hililiwei commented on a change in pull request #3749:
URL: https://github.com/apache/iceberg/pull/3749#discussion_r770167693
##########
File path: site/docs/spark-structured-streaming.md
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@@ -26,6 +26,28 @@ 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:
+
+* The fully-qualified path to a HDFS table, like `hdfs://nn:8020/path/to/table`
+* A table name if the table is tracked by a catalog, like `database.table_name`
Review comment:
I can't find a reference anywhere in the document yet, how about I link
it to the Java
Doc(https://iceberg.apache.org/javadoc/0.12.1/org/apache/iceberg/catalog/TableIdentifier.html)?
Maybe I add its definition to the document in this issuse？ or we create a
separate issuse trace for this?
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