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Key | Default | Type | Description
--- | --- | --- | ---

##### read.allow.fullScan

true

Boolean

Whether to allow full scan when reading a partitioned table.

##### read.changelog

false

Boolean

Whether to read row in the form of changelog (add rowkind column in row to represent its change type).

##### read.stream.maxBytesPerTrigger

(none)

Long

The maximum number of bytes returned in a single batch.

##### read.stream.maxFilesPerTrigger

(none)

Integer

The maximum number of files returned in a single batch.

##### read.stream.maxRowsPerTrigger

(none)

Long

The maximum number of rows returned in a single batch.

##### read.stream.maxTriggerDelayMs

(none)

Long

The maximum delay between two adjacent batches, which used to create MinRowsReadLimit with read.stream.minRowsPerTrigger together.

##### read.stream.minRowsPerTrigger

(none)

Long

The minimum number of rows returned in a single batch, which used to create MinRowsReadLimit with read.stream.maxTriggerDelayMs together.

##### requiredSparkConfsCheck.enabled

true

Boolean

Whether to verify SparkSession is initialized with required configurations.

##### source.split.target-size-with-column-pruning

false

Boolean

Whether to adjust the target split size based on pruned (projected) columns. If enabled, split size estimation uses only the columns actually being read.

##### write.merge-schema

false

Boolean

If true, merge the data schema and the table schema automatically before write data.

##### write.merge-schema.explicit-cast

false

Boolean

If true, allow to merge data types if the two types meet the rules for explicit casting.

##### write.use-v2-write

false

Boolean

If true, v2 write will be used. Currently, only HASH_FIXED and BUCKET_UNAWARE bucket modes are supported. Will fall back to v1 write for other bucket modes. Currently, Spark V2 write does not support TableCapability.STREAMING_WRITE.