ektravel commented on code in PR #14329:
URL: https://github.com/apache/druid/pull/14329#discussion_r1260488248


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docs/development/extensions-contrib/iceberg.md:
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@@ -0,0 +1,121 @@
+---
+id: iceberg 
+title: "Iceberg"
+---
+
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+  -->
+
+## Iceberg Ingest Extension
+
+This extension provides 
[IcebergInputSource](../../ingestion/input-sources.md#iceberg-input-source) 
which enables ingestion of data stored in the Iceberg table format into Druid.
+
+Apache Iceberg is an open table format for huge analytic datasets. Even though 
iceberg manages most of its metadata in metadata files in the object storage, 
it is still dependent on a metastore for managing a certain amount of metadata.
+These metastores are defined as Iceberg catalogs and this extension supports 
connecting to the following catalog types:
+* Hive metastore catalog
+* Local catalog
+
+Support for AWS Glue and REST based catalogs are not available yet.
+
+For a given catalog, iceberg table name and filters, the IcebergInputSource 
works by reading the table from the catalog, applying the filters and 
extracting all the underlying live data files up to the latest snapshot.
+The data files are in either Parquet, ORC or Avro formats and all of these 
have InputFormat support in Druid. The data files typically reside in a 
warehouse location which could be in HDFS, S3 or the local filesystem.
+This extension relies on the existing InputSource connectors in Druid to read 
the data files from the warehouse. Therefore, the IcebergInputSource can be 
considered as an intermediate InputSource which provides the file paths for 
other InputSource implementations.
+
+### Load the Iceberg Ingest extension
+
+To use the iceberg extension, add the `druid-iceberg-extensions` to the list 
of loaded extensions. See [Loading 
extensions](../../configuration/extensions.md#loading-extensions) for more 
information.
+
+
+### Hive Metastore catalog
+
+For Druid to seamlessly talk to the Hive Metastore, ensure that the Hive 
specific configuration files such as `hive-site.xml` and `core-site.xml` are 
available in the Druid classpath for peon processes.  
+Hive specific properties can also be specified under the `catalogProperties` 
object in the ingestion spec. 
+
+Hive metastore catalogs can be associated with different types of warehouses, 
but this extension presently only supports HDFS and S3 warehouse directories.
+
+#### Reading from HDFS warehouse 
+
+Ensure that the extension `druid-hdfs-storage` is loaded. The data file paths 
are extracted from the Hive metastore catalog and [HDFS input 
source](../../ingestion/input-sources.md#hdfs-input-source) is used to ingest 
these files.
+The `warehouseSource` type in the ingestion spec should be `hdfs`.
+
+If the Hive metastore supports Kerberos authentication, the following 
properties will be required in the `catalogProperties`:
+
+```json
+"catalogProperties": {
+  "principal": "krb_principal",
+  "keytab": "/path/to/keytab"
+}
+```
+Only Kerberos based authentication is supported as of now.
+
+#### Reading from S3 warehouse
+
+Ensure that the extension `druid-s3-extensions` is loaded. The data file paths 
are extracted from the Hive metastore catalog and `S3InputSource` is used to 
ingest these files.
+The `warehouseSource` type in the ingestion spec should be `s3`. If the S3 
endpoint for the warehouse is different from the endpoint configured as the 
deep storage, the following properties are required in the `warehouseSource` 
section to define the S3 endpoint settings:
+
+```json
+"warehouseSource": {
+  "type": "s3",
+  "endpointConfig": {
+    "url": "S3_ENDPOINT_URL",
+    "signingRegion": "us-east-1"
+  },
+  "clientConfig": {
+    "protocol": "http",
+    "disableChunkedEncoding": true,
+    "enablePathStyleAccess": true,
+    "forceGlobalBucketAccessEnabled": false
+  },
+  "properties": {
+    "accessKeyId": {
+      "type": "default",
+      "password": "<ACCESS_KEY_ID"
+    },
+    "secretAccessKey": {
+      "type": "default",
+      "password": "<SECRET_ACCESS_KEY>"
+    }
+  }
+}
+```
+
+This extension uses the [Hadoop AWS 
module](https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/) to 
connect to S3 and retrieve the metadata and data file paths.
+The following properties will be required in the `catalogProperties`:
+
+```json
+"catalogProperties": {
+  "fs.s3a.access.key" : "S3_ACCESS_KEY",
+  "fs.s3a.secret.key" : "S3_SECRET_KEY",
+  "fs.s3a.endpoint" : "S3_API_ENDPOINT"
+}
+```
+Since the Hadoop AWS connector uses the `s3a` filesystem based client, the 
warehouse path should be specified with the `s3a://` protocol instead of 
`s3://`.
+
+### Local Catalog
+
+The local catalog type can be used for catalogs configured on the local 
filesystem. The `icebergCatalog` type should be set as `local`. This catalog is 
useful for demos or localized tests and is not recommended for production use 
cases.

Review Comment:
   ```suggestion
   The local catalog type can be used for catalogs configured on the local 
filesystem. Set the `icebergCatalog` type to `local`. You can use this catalog 
for demos or localized tests. It is not recommended for production use cases.
   ```



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