jackye1995 commented on a change in pull request #1891:
URL: https://github.com/apache/iceberg/pull/1891#discussion_r553676871



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+ - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ 
+# Iceberg AWS Integrations
+
+Iceberg provides integration with different AWS services through the 
`iceberg-aws` module. 
+This section describes how to use Iceberg with AWS.
+
+## Runtime Packages
+
+The `iceberg-aws` module is bundled with Spark and Flink engine runtimes.
+However, the AWS clients are not bundled so that you can use the same client 
version as your application.
+You will need to provide the AWS v2 SDK because that is what Iceberg depends 
on.
+You can choose to use the [AWS SDK 
bundle](https://mvnrepository.com/artifact/software.amazon.awssdk/bundle), 
+or individual AWS client packages (Glue, S3, DynamoDB, KMS, STS) if you would 
like to have a minimal dependency footprint.
+
+For example, to use AWS features with Spark 3 and AWS clients version 2.15.40, 
you can start the SQL shell with:
+
+```sh
+spark-sql --packages 
org.apache.iceberg:iceberg-spark3-runtime:0.11.0,software.amazon.awssdk:bundle:2.15.40
 \
+    --conf spark.sql.catalog.my_catalog=org.apache.iceberg.spark.SparkCatalog \
+    --conf spark.sql.catalog.my_catalog.warehouse=s3://my-bucket/my/key/prefix 
\    
+    --conf 
spark.sql.catalog.my_catalog.catalog-impl=org.apache.iceberg.aws.glue.GlueCatalog
 \
+    --conf 
spark.sql.catalog.my_catalog.lock.impl=org.apache.iceberg.aws.glue.DynamoLockManager
 \
+    --conf spark.sql.catalog.my_catalog.lock.table=myGlueLockTable
+```
+
+As you can see, In the shell command, we use `--packages` to specify the 
additional AWS bundle dependency with its version as `2.15.40`.
+
+## Glue Catalog
+
+Iceberg enables the use of [AWS Glue](https://aws.amazon.com/glue) as the 
`Catalog` implementation.
+When used, an Iceberg namespace is stored as a [Glue 
Database](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-catalog-databases.html),
 
+an Iceberg table is stored as a [Glue 
Table](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-catalog-tables.html),
+and every Iceberg table version is stored as a [Glue 
TableVersion](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-catalog-tables.html#aws-glue-api-catalog-tables-TableVersion).
 
+You can start using Glue catalog by specifying the `catalog-impl` as 
`org.apache.iceberg.aws.glue.GlueCatalog`,
+just like what is shown in the [runtime packages](#runtime-packages) section 
above. 
+More details about loading the catalog can be found in individual engine 
pages, such as [Spark](../spark/#loading-a-custom-catalog) and 
[Flink](../flink/#creating-catalogs-and-using-catalogs).
+
+### Glue Catalog ID
+
+You can specify the Glue catalog ID through `gluecatalog.id` catalog property 
to point to a Glue catalog in a different AWS account.
+The Glue catalog ID is your numeric AWS account ID.
+If the Glue catalog is in a different region, you should configure you AWS 
client to point to the correct region, 
+see more details in [AWS client customization](#aws-client-customization).
+
+### Skip Archive
+
+By default, Glue stores all the table versions created and user can rollback a 
table to any historical version if needed.
+However, if you are streaming data to Iceberg, this will easily create a lot 
of Glue table versions.
+Therefore, it is recommended to turn off the archive feature in Glue by 
setting `gluecatalog.skip-archive` to true.
+For more details, please read [Glue 
Quotas](https://docs.aws.amazon.com/general/latest/gr/glue.html) and the 
[UpdateTable 
API](https://docs.aws.amazon.com/glue/latest/webapi/API_UpdateTable.html).
+
+### DynamoDB for commit locking
+
+Glue does not have a strong guarantee over concurrent updates to a table. 
+Although it throws `ConcurrentModificationException` when detecting two 
processes updating a table at the same time,
+there is no guarantee that one update would not clobber the other update.
+Therefore, DynamoDB can be used for Glue, so that for every commit, 
+`GlueCatalog` first obtains a lock using a helper DynamoDB table and then try 
to safely modify the Glue table.
+
+To enable this feature, use the lock related catalog properties:
+
+1. Set `lock.impl` as `org.apache.iceberg.aws.glue.DynamoLockManager`.
+2. Set `lock.table` as the DynamoDB table name you would like to use. If the 
lock table with the given name does not exist in DynamoDB, a new table is 
created with billing mode set as 
[pay-per-request](https://aws.amazon.com/blogs/aws/amazon-dynamodb-on-demand-no-capacity-planning-and-pay-per-request-pricing).
+
+Other lock related catalog properties can also be used to adjust locking 
behaviors such as heartbeat interval.
+For more details, please refer to [Lock catalog 
properties](../configuration/#lock-catalog-properties). 
+
+### Warehouse Location
+
+By default, Glue only allows a warehouse location in S3 because of the use of 
`S3FileIO`.
+To store data in a different local or cloud store, Glue catalog can switch to 
use `HadoopFileIO` 
+or any custom FileIO through the mechanism described in the [custom 
FileIO](../custom-catalog/#custom-file-io-implementation) section.
+
+### Table Location
+
+By default, the root location for a table `my_table` of namespace `my_ns` is 
at `my-warehouse-location/my-ns.db/my-table`.
+This root location can be changed at both namespace and table level.
+
+To use a different path prefix for all tables under a namespace, use any AWS 
Glue client SDK you like to update the `locationUri` attribute of the 
corresponding Glue database.
+For example, you can update the `locationUri` of `my_ns` to 
`s3://my-ns-bucket`, 
+then any newly created table will have a default root location under the new 
prefix.
+For example, a new table `my_table_2` will have its root location at 
`s3://my-ns-bucket/my_table_2`.
+
+To use a completely different root path for a specific table, set the 
`location` table property to be the desired root path value.
+
+## S3 FileIO
+
+Iceberg allows users to write data to S3 through `S3FileIO`.
+`GlueCatalog` by default uses this FileIO, and other catalogs can load this 
FileIO using the `io-impl` catalog property.
+
+### Progressive Multipart Upload
+
+`S3FileIO` implements a customized progressive multipart upload algorithm to 
upload data.
+Data files are uploaded by parts in parallel as soon as each part is ready,
+and each file part is deleted as soon as its upload process completes.
+This provides maximized upload speed and minimized local disk usage during 
uploads.
+Here are the configurations that users can tune related to this feature:
+
+| Property                          | Default                                  
          | Description                                            |
+| --------------------------------- | 
-------------------------------------------------- | 
------------------------------------------------------ |
+| s3fileio.multipart.num-threads    | the available number of processors in 
the system   | number of threads to use for uploading parts to S3 (shared 
across all output streams)  |
+| s3fileio.multipart.part.size      | 32MB                                     
          | the size of a single part for multipart upload requests  |
+| s3fileio.multipart.threshold      | 1.5                                      
          | the threshold expressed as a factor times the multipart size at 
which to switch from uploading using a single put object request to uploading 
using multipart upload  |
+| s3fileio.staging.dir              | `java.io.tmpdir` property value          
          | the directory to hold temporary files  |

Review comment:
       Looks like there are multiple discussions around the config key names, 
and these names for `s3fileio` are not designed by me but Daniel. Let me put up 
another thread for this discussion before release.




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