Commit graph

21 commits

Author SHA1 Message Date
Nick Alexander
79fa0994b3 Part 3: Handle ground. (#469) r=nalexander,rnewman
This version removes nalexander's lovely matrix code. It turned out
that scalar and tuple bindings are sufficiently different from coll
and rel -- they can directly apply as values in the query -- that
there was no point in jumping through hoops to turn those single
values into a matrix.

Furthermore, I've standardized us on a Vec<TypedValue>
representation for rectangular matrices, which should be much
more efficient, but would have required rewriting that code.

Finally, coll and rel are sufficiently different from each other
-- coll doesn't require processing nested collections -- that
my attempts to share code between them fell somewhat flat. I had
lots of nice ideas about zipping together cycles and such, but
ultimately I ended up with relatively straightforward, if a bit
repetitive, code.

The next commit will demonstrate the value of this work -- tests
that exercised scalar and tuple grounding now collapse down to
the simplest possible SQL.
2017-06-09 20:18:31 -07:00
Nick Alexander
d04d22a6a6 Part 2: refactor projector to be reusable from translator.
This allows the translator to also use bound values in nested queries.
2017-06-09 20:16:39 -07:00
Richard Newman
daca8def57 UUIDs and instants. Fixes #44, #45, #426, #427. (#438) r=nalexander
* Pre: unused import in translate.rs.

* Part 2: take a dependency on rusqlite for query arguments.

* Part 1: flatten V2 schema into V1. Add UUID and URI.

Bump expected ident and bootstrap datom count in tests.

* Part 5: parse edn::Value::Uuid.

* Part 3: extend ValueType and TypedValue to include Uuid.

* Part 4: add Uuid to query arguments.

* Part 6: extend db to support Uuid.

* Part 8: add a tx-parser test for #f NaN and #uuid.

* Part 7: parse and algebrize UUIDs in queries.

* Part 1: parse #inst in EDN and throughout query engine.

* Part 3: handle instants in db.

* Part 2: instants never matches integers in queries.

* Part 4: use DateTime for tx_instants.

* Add a test for adding and querying UUIDs and instants.

* Review comments.
2017-04-28 20:11:55 -07:00
Emily Toop
bd389d2f0d Parse and Algebrize not & not-join. (#302) (Closes #303, #389, #422 ) r=rnewman
* Part 1 - Parse `not` and `not-join`

* Part 2 - Validate `not` and `not-join` pre-algebrization

* Address review comments rnewman.
* Remove `WhereNotClause` and populate `NotJoin` with `WhereClause`.
* Fix validation for `not` and `not-join`, removing tests that were invalid.
* Address rustification comments.

* Rebase against `rust` branch.

* Part 3 - Add required types for NotJoin.
* Implement `PartialEq` for
`ConjoiningClauses` so `ComputedTable` can be included inside `ColumnConstraint::NotExists`

* Part 4 - Implement `apply_not_join`

* Part 5 - Call `apply_not_join` from inside `apply_clause`

* Part 6 - Translate `not-join` into `NOT EXISTS` SQL

* Address review comments.

* Rename `projected` to `unified` to better describe the fact that we are not projecting any variables.
* Check for presence of each unified var in either `column_bindings` or `input_bindings` and bail if not there.
* Copy over `input_bindings` for each var in `unified`.
* Only copy over the first `column_binding` for each variable in `unified` rather than the whole list.
* Update tests.

* Address review comments.

* Make output from Debug for NotExists more useful

* Clear up misunderstanding. Any single failing clause in the not will cause the entire not to be considered empty

* Address review comments.

* Remove Limit requirement from cc_to_exists.
* Use Entry.or_insert instead of matching on the entry to add to column_bindings.
* Move addition of value_bindings to before apply_clauses on template.
* Tidy up tests with some variable reuse.
* Addressed nits,

* Address review comments.

* Move addition of column_bindings to above apply_clause.
* Update tests.

