You can directly use thedf.columnslist to check if the column name exists. In PySpark,df.columnsis an attribute of a DataFrame that returns a list of the column names in the DataFrame. This attribute provides a straightforward way to access and inspect the names of all columns. Advertisements...
String columnName = properties.get(HologresJDBCConfigs.OPTIONAL_CHECK_AND_PUT_COLUMN); if (Objects.isNull(columnName)) { return null; } return true; } private static byte[] parseBytes(String hex) { try { // Postgres uses the Hex format to store the bytes. // The input string ...
from cuallee import Check, CheckLevel # WARN:0, ERR: 1 # Nulls on column Id check = Check(CheckLevel.WARNING, "Completeness") ( check .is_complete("id") .is_unique("id") .validate(df) ).show() # Returns a pyspark.sql.DataFrame...
在表中添加列:(语法:ALTER TABLE table_name ADD column_name datatype) 删除表中的列:(语法:ALTER TABLE table_name DROP COLUMN column_name) 注释:某些数据库系统不允许这种在数据库表中删除列的方式 (DROP COLUMN column_name)。 改变表中列的数据类型:(语法:ALTER TABLE table_name ALTER COLUMN column_...