hililiwei commented on a change in pull request #3749:
URL: https://github.com/apache/iceberg/pull/3749#discussion_r770165074
##########
File path: site/docs/spark-structured-streaming.md
##########
@@ -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`
+
+!!! Note
+ Iceberg only supports read data from snapshot whose type of Data
Operations is APPEND\REPLACE\DELETE. In particular if some of your snapshots
are of DELETE type, you need to add 'streaming-skip-delete-snapshots' option to
skip it, otherwise the task will fail.
Review comment:
I just want to show this:
https://iceberg.apache.org/#maintenance/
##########
File path: site/docs/spark-structured-streaming.md
##########
@@ -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`
+
+!!! Note
+ Iceberg only supports read data from snapshot whose type of Data
Operations is APPEND\REPLACE\DELETE. In particular if some of your snapshots
are of DELETE type, you need to add 'streaming-skip-delete-snapshots' option to
skip it, otherwise the task will fail.
Review comment:
I just want to show like this:
https://iceberg.apache.org/#maintenance/
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