[英]“Malformed data length is negative”, when trying to use spark structured streaming from kafka with Avro data source
所以我一直在嘗試使用 Kafka 和 Avro 數據結構化流 Avro 的Angel Conde 的結構化流
然而,我的數據似乎有點復雜,其中包含嵌套數據。 這是我的代碼,
private static Injection<GenericRecord, byte[]> recordInjection;
private static StructType type;
private static final String SNOQTT_SCHEMA = "{"
+"\"type\": \"record\","
+"\"name\": \"snoqttv2\","
+"\"fields\": ["
+" { \"name\": \"src_ip\", \"type\": \"string\" },"
+" { \"name\": \"classification\", \"type\": \"long\" },"
+" { \"name\": \"device_id\", \"type\": \"string\" },"
+" { \"name\": \"alert_msg\", \"type\": \"string\" },"
+" { \"name\": \"src_mac\", \"type\": \"string\" },"
+" { \"name\": \"sig_rev\", \"type\": \"long\" },"
+" { \"name\": \"sig_gen\", \"type\": \"long\" },"
+" { \"name\": \"dest_mac\", \"type\": \"string\" },"
+" { \"name\": \"packet_info\", \"type\": {"
+" \"type\": \"record\","
+" \"name\": \"packet_info\","
+" \"fields\": ["
+" { \"name\": \"DF\", \"type\": \"boolean\" },"
+" { \"name\": \"MF\", \"type\": \"boolean\" },"
+" { \"name\": \"ttl\", \"type\": \"long\" },"
+" { \"name\": \"len\", \"type\": \"long\" },"
+" { \"name\": \"offset\", \"type\": \"long\" }"
+" ],"
+" \"connect.name\": \"packet_info\" }},"
+" { \"name\": \"timestamp\", \"type\": \"string\" },"
+" { \"name\": \"sig_id\", \"type\": \"long\" },"
+" { \"name\": \"ip_type\", \"type\": \"string\" },"
+" { \"name\": \"dest_ip\", \"type\": \"string\" },"
+" { \"name\": \"priority\", \"type\": \"long\" }"
+"],"
+"\"connect.name\": \"snoqttv2\" }";
private static Schema.Parser parser = new Schema.Parser();
private static Schema schema = parser.parse(SNOQTT_SCHEMA);
static {
recordInjection = GenericAvroCodecs.toBinary(schema);
type = (StructType) SchemaConverters.toSqlType(schema).dataType();
}
public static void main(String[] args) throws StreamingQueryException{
// Set log4j untuk development langsung dari java
LogManager.getLogger("org.apache.spark").setLevel(Level.WARN);
LogManager.getLogger("akka").setLevel(Level.ERROR);
// Set konfigurasi untuk streamcontext dan sparkcontext
SparkConf conf = new SparkConf()
.setAppName("Snoqtt-Avro-Structured")
.setMaster("local[*]");
// Inisialisasi spark session
SparkSession sparkSession = SparkSession
.builder()
.config(conf)
.getOrCreate();
// Reduce task number
sparkSession.sqlContext().setConf("spark.sql.shuffle.partitions", "3");
// Mulai data stream di kafka
Dataset<Row> ds1 = sparkSession
.readStream()
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "snoqttv2")
.option("startingOffsets", "latest")
.load();
// Mulai streaming query
sparkSession.udf().register("deserialize", (byte[] data) -> {
GenericRecord record = recordInjection.invert(data).get();
return RowFactory.create(
record.get("timestamp").toString(),
record.get("device_id").toString(),
record.get("ip_type").toString(),
record.get("src_ip").toString(),
record.get("dest_ip").toString(),
record.get("src_mac").toString(),
record.get("dest_mac").toString(),
record.get("alert_msg").toString(),
record.get("sig_rev").toString(),
record.get("sig_gen").toString(),
record.get("sig_id").toString(),
record.get("classification").toString(),
record.get("priority").toString());
}, DataTypes.createStructType(type.fields()));
ds1.printSchema();
Dataset<Row> ds2 = ds1
.select("value").as(Encoders.BINARY())
.selectExpr("deserialize(value) as rows")
.select("rows.*");
ds2.printSchema();
StreamingQuery query1 = ds2
.groupBy("sig_id")
.count()
.writeStream()
.queryName("Signature ID Count Query")
.outputMode("complete")
.format("console")
.start();
query1.awaitTermination();
}
在我收到第一批消息之前,這一切都很有趣和游戲,但遇到了錯誤
18/01/22 14:29:00 錯誤執行器:階段 4.0 中任務 0.0 中的異常(TID 8)org.apache.spark.SparkException:無法執行用戶定義的函數($anonfun$27:(二進制)=> 結構,時間戳:字符串,sig_id:bigint,ip_type:string,dest_ip:string,priority:bigint>) 在 ...
引起:com.twitter.bijection.InversionFailure:無法反轉:[B@232f8415 at ...
引起:org.apache.avro.AvroRuntimeException:格式錯誤的數據。 長度為負數:-25 at ...
我做錯了嗎? 或者我的嵌套模式是我代碼中的邪惡根源? 感謝你們的任何幫助
剛剛使用嵌套模式和使用新的 avro 數據源的示例更新了 repo。 回購
在使用新數據源之前,我嘗試使用雙射庫並遇到與您發布的錯誤相同的錯誤,但修復了刪除 Kafka 臨時文件夾以重置舊排隊數據的問題。
最好的
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