case class CassandraInput(name: String, host: String, user: Option[String], password: Option[String], table: String, keySpace: String, options: Option[Map[String, String]]) extends IncrementalReader with DatasourceReader with Product with Serializable
Case class representing a Cassandra input configuration.
- name
The name of the Cassandra input.
- host
The Cassandra host.
- user
Optional username for authentication.
- password
Optional password for authentication.
- table
The Cassandra table.
- keySpace
The Cassandra keyspace.
- options
Optional additional options for reading from Cassandra.
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Instance Constructors
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new
CassandraInput(name: String, host: String, user: Option[String], password: Option[String], table: String, keySpace: String, options: Option[Map[String, String]])
- name
The name of the Cassandra input.
- host
The Cassandra host.
- user
Optional username for authentication.
- password
Optional password for authentication.
- table
The Cassandra table.
- keySpace
The Cassandra keyspace.
- options
Optional additional options for reading from Cassandra.
Value Members
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final
def
!=(arg0: Any): Boolean
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- val host: String
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def
isInstanceOf[T0]: Boolean
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- val keySpace: String
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val
name: String
The name of the data reader.
The name of the data reader.
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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notifyAll(): Unit
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- val options: Option[Map[String, String]]
- val password: Option[String]
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def
persistIncrementalState(): Unit
Persists the incremental state if any.
Persists the incremental state if any.
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- IncrementalReader
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def
read(sparkSession: SparkSession): DataFrame
Reads data from Cassandra table.
Reads data from Cassandra table.
- sparkSession
The SparkSession instance.
- returns
The DataFrame containing the read data.
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- CassandraInput → Reader
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def
readIncremental(df: DataFrame, incremental: Option[Incremental]): DataFrame
Reads data from a DataFrame with optional incremental settings.
Reads data from a DataFrame with optional incremental settings.
- df
The DataFrame to read data from.
- incremental
Optional Incremental settings to apply.
- returns
A new DataFrame after applying incremental settings if provided, otherwise the original DataFrame.
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- val table: String
- val user: Option[String]
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