I have two Avro schema V1 and V2 which are read in spark as below:
import org.apache.spark.sql.avro.functions._
val jsonFormatSchema = new String(Files.readAllBytes(Paths.get("./examples/src/main/resources/V1.avsc")))
val df = spark
.readStream
…
If I have 100GB of avro dataset and I have the same dataset in ORC that is 10GB. If I read in the ORC data in Spark, does it consume less memory than the Avro dataset?
I was thinking since all the data gets loaded into memory and deserialized, maybe…
I am trying to read an avro file type. the following is the sample data source that I have found online to test my code:
https://github.com/Teradata/kylo/blob/master/samples/sample-data/avro/userdata1.avro
The following is my code (please assume…
I am new to Avro Schema. I had created the following schema based upon reference JSON but I am not able to create a serializer for this.
{
"name": "Name",
"type": "record",
"namespace": "NameSpace",
"fields": [
{
"name":…
When saving an RDD to S3 in AVRO, I get the following warning in the console:
Using standard FileOutputCommitter to commit work. This is slow and potentially unsafe.
I haven't been able to find a simple implicit such as saveAsAvroFile and…
I am trying to read data stored in a hive table in s3, covert it to Avro format and then consume the Avro records to build the final object and push it to a kafka topic. In the object I am trying to publish, I have a nested object that has fields…
I want to persist a very wide Spark Dataframe (>100'000 columns) that is sparsely populated (>99% of values are null) while keeping only non-null values (to avoid storage cost):
What is the best format for such use case (HBase, Avro, Parquet, ...)…
I am trying to read json file and write it do avro. I used PySpark StructType & StructField classes to programmatically specify the schema to the DataFrame. I am trying to read json file and write it to avro format with logicalType set to …
I have a daily job which converts avro to parquet.
Avro file per hour is 20G and is partitioned by year, month, day and hour
when I read the avro file like the way below,
spark.read.format("com.databricks.spark.avro").load(basePath).where($year=2020…
I'm running a test where I create a DataFrame, encode a field using to_avro() and then decode it using from_avro().
The initial (not-encoded) DataFrame's schema has got the StructField instance for the field I encode in Avro.
My goal is to use the…
I have a dataset A with schema A , also dataset B with Schema B. Both datasets A and B are mostly similar(have same columns ,but data types are different for only few), but have minor differences.One example being a column in dataset A has date…
I'm working on project where everyday I need to deal with tons of AVRO files. To extract the data from AVRO I use sparkSQL. To achieve this first I need to printSchema and then I need to select the fields to see the data. I want to automate this…
I have a dataframe with similar schema, I need to append the data into the AVRO file. I don't like to add the avro file into folder as a part. For your information, my AVRO file is not into the folder as a part. Can you please help me to solve the…
We are using avro for our schema definition. Is it possible to add field description for each of the fields in avro. I agree that we can add 'doc' at record level. we wanted to add description at a field level.
I am trying to use confluent schema reigstry with sparks from_avro function as per this doc.
I have the below imports:
"io.confluent" % "kafka-schema-registry-client" % "5.4.1",
"io.confluent" % "kafka-avro-serializer" % "5.4.1",
"org.apache.spark"…