When i try to use this below code getting this error :
*Exception in thread "main" org.apache.spark.sql.AnalysisException:
Generators are not supported when it's nested in expressions, but got:
generatorouter(explode(generatorouter(explode(json))));
*
StructType schema = DataTypes.createStructType(
new StructField[] {
DataTypes.createStructField("AckedState",
DataTypes.StringType, true),
DataTypes.createStructField("ConfirmedState", DataTypes.StringType,
true),
DataTypes.createStructField("Time", DataTypes.DoubleType, true),
DataTypes.createStructField("ActiveState", DataTypes.StringType,
true),
DataTypes.createStructField("SourceNode", DataTypes.StringType, true),
DataTypes.createStructField("SourceName", DataTypes.StringType, true),
DataTypes.createStructField("Message", DataTypes.StringType, true),
DataTypes.createStructField("Severity", DataTypes.IntegerType, true)
});
Dataset<Row> df =
sparkSession.readStream().format("kafka").option("kafka.bootstrap.servers",
brokers)
.option("kafka.ssl.keystore.location",
keystore).option("kafka.security.protocol", "SASL_SSL")
.option("kafka.ssl.keystore.password",
"abc").option("kafka.ssl.truststore.location", truststore)
.option("kafka.ssl.truststore.password",
"abc").option("kafka.sasl.jaas.config", jaasCfg)
.option("kafka.sasl.mechanism",
"PLAIN").option("group.id",
consumerGroupId)
.option("value.serializer",
serializer).option("key.serializer",
serializer)
.option("session.timeout.ms",
"30000").option("subscribe",
"alerts5").load()
.selectExpr("CAST(value AS STRING) as json");
df.printSchema();
Column col = new Column("json");
Dataset<Row> data = df.select(functions.from_json(col,
schema).as("json"));
data.printSchema();
Dataset<Row> results =
data.select(functions.explode_outer(functions.explode_outer(new
Column("json"))));
results.printSchema(); results.show();
results.writeStream().format("console").option("truncate",
false).start().awaitTermination();
i am using function.from_json
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