I am working on Delta table using Databricks on Azure.
The Delta table contains about 100 million records with many columns. One column data type of which is String, but containing large numbers (BIGINT). There are just some records that have some random non-numeric values.
Question: Is there any way to Select these non-numeric records from this table via Databricks SQL notebook?
Data Example:
| A | B | C | D | E | ... |
|---|---|---|---|---|---|
| '838472910' | ... | ... | ... | ... | ... |
| '392018' | ... | ... | ... | ... | ... |
| '10293849021' | ... | ... | ... | ... | ... |
| 'NULL' | ... | ... | ... | ... | ... |
| '9384038' | ... | ... | ... | ... | ... |
| '21314' | ... | ... | ... | ... | ... |
| 'UNMAPPED' | ... | ... | ... | ... | ... |
| '3840594739' | ... | ... | ... | ... | ... |
| 'UNIDENTIFIED' | ... | ... | ... | ... | ... |
| '29380072' | ... | ... | ... | ... | ... |
| '592812012' | ... | ... | ... | ... | ... |
| '8432178930' | ... | ... | ... | ... | ... |
| 'EMPTYVALUE' | ... | ... | ... | ... | ... |