rdblue commented on a change in pull request #3749:
URL: https://github.com/apache/iceberg/pull/3749#discussion_r776876885
##########
File path: site/docs/spark-structured-streaming.md
##########
@@ -26,6 +26,25 @@ As of Spark 3.0, DataFrame reads and writes are supported.
|--------------------------------------------------|----------|------------|------------------------------------------------|
| [DataFrame write](#writing-with-streaming-query) | ✔ | ✔ |
|
+## Streaming Reads
+
+Iceberg supports processing incremental data in spark structured streaming
jobs which starts from a historical timestamp:
+
+```scala
+val spark:SparkSession = ...
+val tableIdentifier: String = ...
+
+val df = spark.readStream
+ .format("iceberg")
+ .option(SparkReadOptions.STREAM_FROM_TIMESTAMP,
Long.toString(streamStartTimestamp))
+ .load(tableIdentifier)
+```
+
+The `tableIdentifier` can be any valid table identifier or table path. Refer
[TableIdentifier](https://iceberg.apache.org/javadoc/0.12.1/org/apache/iceberg/catalog/TableIdentifier.html)
Review comment:
It may be useful in some of the API documentation.
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