I am trying to decode a message coming as part of avro message in my spark2.2 streaming. I have a schema defined for this json and whenever the json message comes with out honoring the json schema, my JsonDecoder fails with below error
Caused by:…
After going through several lectures on schema registry and looking into how it works, I am more confused than before.
I would like to understand how can I include a schema registry in my kafka project where locally we have some producers and some…
I have a directory in HDFS which contains avro files. While I try to overwrite the directory with dataframe it fails.
Syntax: avroData_df.write.mode(SaveMode.Overwrite).format("com.databricks.spark.avro").save("")
The error is:
Caused by:…
I have a non-standard kafka format messages
so the code looks like as following
val df:Dataset[String] = spark
.readStream
.format("kafka")
.option("subscribe", topic)
.options(kafkaParams)
.load()
.select($"value".as[Array[Byte]])
…
We have some legacy file format, which I would need to migrate to Avro storage. The tricky part is that the records basically have
some common fields,
a discriminator field and
some unique fields, specific to the type selected by the…
I have a dataFrame
Dataset dataset = getSparkInstance().createDataFrame(newRDD, struct);
dataset.schema() is returning me a StructType.
But I want the actual schema to store in sample.avsc file
Basically I want to convert StructType to Avro…
I need to write a Scala or Java client to read Kafka message from a topic whose messages are Avro encoded and schema changes dynamically.
Please suggest a solution to read these messages without writing as Avro file.
I'm trying to read parquet file into Hive on Spark.
So I've found out that I should do something kind of that:
CREATE TABLE avro_test ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe' STORED
AS AVRO TBLPROPERTIES…
I have list of org.apache.avro.generic.GenericRecord, avro schemausing this we need to create dataframe with the help of SQLContext API, to create dataframe it needs RDD of org.apache.spark.sql.Row and avro schema. Pre-requisite to create DF is we…
I'm doing simple spark aggregation operation, reading data from avro file as dataframe and then mapping them to case-classes using rdd.map method then doing some aggregation operation, like count etc.
Most of the time it works just fine. But…
My avsc file is as follows:
{"type":"record",
"namespace":"testing.avro",
"name":"product",
"aliases":["items","services","plans","deliverables"],
"fields":
[
{"name":"id", "type":"string"…
I am using Spark Mllib to generate predictions for my data and then store them to HDFS in Avro format:
val dataPredictions = myModel.transform(myData)
val output = dataPredictions.select("is", "probability",…
I imported table with selected columns using sqoop to avro file format. Using avro-tools tojson the date appear in strange format (negetive). How can I decode date ?
{"first_name":{"string":"Mary"},"last_name": …