class ConfluentAvroConnector extends ConfluentConnector
Provides Spark SQL functions from/to_confluent_avro for decoding/encoding confluent avro messages.
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- new ConfluentAvroConnector(confluentClient: ConfluentClient[AvroSchema])
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def debugSchemaDiff(schema1: AvroSchema, schema2: AvroSchema): Seq[String]
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- def from_confluent(data: Column, topic: String, subjectType: SubjectType): Column
Converts a binary column of confluent avro format into its corresponding catalyst value according to the latest schema stored in schema registry.
Converts a binary column of confluent avro format into its corresponding catalyst value according to the latest schema stored in schema registry. Note: copied from org.apache.spark.sql.avro.*
- data
the binary column.
- topic
the topic name.
- subjectType
the subject type (key or value).
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- ConfluentAvroConnector → 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 avro format according to the latest schema stored in schema registry.
Converts a column into binary of confluent avro format according to the latest schema stored in schema registry. Note: copied from org.apache.spark.sql.avro.*
- 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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- ConfluentAvroConnector → ConfluentConnector
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