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- Adds a new config option "changefeedstartfromdatetime" that can be used to specify from when the changefeed should be processed. See [Config options](https://github.com/Azure/azure-cosmosdb-spark/wiki/Configuration-references) for details.
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## 3.2.0
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###3.2.0
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- Fixes a regression that caused excessive memory consumption on the executors for large result sets (for example with millions of rows) ultimately resulting in an error "java.lang.OutOfMemoryError: GC overhead limit exceeded"
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## 3.1.1
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###3.1.1
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- Fixes a streaming checkpoint edge case where in the "id" contains "|" character with the "ChangeFeedMaxPagesPerBatch" config applied
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## 3.1.0
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###3.1.0
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- Adds support for bulk updates when using nested partition keys
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- Adds support for Decimal and Float data types during writes to Cosmos DB.
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- Adds support for Timestamp types when they are using Long (unix Epoch) as a value
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## 3.0.8
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###3.0.8
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- Fixes type cast exception when using "WriteThroughputBudget" config.
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## 3.0.7
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###3.0.7
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- Adds error information for bulk failures to exception and log.
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## 3.0.6
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###3.0.6
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- Fixes streaming checkpoint issues.
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## 3.0.5
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###3.0.5
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- Fixes log level of a message left unintentionally with level ERROR to reduce noise
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## 3.0.4
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###3.0.4
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- Fixes a bug in structured streaming during partition splits - possibly resulting in missing some change feed records or seeing Null exceptions for checkpoint writes
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## 3.0.3
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###3.0.3
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- Fixes a bug where a custom schema provided for readStream is ignored
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## 3.0.2
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###3.0.2
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- Fixes regression (unshaded JAR includes all shaded dependencies) which increased build time by 50%
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## 3.0.1
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###3.0.1
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- Fixes a dependency issue causing Direct Transport over TCP to fail with RequestTimeoutException
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## 3.0.0
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- Improves connection management and connection pooling to reduce number of metadata calls
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###3.0.0
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- Improves connection management and connection pooling to reduce number of metadata calls
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