object KafkaUtils extends Logging
object for constructing Kafka streams and RDDs
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def
createDirectStream[K, V](jssc: JavaStreamingContext, locationStrategy: LocationStrategy, consumerStrategy: ConsumerStrategy[K, V], perPartitionConfig: PerPartitionConfig): JavaInputDStream[ConsumerRecord[K, V]]
Java constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
Java constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
- K
type of Kafka message key
- V
type of Kafka message value
- locationStrategy
In most cases, pass in LocationStrategies.PreferConsistent, see LocationStrategies for more details.
- consumerStrategy
In most cases, pass in ConsumerStrategies.Subscribe, see ConsumerStrategies for more details
- perPartitionConfig
configuration of settings such as max rate on a per-partition basis. see PerPartitionConfig for more details.
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def
createDirectStream[K, V](jssc: JavaStreamingContext, locationStrategy: LocationStrategy, consumerStrategy: ConsumerStrategy[K, V]): JavaInputDStream[ConsumerRecord[K, V]]
Java constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
Java constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
- K
type of Kafka message key
- V
type of Kafka message value
- locationStrategy
In most cases, pass in LocationStrategies.PreferConsistent, see LocationStrategies for more details.
- consumerStrategy
In most cases, pass in ConsumerStrategies.Subscribe, see ConsumerStrategies for more details
-
def
createDirectStream[K, V](ssc: StreamingContext, locationStrategy: LocationStrategy, consumerStrategy: ConsumerStrategy[K, V], perPartitionConfig: PerPartitionConfig): InputDStream[ConsumerRecord[K, V]]
Scala constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
Scala constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
- K
type of Kafka message key
- V
type of Kafka message value
- locationStrategy
In most cases, pass in LocationStrategies.PreferConsistent, see LocationStrategies for more details.
- consumerStrategy
In most cases, pass in ConsumerStrategies.Subscribe, see ConsumerStrategies for more details.
- perPartitionConfig
configuration of settings such as max rate on a per-partition basis. see PerPartitionConfig for more details.
-
def
createDirectStream[K, V](ssc: StreamingContext, locationStrategy: LocationStrategy, consumerStrategy: ConsumerStrategy[K, V]): InputDStream[ConsumerRecord[K, V]]
Scala constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition.
Scala constructor for a DStream where each given Kafka topic/partition corresponds to an RDD partition. The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number of messages per second that each partition will accept.
- K
type of Kafka message key
- V
type of Kafka message value
- locationStrategy
In most cases, pass in LocationStrategies.PreferConsistent, see LocationStrategies for more details.
- consumerStrategy
In most cases, pass in ConsumerStrategies.Subscribe, see ConsumerStrategies for more details
-
def
createRDD[K, V](jsc: JavaSparkContext, kafkaParams: Map[String, AnyRef], offsetRanges: Array[OffsetRange], locationStrategy: LocationStrategy): JavaRDD[ConsumerRecord[K, V]]
Java constructor for a batch-oriented interface for consuming from Kafka.
Java constructor for a batch-oriented interface for consuming from Kafka. Starting and ending offsets are specified in advance, so that you can control exactly-once semantics.
- K
type of Kafka message key
- V
type of Kafka message value
- kafkaParams
Kafka configuration parameters. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.
- offsetRanges
offset ranges that define the Kafka data belonging to this RDD
- locationStrategy
In most cases, pass in LocationStrategies.PreferConsistent, see LocationStrategies for more details.
-
def
createRDD[K, V](sc: SparkContext, kafkaParams: Map[String, AnyRef], offsetRanges: Array[OffsetRange], locationStrategy: LocationStrategy): RDD[ConsumerRecord[K, V]]
Scala constructor for a batch-oriented interface for consuming from Kafka.
Scala constructor for a batch-oriented interface for consuming from Kafka. Starting and ending offsets are specified in advance, so that you can control exactly-once semantics.
- K
type of Kafka message key
- V
type of Kafka message value
- kafkaParams
Kafka configuration parameters. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.
- offsetRanges
offset ranges that define the Kafka data belonging to this RDD
- locationStrategy
In most cases, pass in LocationStrategies.PreferConsistent, see LocationStrategies for more details.
- val eofOffset: Int
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- def isStreams(currentOffsets: Map[TopicPartition, Long]): Boolean
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