Related to #6912
It essentially solves it by removing any builtins that would take an EnsoDate/EnsoTimeOfDay/EnsoTimeZone and replacing them with Java utils that do the same operation.
This is not a proper solution - the builtin conversion is still invalid for the date/time types - but at this moment we may just no longer use the invalid conversion so it is much less of an issue. We still need to be aware of this if we want to introduce builtins taking date/time in the future.
Closes#5227
# Important Notes
- This lays first steps towards #6292 - we get pure Enso variants of MultiValueKey.
- Another part refactors `LongStorage` into `AbstractLongStorage` allowing it to provide alternative implementations of the underlying storage, in our case `LongRangeStorage` generating the values ad-hoc and `LongConstantStorage` - currently unused but in the future it can be adapted to support constant columns (once we implement similar facilities for other types).
Add format to the in-memory Column
# Important Notes
Also updates .format in date types.
Some rearrangement of date formatting builtins / Java libraries.
- Add dropdown to tokenize and split `column`.
- Remove the custom `Join_Kind` dropdown.
- Adjust split and tokenize names to start numbering from 1, not 0.
- Add JS_Object serialization for Period.
- Add `days_until` and `until` to `Date`.
- Add `Date_Period.Day` and create `next` and `previous` on `Date`.
- Use simple names with `File_Format` dropdown.
- Avoid using `Main.enso` based imports in `Standard.Base.Data.Map` and `Standard.Base.Data.Text.Helpers`.
- Remove an incorrect import from `Standard.Database.Data.Table`.
From #6587:
A few small changes, lots of lines because this affected lots of tests:
- `Table.join` now defaults to `Join_Kind.Left_Outer`, to avoid losing rows in the left table unexpectedly. If the user really wants to have an Inner join, they can switch to it.
- `Table.join` now defaults to joining columns by name not by index - it looks in the right table for a column with the same name as the first column in left table.
- Missing Input Column errors now specify which table they refer to in the join.
- The unique name suffix in column renaming / default column names when loading from file is now a space instead of underscore.
- Adjusted `Context.is_enabled` to support default argument (moved built in so can have defaults).
- Made `environment` case-insensitive.
- Bug fix for play button.
- Short hand to execute within an enabled context.
- Forbid file writing if the Output context is disabled with a `Forbidden_Operation` error.
- Add temporary file support via `File.create_temporary_file` which is deleted on exit of JVM.
- Execution Context first pass in `Text.write`.
- Added dry run warning.
- Writes to a temporary file if disabled.
- Created a `DryRunFileManager` which will create and manage the temporary files.
- Added `format` dropdown to `File.read` and `Data.read`.
- Renamed `JSON_File` to `JSON_Format` to be consistent.
(still to unit test).
* Rename makeUnique overloads to avoid issue when Nothing is passed.
Suspend warnings when building the output table to avoid mass warning duplication.
* Add test for mixed invalid names.
Adjust so a single warning attached.
* PR comments.
Follow up of #6298 as it grew too much. Adds the needed typechecks to aggregate operations. Ensures that the DB operations report `Floating_Point_Equality` warning consistently with in-memory.
- Add `replace` with same syntax as on `Text` to an in-memory `Column`.
- Add `trim` with same syntax as on `Text` to an in-memory `Column`.
- Add `trim` to in-database `Column`.
- Added `is_supported` to dialects and exposed the dialect consistently on the `Connection`.
- Add `write_table` support to `JSON_File` allowing `Table.write` to write JSON.
- Updated the parsing for integers and decimals:
- Support for currency symbols.
- Support for brackets for negative numbers.
- Automatic detection of decimal points and thousand separators.
- Tighter rules for scientific and thousand separated numbers.
- Remove `replace_text` from `Table`.
- Remove `write_json` from `Table`.
- `Process.run` now returns a `Process_Result` allowing the easy capture of stdout and stderr.
- Joining a column with a column name does not warn if adding just the prefix.
- Stop the table viz from changing case and adding spaces to the headers.
This is the first part of the #5158 umbrella task. It closes#5158, follow-up tasks are listed as a comment in the issue.
- Updates all prototype methods dealing with `Value_Type` with a proper implementation.
- Adds a more precise mapping from in-memory storage to `Value_Type`.
- Adds a dialect-dependent mapping between `SQL_Type` and `Value_Type`.
- Removes obsolete methods and constants on `SQL_Type` that were not portable.
- Ensures that in the Database backend, operation results are computed based on what the Database is meaning to return (by asking the Database about expected types of each operation).
- But also ensures that the result types are sane.
- While SQLite does not officially support a BOOLEAN affinity, we add a set of type overrides to our operations to ensure that Boolean operations will return Boolean values and will not be changed to integers as SQLite would suggest.
- Some methods in SQLite fallback to a NUMERIC affinity unnecessarily, so stuff like `max(text, text)` will keep the `text` type instead of falling back to numeric as SQLite would suggest.
- Adds ability to use custom fetch / builder logic for various types, so that we can support vendor specific types (for example, Postgres dates).
# Important Notes
- There are some TODOs left in the code. I'm still aligning follow-up tasks - once done I will try to add references to relevant tasks in them.
Enables `distinct`, `aggregate` and `cross_tab` to use the Enso hashing and equality operations.
Also, I rewired the way the ObjectComparators are obtained in polyglot code to be more consistent.
Add Comparator for `Day_Of_Week`, `Header`, `SQL_Type`, `Image` and `Matrix`.
Also, removed the custom `==` from these types as needed. (Closes#5626)
Closes#5151 and adds some additional tests for `cross_tab` that verify duplicated and invalid names.
