You are running an OPTIMIZE ZORDER BY (AWS | Azure | GCP) command in Databricks SQL (AWS | Azure | GCP) when you get an Apache Spark exception error: Hilbert indexing can only be used on 9 or fewer columns.
Error in SQL statement: ExecutionException: org.apache.spark.SparkException: Hilbert indexing can only be used on 9 or fewer columns
OPTIMIZE ZORDER BY command has a hard limit of nine columns. This is by design.
You must reduce the number of columns to nine or less. The best practice is to use ZORDER on a maximum of three columns. When you use ZORDER on four or more columns, the effectiveness is reduced with each additional column used.
Use ZORDER on the most commonly used query predicate columns (the columns in the query "where" clause). Databricks recommends that you use ZORDER on high cardinality columns.