xav*_*xav 4 apache-spark databricks confluent-schema-registry spark-structured-streaming confluent-platform
我想从融合的云主题读取数据,然后写入另一个主题。
在本地主机上,我没有遇到任何重大问题。但是confluent cloud的schema registry需要传递一些我不知道如何输入的身份验证数据:
basic.auth.credentials.source=USER_INFO
schema.registry.basic.auth.user.info=:
schema.registry.url= https://xxxxxxxxxx.confluent.cloudBlockquote
以下是当前代码:
import com.databricks.spark.avro.SchemaConverters
import io.confluent.kafka.schemaregistry.client.{CachedSchemaRegistryClient, SchemaRegistryClient}
import io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer
import org.apache.avro.Schema
import org.apache.avro.generic.GenericRecord
import org.apache.spark.sql.SparkSession
object AvroConsumer {
private val topic = "transactions"
private val kafkaUrl = "http://localhost:9092"
private val schemaRegistryUrl = "http://localhost:8081"
private val schemaRegistryClient = new CachedSchemaRegistryClient(schemaRegistryUrl, 128)
private val kafkaAvroDeserializer = new AvroDeserializer(schemaRegistryClient)
private val avroSchema = schemaRegistryClient.getLatestSchemaMetadata(topic + "-value").getSchema
private var sparkSchema = SchemaConverters.toSqlType(new Schema.Parser().parse(avroSchema))
def main(args: Array[String]): Unit = {
val spark = SparkSession
.builder
.appName("ConfluentConsumer")
.master("local[*]")
.getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
spark.udf.register("deserialize", (bytes: Array[Byte]) =>
DeserializerWrapper.deserializer.deserialize(bytes)
)
val kafkaDataFrame = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", kafkaUrl)
.option("subscribe", topic)
.load()
val valueDataFrame = kafkaDataFrame.selectExpr("""deserialize(value) AS message""")
import org.apache.spark.sql.functions._
val formattedDataFrame = valueDataFrame.select(
from_json(col("message"), sparkSchema.dataType).alias("parsed_value"))
.select("parsed_value.*")
formattedDataFrame
.writeStream
.format("console")
.option("truncate", false)
.start()
.awaitTermination()
}
object DeserializerWrapper {
val deserializer = kafkaAvroDeserializer
}
class AvroDeserializer extends AbstractKafkaAvroDeserializer {
def this(client: SchemaRegistryClient) {
this()
this.schemaRegistry = client
}
override def deserialize(bytes: Array[Byte]): String = {
val genericRecord = super.deserialize(bytes).asInstanceOf[GenericRecord]
genericRecord.toString
}
}
}
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我想我必须将此身份验证数据传递给 CachedSchemaRegistryClient,但我不确定是否这样做以及如何传递。
我终于能够通过属性。
我留下了给出解决方案的台词。
val restService = new RestService(schemaRegistryURL)
val props = Map(
"basic.auth.credentials.source" -> "USER_INFO",
"schema.registry.basic.auth.user.info" -> "secret:secret"
).asJava
var schemaRegistryClient = new CachedSchemaRegistryClient(restService, 100, props)
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