Databricks

Handling Changing Schema in CDC DLT

We are building a DLT pipeline and the autoloader is handling schema evolution fine. However, further down the pipeline we are trying to load that streamed data with the apply_changes() function into a new table and, from the looks of it, doesn't see...

How to enforce schema check and benefit from badRecordsPath when using autoloader

We would like to have a robust reader that ensure that the data we read and write using the autoloader respect the schema which is provided to the autoloader reader.We also provide the option "badRecordsPath" (refer to https://docs.databricks.com/spa...

Schema evolution issue

Hi AllI am loading some data using auto loader but am having trouble with Schema evolution.A new column has been added to the data I am loading and I am getting the following error:StreamingQueryException: Encountered unknown field(s) during parsing:...

Invalid field schema option provided-DatabricksDeltaLakeSinkConnector

I have configured a Delta Lake Sink connector which reads from an AVRO topic and writes to the Delta lake . I have followed the docs and my config looks like below .  { "name": "dev_test_delta_connector", "config": {  "topics": "dl_test_avro",  "inp...

autoloader schema inference date column

I have hire_date and term_dates in the "MM/dd/YYYY" format in underneath csv files. Schema hint "cloudFiles.schemaHints" : "Hire_Date Date,Term_Date Date" - push data into _rescued_data column due to conversion failure. I am looking out solution to c...

Is the delta schema enforcement flexible?

 In the sense that, is it possible to only check for column names or column data types or will it always be both?

is there a way to remove a structfield from schema by name instead of index?

how to infer csv schema default all columns like string using spark- csv?

I am using spark- csv utility, but I need when it infer schema all columns be transform in string columns by default. Thanks in advance.