apis, here give a java example instead. The python example
will be added later.

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## Related issue number

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Fixes

docs/interactive_engine/tinkerpop_eco.md

@@ -33,10 +33,54 @@ A simpler option is to use the `gremlin` object for submitting Gremlin queries t
  Gremlin-Python and will automatically acquire the endpoint.
 ````
 
+In large-scale data processing scenarios, streaming the returned data is often necessary to avoid Out of Memory (OOM) issues caused by handling a large volume of data, which provides benefits such as memory efficiency, continuous processing, incremental analysis, reduced latency, scalability, and resource optimization. It enables you to handle and analyze vast amounts of data effectively while mitigating the risk of memory-related issues. Here is an example to guide you how to collect results in a streaming way by python sdk.
+   ```Python
+   from queue import Queue
+   from gremlin_python.driver.client import Client
+
+   graph_url = # the GIE Frontend service endpoint you've obtained
+   client = Client(graph_url, "g")
+
+   ret = []
+   q = client.submit('g.V()')
+   while True:
+   try:
+      ret.extend(q.next())
+   except StopIteration:
+      break
+
+   print(ret)
+   ```
+Furthermore, here are some parameters that can be used to configure the streaming size on the server-side.
+```bash
+# interactive_engine/compiler/src/main/resources/conf/gremlin-server.yaml
+...
+# total num of streaming batch size returned by compiler service
+resultIterationBatchSize: 64
+...
+
+```
+
 ## Connecting Gremlin within Java
 See [Gremlin-Java](https://tinkerpop.apache.org/docs/current/reference/#gremlin-java) for connecting Gremlin
 within the Java language.
 
+Here is an example to guide you how to collect results in a streaming way by java sdk.
+```java
+Cluster cluster = Cluster.build()
+         .addContactPoint("localhost") // use your host ip
+         .port(8182) // use your port
+         .create();
+Client client = cluster.connect();
+ResultSet resultSet = client.submit("g.V()"); // use your query
+Iterator<Result> results = resultSet.iterator();
+while(results.hasNext()) {
+   display(results.next()); // display each result in your way
+}
+client.close();
+cluster.close();
+```
+
 ## Gremlin Console
 1. Download Gremlin console and unpack to your local directory.
    ```bash