I have a large dataset like so: | SEQ_ID|RESULT| +-------+------+ |3462099|239.52| |3462099|239.66| |3462099|239.63| |3462099|239.64| |3462099|239.57| |3462099|
I am trying to start up Spark on my machine. But when I try to launch using spark-shell I get an error that there is an illegal character in the path. Caused by
My Structured Spark Streaming program is to read JSON data from Kafka and write to HDFS in JSON format. I am able to save JSON to HDFS but it saves the JSON st
I have a process using the following select statement in sql server SELECT HASHBYTES('SHA1', CAST('4100119300' AS NVARCHAR(100))) AS StringConverted This give
I get the below error while reading data from delta lake. The detailed log on azure shows its failing to read .tmp file from the _delta_log folder. I have tried
How to capture a Glue job's arguments by position rather than using the getResolvedOptions function and passing the arguments as key value pairs?
I am trying to debug my spark UI, and in the SQL tab of spark UI getting this red mark on filter description, trying to figure out what does it mean. Spark UI s
I have a spark cluster in kubernetes based on image mcr.microsoft.com/mmlspark/spark2.4:v4. Spark version version 2.4.0 Using Scala version 2.11.12, OpenJDK
I wonder how this query is executing successfully. As we know 'having' clause execute before the select one then here how alias name used in 'select' statement
I'm trying to store the tweets from my kafka cluster into Elastic Search. Initially, I set the output format to be 'org.elasticsearch.spark.sql'. But , it creat
I'm using scala spark and have a DataFrame: Source | Column1 | Column2 A ... ... B ... ... B ... ... C ...
I have multiple JSON files (10 TB ~) on a S3 bucket, and I need to organize these files by a date element present in every json document. What I think that my c
This is a issue I am facing with Spark 3.0, worked before without even specifying a format. Now, I tried explicitly specifying the format, but it still doesn't
I am trying to find the best way to parse a json file with inconsistent schema (but the schema of the same type is known and consistent) in spark in order to sp
New to azure synapse, trying to create database (Managed table) from synapse notebook. I also added Storage blob data contributor for synapse workspace and spec
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[Spark RDD] Find the single row that has the highest count and for that row report the month, count and hashtag name. Print the result to the terminal output us
when I'm doing spark-submit using this command on Cloudera **time spark-submit \ --deploy-mode client \ --conf spark.app.name='XXXxxxxxx' --conf spark.master=l
I have a Spark Table, which contains 400+ millions records/rows. I used spark.table to convert it into a DF. The DF looks like this below id pub_date
Can anyone help how multimap_agg function in SQL and can be used in spark sql