I decided that for empty or `Nothing` names, instead of replacing them with `Column` and implicitly losing connection with the value that was in the column, we should just error on such values.
To make handling of these easier, `fill_empty` was added allowing to easily replace the empty values with something else.
Also, `{is,fill}_missing` was renamed to `{is,fill}_nothing` to align with `Filter_Condition.Is_Nothing`.
Adds a common project that allows sharing code between the `runtime` and `std-bits`.
Due to classpath separation and the way it is compiled, the classes will be duplicated - we will have one copy for the `runtime` classpath and another copy as a small JAR for `Standard.Base` library.
This is still much better than having the code duplicated - now at least we have a single source of truth for the shared implementations.
Due to the copying we should not expand this project too much, but I encourage to put here any methods that would otherwise require us to copy the code itself.
This may be a good place to put parts of the hashing logic to then allow sharing the logic between the `runtime` and the `MultiValueKey` in the `Table` library (cc: @Akirathan).
Follow-up to #5113 - I add some more edge case tests as we discussed with @jdunkerley
When debugging some quoting issues, I also realised the current `Mismatched_Quote` error provided not enough information. So I amended it to at least include some context indicating which was the 'offending' cell.
- Fix issue with Geo Map viz.
- Handle invalid format strings better in `Data_Formatter`.
- New constants for the ISO format strings (and a special ENSO_ZONED_DATE_TIME)
- Consistent Date Time format for parsing in all places.
- Avoid throwing exception in datetime parsing.
- Support for milliseconds (well nanoseconds) in Date_Time and Time_Of_Day.
- `Column.map` stays within Enso.
- Allow `Aggregate_Column.Group_By` in `cross_tab` group_by parameter.
Closes#5113
Fixes a bug where read-only files would be overwritten if File.write was used in backup mode, and added tests to avoid such regression. To implement it, introduced a `is_writable` property on `File`.
- Adjust Excel Workbook write behaviour.
- Support Nothing / Null constants.
- Deduce the type of arithmetic operations and `iif`.
- Allow Date_Time constants, treating as local timezone.
- Removed the `to_column_name` and `ensure_sane_name` code.
- Updates the `rename_columns` API.
- Add `first_row`, `second_row` and `last_row` to the Table types.
- New option for reading only last row of ResultSet.
- Updated `Widget.Vector_Editor` ready for use by IDE team.
- Added `get` to `Row` to make API more aligned.
- Added `first_column`, `second_column` and `last_column` to `Table` APIs.
- Adjusted `Column_Selector` and associated methods to have simpler API.
- Removed `Column` from `Aggregate_Column` constructors.
- Added new `Excel_Workbook` type and added to `Excel_Section`.
- Added new `SQLiteFormatSPI` and `SQLite_Format`.
- Added new `IamgeFormatSPI` and `Image_Format`.
Closes#5109
# Important Notes
- Currently the tests pass for the in-memory parts of Common_Table_Operations, but still some stuff not working on DB backends - in progress.
- Fixes the display of Date, Time_Of_Day and Date_Time so doesn't wrap.
- Adjust serialization of large integer values for JS and display within table.
- Workaround for issue with using `.lines` in the Table (new bug filed).
- Disabled warning on no specified `separator` on `Concatenate`.
Does not include fix for aggregation on integer values outside of `long` range.
Fixes https://www.pivotaltracker.com/story/show/184073099
# Important Notes
- Since now the only operator on columns for division, `/`, returns floats, it may be worth creating an additional `div` operator exposing integer division. But that will be done as a separate task aligning column operator APIs.
Implements https://www.pivotaltracker.com/story/show/184032869
# Important Notes
- Currently we get failures in Full joins on Postgres which show a more serious problem - amending equality to ensure that `[NULL = NULL] == True` breaks hash/merge based indexing - so such joins will be extremely inefficient. All our joins currently rely on this notion of equality which will mean all of our DB joins will be extremely inefficient.
- We need to find a solution that will support nulls and still work OK with indices (but after exploring a few approaches: `COALESCE(a = b, a IS NULL AND b is NULL)`, `a IS NOT DISTINCT FROM b`, `(a = b) OR (a IS NULL AND b is NULL)`; all of which did not work (they all result in `ERROR: FULL JOIN is only supported with merge-joinable or hash-joinable join conditions`) I'm less certain that it is possible. Alternatively, we may need to change the NULL semantics to align it with SQL - this seems like likely the simpler solution, allowing us to generate simple, reliable SQL - the NULL=NULL solution will be cornering us into nasty workarounds very dependent on the particular backend.
PR adds a flag to `Text` implementation tracking whether it is in a FCD normal form. Then this information can be used in the `Normalizer.compare` method.
| Benchmark name | Old (ms) | With flag (ms)
| --- | --- | ---
| Unicode very short | 40.29 | 40.04
| Unicode medium | 9.07 | 1.99
| Unicode big - random | 115.39 | 0.35
| Unicode big - early difference | 107.02 | 0.54
| Unicode big - late difference | 749.81 | 94.73
| ASCII very short | 28.13 | 31.13
| ASCII medium | 4.58 | 2.26
| ASCII big - random | 42.68 | 0.26
| ASCII big - early difference | 30.91 | 0.32
| ASCII big - late difference | 66.29 | 42.72
Full benchmark output.
[bench_old.txt](https://github.com/enso-org/enso/files/10325202/bench_old.txt)
[bench_new.txt](https://github.com/enso-org/enso/files/10325201/bench_new.txt)
