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Update Oracle.md (#353)
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versioned_docs/version-2.3.8/connector-v2/source/Oracle.md

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@@ -96,7 +96,7 @@ Read external data source data through JDBC.
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| fetch_size | Int | No | 0 | For queries that return a large number of objects,you can configure<br/> the row fetch size used in the query toimprove performance by<br/> reducing the number database hits required to satisfy the selection criteria.<br/> Zero means use jdbc default value. |
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| properties | Map | No | - | Additional connection configuration parameters,when properties and URL have the same parameters, the priority is determined by the <br/>specific implementation of the driver. For example, in MySQL, properties take precedence over the URL. |
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| table_path | String | No | - | The path to the full path of table, you can use this configuration instead of `query`. <br/>examples: <br/>mysql: "testdb.table1" <br/>oracle: "test_schema.table1" <br/>sqlserver: "testdb.test_schema.table1" <br/>postgresql: "testdb.test_schema.table1" |
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| table_list | Array | No | - | The list of tables to be read, you can use this configuration instead of `table_path` example: ```[{ table_path = "testdb.table1"}, {table_path = "testdb.table2", query = "select * id, name from testdb.table2"}]``` |
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| table_list | Array | No | - | The list of tables to be read, you can use this configuration instead of `table_path` example: ```[{ table_path = "testdb.table1"}, {table_path = "testdb.table2", query = "select *, id, name from testdb.table2"}]``` |
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| where_condition | String | No | - | Common row filter conditions for all tables/queries, must start with `where`. for example `where id > 100` |
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| split.size | Int | No | 8096 | The split size (number of rows) of table, captured tables are split into multiple splits when read of table. |
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| split.even-distribution.factor.lower-bound | Double | No | 0.05 | The lower bound of the chunk key distribution factor. This factor is used to determine whether the table data is evenly distributed. If the distribution factor is calculated to be greater than or equal to this lower bound (i.e., (MAX(id) - MIN(id) + 1) / row count), the table chunks would be optimized for even distribution. Otherwise, if the distribution factor is less, the table will be considered as unevenly distributed and the sampling-based sharding strategy will be used if the estimated shard count exceeds the value specified by `sample-sharding.threshold`. The default value is 0.05. |

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