[MINOR][DOCS] Fix invalid documentation for StreamingQueryManager Class

[asaf400]

What changes were proposed in this pull request?

When following the example for using spark.streams().awaitAnyTermination()
a valid pyspark code will output the following error:

Traceback (most recent call last):
  File "pyspark_app.py", line 182, in <module>
    spark.streams().awaitAnyTermination()
TypeError: 'StreamingQueryManager' object is not callable

Docs URL: https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#managing-streaming-queries

This changes the documentation line to properly call the method under the StreamingQueryManager Class
https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.streaming.StreamingQueryManager

How was this patch tested?

After changing the syntax, error no longer occurs and pyspark application works

This is only docs change

[srowen]

Do you see any other instances like this?

[SparkQA]

Test build #4778 has finished for PR 24547 at commit e322c1c.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds no public classes.

[HyukjinKwon]

Honestly, I think we should make this as a self-contained example .. that's maybe the root cause that we have not-working examples. We can do it separately later.

[HyukjinKwon]

I quickly double checked. Let's fix sparkSession.streams() in the doc -> sparkSession.streams. Looks good otherwise

[asaf400]

@srowen for sure, There are more places in the spark docs that have not-working examples, that I have encountered, personally.

I believe @HyukjinKwon is right, as I was searching for pyspark knowledge resources, databricks saved me many times, with a full working example, somewhat self-contained (enough to learn from the example and implement on my code without actually 'running' the example)

I'm currently in the process of building a spark cluster for data science infrastructure and data lake,
during learning spark and pyspark I have come across numerous documentation problems, where spark docs would say do this, but that didn't work, and google helped with results of do this, like that - full example or same spark example but with correct syntax, results were mainly from databricks, and other bloggers (medium, etc..)

As a first time user starting out with spark, which looks like (and is) a mature program,
the devil is in the documentation, meaning a not-working example leads to loss of confidence in the program..

This is just the first time I actually make a PR about something that I found was wrong in official docs, I'll try to be more alert, and post more PR's as I re-encounter invalid docs..

[HyukjinKwon]

Merged to master, branch-2.4 and branch-2.3.