I have schema from two dataset read from hdfs path and it is defined below: val df = spark.read.parquet(“/path”) df.printSchema() Answer Since your schema file seems like a CSV : use isSchemaMatching for further logic
Tag: dataframe
UnsupportedOperationException while creating a dataset manually using Java SparkSession
I am trying to create a Dataset from Strings like below in my JUnit test. But I am seeing this below error: What am I missing here? My main method works fine, but this test is failing. Looks like something is not read from the classpath correctly. Answer I fixed it by excluding this below dependency from all dependencies related
Reading column from a CSV and save into a List<List> in java
I am trying to do a simple data frame project which can read, write and make changes from the imported CSV file. This is the CSV file content: I’m trying to read the file and then export the data into columns and rows. And this is the code that I had write: This is the output of the the code:
Spark – Divide int with column?
I’m trying to divide a constant with a column. I know I can do but how can I do (90).divide(df.col(“col1”)) (obviously this is incorrect). Thank you! Answer Use o.a.s.sql.functions.lit: or o.a.s.sql.functions.expr: