- Closes#7461 by introducing a `Date_Time_Formatter` type and making parsing date time formats more robust and safer.
- The default ('simple') set of patterns is slightly simplified and made case insensitive (except for `M/m` and `H/h`) to avoid the `YYYY` vs `yyyy` issues and make it less error prone.
- The `YYYY` now has the same meaning as `yyyy` in simple mode. The old meaning (week-based year) is moved to a _separate mode_, triggered by `Date_Time_Formatter.from_iso_week_date_pattern`.
- Full Java syntax, as well as custom-built Java `DateTimeFormatter` can also be used by `Date_Time_Formatter.from_java`.
- Text-based constants (e.g. `ISO_ZONED_DATE_TIME`) have now become methods on `Date_Time_Formatter`, e.g. `Date_Time_Formatter.iso_zoned_date_time`).
- Added a `FileSystemSPI` allowing protocol resolution to a target type.
- Separated `Input_Stream` and `Output_Stream` from `File` to allow use in other spaces.
- `File_Format` types `read_web` changed to be `read_stream` working with `InputStream`.
- Added directory listing to `Auto_Detect` allowing for `Data.read` to list a folder.
- Adjusted HTTP to return an `InputStream` not a `byte[]`:
- `Response_Body` adjusted to wrap an `InputStream`.
- Added ability to materialize to either and in-memory vector (<4KB) or a temporary file.
- `Data.fetch` will materialize if not a recognized mime-type.
- Added `HTTP_Error` to handle IO exceptions from the stream.
- `Excel_Format` now supports mime-type and reading a stream.
- `Excel_Workbook` can now get a `Excel_Section` using `read_section`.
- Added S3 APIs:
- `parse_uri`: splits an S3 URI into bucket and key.
- `list_objects`: list the items in a S3 bucket with specified prefix.
- `read_bucket`: list prefixes and keys with a delimiter in a S3 bucket with specified prefix.
- `head`: either head_bucket (tests existance) or head_object API (reads object meta data).
- `get_object`: gets an object from S3 returning as a `Response_Body`.
- Added `S3_File` type acting like a `File`:
- No support for writing in this PR.
- **ToDo:** recursive listing, glob filtering, exists, size.
- Fixed a few invalid type signature line.
- Moved `create` methods for `Postgres_Connection` and `SQLite_Connection` into type instead of module.
- Renamed `Column_Fetcher.Builder` to `Column_Fetcher_Builder`.
- Fixed bug with `select_into` in Dry Run mode creating permanent tables.
**ToDo:** Unit tests.
- Fixes#7354
- And also closes#7712
- Refactors how we handle numeric ops - ensuring that the 'kernels' are placed all in one place and selected based on storage types.
- Closes#6111
- Aligns semantics of handling Mixed columns.
- Now, if an operation like `iif` or `fill_nothing` is given a `Mixed` column, the result will also be `Mixed` regardless of the `inferred_precise_value_type`.
- Enables a few old tests that were pending but could be enabled since the types work is advanced enough.
- Closes#5159
- Now data downloaded from the database can keep the type much closer to the original type (like string length limits or smaller integer types).
- Cast also exposes these types.
- The integers are still all stored as 64-bit Java `long`s, we just check their bounds. Changing underlying storage for memory efficiency may come in the future: #6109
- Fixes#7565
- Fixes#7529 by checking for arithmetic overflow in in-memory integer arithmetic operations that could overflow. Adds a documentation note saying that the behaviour for Database backends is unspecified and depends on particular database.
Closes#7353
I introduce a new type `WithAggregatedProblems`, because `WithProblems` was too simple - it only allowed to hold a `List<Problem>` but `AggregatedProblems` is more than that. Ideally we shouldn't multiply entities like this too much. We should probably unify all to use `WithAggregatedProblems` - but after starting this, I realised it will likely just take too much effort to do for this little PR. So instead, I created a follow-up task for this: #7514
# Important Notes
#### The Plot
- there used to be two kinds of benchmarks: in Java and in Enso
- those in Java got quite a good treatment
- there even are results updated daily: https://enso-org.github.io/engine-benchmark-results/
- the benchmarks written in Enso used to be 2nd class citizen
#### The Revelation
This PR has the potential to fix it all!
