Nonstrict join between tow dataframes #87
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
For now, the key in dataframes those to be joined must be unique.
`
for (final List row : left) {
final Object name = leftIt.next();
final Object key = on == null ? name : on.apply(row);
if (leftMap.put(key, row) != null) {
throw new IllegalArgumentException("generated key is not unique: " + key);
}
}
`
But we just want to join two dataframe toghter, A has column 'dt' and B has column 'dt', then A and B can join based on 'dt' column. In this scenario, we should not force A has distinct date values..
So, I add a new API called nonStrictJoinOn to solve this problem.
FYI.