- Related to #9486
- Ensures that even though an integer column in Snowflake is represented by `Decimal` type, if the values are small enough, they are materialized as `Integer`.
- If the values are larger, they are still read in as `Decimal`.
- Adds tests for some other `Decimal` edge cases (various precisions and scales), and for `Float`.
- Related to #9486
- Fixes types in literal tables that are used throughout the tests
- Tries to makes testing faster by disabling some edge cases, trying batching some queries, re-using the main connection and trying to re-use tables more
- Implements date/time type mapping and operations for Snowflake
- Updates type mapping to correctly reflect what Snowflake does
- Disables warnings for Integer->Decimal coercion as that's too annoying and implicitly understood in Snowflake
- Allows to select a Decimal column with `..By_Type ..Integer` (only in Snowflake backend) because the Decimal column there is its 'de-facto' Integer column replacement.
- Removes `First` and `Last` from the `Standard.Base` exports.
- Enable auto-scoping for all `Index_Sub_Range` and `Text_Sub_Range`.
- Update all use of those methods to use auto-scoping.
- Part of #9486
- Fixing our tests to not rely on deterministic ordering of created Tables in Database backends
- Before, SQLite and Postgres used to mostly return rows in the order they were inserted in, but Snowflake does not.
- Fixing various parts of Snowflake dialect.
- Part of #9486
- Building on top of initial work by @jdunkerley and finishing it
- Reverted the changes to the Postgres_Dialect from last Snowflake work and split the Snowflake_Dialect into a separate module.
- Moved from `rounding_decimal_places_not_allowed_for_floats` to `supports_float_round_decimal_places` (as too confusing).
- Added Snowflake_Dialect type.
- Extracted `Snowflake_Spec` into separate `Snowflake_Tests`
- It imports the common tests from `Table_Tests`.
- Some initial adaptations to make the snowflake dialect not-crash.
- Adding `Internals_Access` proxy to allow external implementations to access our internal data structures without directly exposing them to users. Users should not use these.
- Adding profiling of SQL to check performance.
