[Data Synchronization/Matching] Delegate to Spark for checking existence of columns in the given dataframes #515
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…nce of columns in the given dataframes - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
rdsharma26
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Oct 27, 2023
…nce of columns in the given dataframes (#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
javierdlrm
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Oct 31, 2023
…nce of columns in the given dataframes (awslabs#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
rdsharma26
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Nov 1, 2023
…nce of columns in the given dataframes (#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
rdsharma26
added a commit
that referenced
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Apr 16, 2024
…nce of columns in the given dataframes (#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
rdsharma26
added a commit
that referenced
this pull request
Apr 16, 2024
…nce of columns in the given dataframes (#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
rdsharma26
added a commit
that referenced
this pull request
Apr 16, 2024
…nce of columns in the given dataframes (#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
rdsharma26
added a commit
that referenced
this pull request
Apr 17, 2024
…nce of columns in the given dataframes (#515) - Prior to this change, we were doing case sensitive equality checks of non-key columns. - This makes the utility more restrictive, as Spark does not care about the casing of column names. - With this change, we rely on Spark to check if a column exists in the given dataframe. If Spark can find the column, we can proceed with the rest of the check.
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