samredai commented on code in PR #4801:
URL: https://github.com/apache/iceberg/pull/4801#discussion_r882845803


##########
docs/configurations/_index.md:
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@@ -0,0 +1,213 @@
+---
+bookIconFa: fa-gears
+bookFlatSection: true
+url: configurations
+weight: 470
+---
+<!--
+ - Licensed to the Apache Software Foundation (ASF) under one or more
+ - contributor license agreements.  See the NOTICE file distributed with
+ - this work for additional information regarding copyright ownership.
+ - The ASF licenses this file to You under the Apache License, Version 2.0
+ - (the "License"); you may not use this file except in compliance with
+ - the License.  You may obtain a copy of the License at
+ -
+ -   http://www.apache.org/licenses/LICENSE-2.0
+ -
+ - Unless required by applicable law or agreed to in writing, software
+ - distributed under the License is distributed on an "AS IS" BASIS,
+ - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ - See the License for the specific language governing permissions and
+ - limitations under the License.
+ -->
+
+# Configurations
+
+### Table Read Properties
+
+| Property                          | Default            | Description         
                                   |
+| --------------------------------- | ------------------ | 
------------------------------------------------------ |
+| read.split.target-size            | 134217728 (128 MB) | Target size when 
combining data input splits           |
+| read.split.metadata-target-size   | 33554432 (32 MB)   | Target size when 
combining metadata input splits       |
+| read.split.planning-lookback      | 10                 | Number of bins to 
consider when combining input splits |
+| read.split.open-file-cost         | 4194304 (4 MB)     | The estimated cost 
to open a file, used as a minimum weight when combining splits. |
+| read.parquet.vectorization.enabled| false              | Enables parquet 
vectorized reads                       |
+| read.parquet.vectorization.batch-size| 5000            | The batch size for 
parquet vectorized reads            |
+| read.orc.vectorization.enabled    | false              | Enables orc 
vectorized reads                           |
+| read.orc.vectorization.batch-size | 5000               | The batch size for 
orc vectorized reads                |
+
+### Table Write Properties
+
+| Property                           | Default            | Description        
                                |
+| ---------------------------------- | ------------------ | 
-------------------------------------------------- |
+| write.format.default               | parquet            | Default file 
format for the table; parquet, avro, or orc |
+| write.delete.format.default        | data file format   | Default delete 
file format for the table; parquet, avro, or orc |
+| write.parquet.row-group-size-bytes | 134217728 (128 MB) | Parquet row group 
size                             |
+| write.parquet.page-size-bytes      | 1048576 (1 MB)     | Parquet page size  
                                |
+| write.parquet.dict-size-bytes      | 2097152 (2 MB)     | Parquet dictionary 
page size                       |
+| write.parquet.compression-codec    | gzip               | Parquet 
compression codec: zstd, brotli, lz4, gzip, snappy, uncompressed |
+| write.parquet.compression-level    | null               | Parquet 
compression level                          |
+| write.avro.compression-codec       | gzip               | Avro compression 
codec: gzip(deflate with 9 level), gzip, snappy, uncompressed |

Review Comment:
   Updated here, thanks!



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