WebJan 26, 2024 · yes, I can read from notebook with DBR 6.4, when I specify this path: wasbs: REDACTED_LOCAL_PART@blobStorageName. blob. core. windows. net / cook / processYear = 2024 / processMonth = 12 / processDay = 30 / processHour = 18; but the same using DBR 6.4 from spark-submit, it fails again.. each time complaining of different … WebMay 31, 2024 · Find the Parquet files and rewrite them with the correct schema. Try to read the Parquet dataset with schema merging enabled: %scala spark.read.option("mergeSchema", "true").parquet(path)

manifest is not a Parquet file. expected magic number #736 - Github

WebCommand, I used spark.sql command to read table data, where data is getting stored as parquet format. I am trying to read data from dbfs location, its a parquet file only. I have cross checked with by doing ls command file is present. WebOct 15, 2024 · in a way i understood what is wrong in my scenario, I am including an new column into the schema after reading it from the json file, but that is not present in the … gsr technology for weight loss

Apache Spark job fails with Parquet column cannot be converted …

WebHi Everyone, We have ETL job running in Databricks and writing the data back to blob storage, Now we have created a table using azure table storage and would like to import the same data (Databricks output) to table storage. WebApr 21, 2024 · Describe the problem. When upgrading from Databricks 9.1 LTS (includes Apache Spark 3.1.2, Scala 2.12) to 10.4 LTS (includes Apache Spark 3.2.1, Scala 2.12), … WebApr 10, 2024 · Now to convert this string column into map type, you can use the code similar to the one shown below: df.withColumn ("value",from_json (df ['container'],ArrayType (MapType (StringType (), StringType ())))).show (truncate=False) Share. Improve this answer. Follow. financial aid deadline for fall 2023