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-rw-r--r--docs/streaming-programming-guide.md2
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diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index e72d5580da..2f3013b533 100644
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+++ b/docs/streaming-programming-guide.md
@@ -854,6 +854,8 @@ it with new information. To use this, you will have to do two steps.
1. Define the state update function - Specify with a function how to update the state using the
previous state and the new values from an input stream.
+In every batch, Spark will apply the state update function for all existing keys, regardless of whether they have new data in a batch or not. If the update function returns `None` then the key-value pair will be eliminated.
+
Let's illustrate this with an example. Say you want to maintain a running count of each word
seen in a text data stream. Here, the running count is the state and it is an integer. We
define the update function as: