class ConfluentJsonConnector extends ConfluentConnector
Provides Spark SQL functions from/to_confluent for decoding/encoding confluent json messages.
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- new ConfluentJsonConnector(confluentClient: ConfluentClient[JsonSchema])
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- def from_confluent(data: Column, topic: String, subjectType: SubjectType): Column
Converts a binary column of confluent json format into its corresponding catalyst value according to the latest schema stored in schema registry.
Converts a binary column of confluent json format into its corresponding catalyst value according to the latest schema stored in schema registry.
- data
the binary column.
- topic
the topic name.
- subjectType
the subject type (key or value).
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- ConfluentJsonConnector → ConfluentConnector
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- def to_confluent(data: Column, topic: String, subjectType: SubjectType, updateAllowed: Boolean = false, mutualReadCheck: Boolean = false, eagerCheck: Boolean = false): Column
Converts a column into binary of confluent json format according to the latest schema stored in schema registry.
Converts a column into binary of confluent json format according to the latest schema stored in schema registry.
- data
the data column.
- topic
the topic name.
- subjectType
the subject type (key or value).
- updateAllowed
if subject schema should be updated if compatible
- mutualReadCheck
if a mutual read check or a simpler can read check should be executed
- eagerCheck
if true tiggers instantiation of converter object instances
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- ConfluentJsonConnector → ConfluentConnector
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