afeldman1 commented on a change in pull request #1761:
URL: https://github.com/apache/hudi/pull/1761#discussion_r446374024
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File path: docs/_docs/2_3_querying_data.md
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@@ -136,6 +136,16 @@ The Spark Datasource API is a popular way of authoring
Spark ETL pipelines. Hudi
datasources work (e.g: `spark.read.parquet`). Both snapshot querying and
incremental querying are supported here. Typically spark jobs require adding
`--jars <path to jar>/hudi-spark-bundle_2.11-<hudi version>.jar` to classpath
of drivers
and executors. Alternatively, hudi-spark-bundle can also fetched via the
`--packages` options (e.g: `--packages
org.apache.hudi:hudi-spark-bundle_2.11:0.5.3`).
+### Snapshot query {#spark-snap-query}
+This method can be used to retrieve the data table at the present point in
time.
+
+```scala
+val hudiIncQueryDF = spark
+ .read()
+ .format("org.apache.hudi")
Review comment:
Same reply as well,
> This seems to be specified as "org.apache.hudi" by all the existing
documentation that I can find and when I run the code as well. See example of
current usage here:
https://hudi.apache.org/docs/writing_data.html#datasource-writer
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