- It designs new [Bench API](88fd6fb988) ready for non-batch execution
- It allows for _single benchmark in a dedicated JVM_ execution
- It provides a simple way to wrap such an Enso benchmark as a Java benchmark
- thus the results of Enso and Java benchmarks are [now unified](https://github.com/enso-org/enso/pull/7101#discussion_r1257504440)
Long live _single benchmarking infrastructure for Java and Enso_!
- Fixes#7412
- Also adds tests and fixes some more edge cases:
- Ensures correct handling of existing Database tables whose column names may be invalid from Enso perspective, or clashing from Enso perspective (e.g. for most DBs `ś` and `s\u0301` are different names, but for Enso they are basically the same so this would cause issues - thus Enso now renames such columns when accessed (still using the correct column reference in the generated SQL under the hood).
- Closes#5951
- Ensures any SQL warnings reported by the database through the JDBC driver are processed and forwarded to the user.
- These warnings show issues like the implicit name truncation that this PR is also solving. It's good to make sure they are visible as they can help avoid and understand unexpected problems. They should not show up in most standard workflows.
- Adds simple history to our REPL.
- Fixes#7231
- Cleans up vectorized operations to distinguish unary and binary operations.
- Introduces MixedStorage which may pretend to be a more specialized storage on demand.
- Ensures that operations request a more specialized storage on right-hand side to ensure compatibility with reported inferred storage type.
- Ensures that a dataflow error returned by an Enso callback in Java is propagated as a polyglot exception and can be caught back in Enso
- Tests for comparison of Mixed storages with each other and other types
- Started using `Set` for `Filter_Condition.Is_In` for better performance.
- ~~Migrated `Column.map` and `Column.zip` to use the Java-to-Enso callbacks.~~
- This does not forward warnings. IMO we should not be losing them. We can switch and add a ticket to fix the warnings, but that would be a regression (current implementation handles them correctly). Instead, we should first gain some ability to work with warnings in polyglot. I created a ticket to get this figured out #7371
- ~~Trying to avoid conversions when calling Enso functions from Java.~~
- Needs extra care as dataflow errors may not be handled right then. So only works for simple functions that should not error.
- Not sure how much it really helps. [Benchmarks](https://github.com/enso-org/enso/pull/7270#issuecomment-1635618393) suggested it could improve the performance quite significantly, but the practical solution is not exactly the same as the one measured, so we may have to measure and tune it to get the best results.
- Created #7378 to track this.
The added benchmark is a basis for a performance investigation.
We compare the performance of the same operation run in Java vs Enso to see what is the overhead and try to get the Enso operations closer to the pure-Java performance.
- Adds `Column.date_diff` for computing date/time difference as integer multiply of some unit.
- Adds `Column.date_add` for shifting date/time by a unit.
- Adds `Column.date_part` for extracting various parts of the date/time value as integer.
- Adds widgets for the 3 methods above whose content depends on the column value type.
- Adds shorthands: `Column.hour`, `Column.minute` and `Column.second` to extract these date parts.
- Extends `Time_Period` with support for milli-, micro- and nano- seconds; and adapts functions taking `Time_Period` to support these wherever possible.
- Removed `module` argument from `enso_project` (new `Project_Description.new` API).
- Removed the custom option from date and time parse/format dropdowns.
- The `format` dropdown uses the value to create the dropdown. (Screenshot below)
- Removed `StorageType` coalescing rules and replaced them with simpler logic in `ObjectStorage`.
- Update signature for `add_row_number` and add aliases.
- Add type detection for `Mixed` columns when calling column functions.
- Excel uses column name for missing headers.
- Add aliases for parse functions on text.
- Adjust `Date`, `Time_Of_Day` and `Date_Time` parse functions to not take `Nothing` anymore and provide dropdowns.
- Removed built-in parses.
- All support Locale.
- Add support for missing day or year for parsing a Date.
- All will trim values automatically.
- Added ability to list AWS profiles.
- Added ability to list S3 buckets.
- Workaround for Table.aggregate so default item added works.
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`.