* Add test to ensure that unbound vars fail

* Improve test for unbound variable to check for correct variable and error

* address nits
2017-04-28 10:44:11 +01:00
Richard Newman
bc63744aba Add :limit to queries (#420) r=nalexander
* Pre: put query parts in alphabetical order.
* Pre: rename 'input' to 'query' in translate tests.
* Part 1: parse :limit.
* Part 2: validate and escape variable parameters in SQL.
* Part 3: algebrize and translate limits.
2017-04-19 16:16:19 -07:00
Richard Newman
5cd53aff44 Pre: unused imports. 2017-04-18 13:19:50 -07:00
Richard Newman
35d73d5541 Implement :order. (#415) (#416) r=nalexander
This adds an `:order` keyword to `:find`.

If present, the results of the query will be an ordered set, rather than
an unordered set; rows will appear in an ordered defined by each
`:order` entry.

Each can be one of three things:

- A var, `?x`, meaning "order by ?x ascending".
- A pair, `(asc ?x)`, meaning "order by ?x ascending".
- A pair, `(desc ?x)`, meaning "order by ?x descending".

Values will be ordered in this sequence for asc, and in reverse for desc:

1. Entity IDs, in ascending numerical order.
2. Booleans, false then true.
3. Timestamps, in ascending numerical order.
4. Longs and doubles, intermixed, in ascending numerical order.
5. Strings, in ascending lexicographic order.
6. Keywords, in ascending lexicographic order, considering the entire
   ns/name pair as a single string separated by '/'.

Subcommits:

Pre: make bound_value public.
Pre: generalize ErrorKind::UnboundVariable for use in order.
Part 1: parse (direction, var) pairs.
Part 2: parse :order clause into FindQuery.
Part 3: include order variables in algebrized query.

We add order variables to :with, so we can reuse its type tag projection
logic, and so that we can phrase ordering in terms of variables rather
than datoms columns.

Part 4: produce SQL for order clauses.
2017-04-17 11:30:31 -07:00
Richard Newman
d8075aa07d Part 3: finish expansion and translation of complex or.
This commit turns complex `or` -- `or`s in which not all variables are
unified, or in which not all arms are the same shape -- into a
computed table.

We do this by building a template CC that shares some state with the
destination CC, applying each arm of the `or` to a copy of the template
as if it were a standalone query, then building a projection list and
creating a `ComputedTable::Union`. This is pushed into the destination
CC's `computed_tables` list.

Finally, the variables projected from the UNION are bound in the
destination CC, so that unification occurs, and projection of the
outermost query can use bindings established by the `or-join`.

This commit includes projection of type codes from heterogeneous `UNION`
arms: we compute a list of variables for which a definite type is
unknown in at least one arm, and force all arms to project either a type
tag column or a fixed type. It's important that each branch of a UNION
project the same columns in the same order, hence the projection of
fixed values.

The translator is similarly extended to project the type tag column name
or the known value_type_tag to support this.

Review comment: clarify union type extraction.
2017-04-12 19:21:45 -07:00
Richard Newman
08d2c613a4 Part 2: expand the definition of a table to include computed tables.
This commit:

- Defines a new kind of column, distinct from the eavt columns in
  `DatomsColumn`, to model the rows projected from subqueries. These
  always name one of two things: a variable, or a variable's type tag.
  Naturally the two cases are thus `Variable` and `VariableTypeTag`.
  These are cheap to clone, given that `Variable` is an `Rc<String>`.
- Defines `Column` as a wrapper around `DatomsColumn` and
  `VariableColumn`. Everywhere we used to use `DatomsColumn` we now
  allow `Column`: particularly in constraints and projections.
- Broadens the definition of a table list in the intermediate
  "query-sql" representation to include a SQL UNION. A UNION is
  represented as a list of queries and an alias.
- Implements translation from a `ComputedTable` to the query-sql
  representation. In this commit we only project vars, not type tags.

Review comment: discuss bind_column_to_var for ValueTypeTag.
Review comment: implement From<Vec<T>> for ConsumableVec<T>.
2017-04-12 19:21:33 -07:00
Richard Newman
b693385495 Part 5: eliminate is_known_empty in favor of empty_because and an accessor. 2017-04-07 12:46:26 -07:00
Richard Newman
0639c94468 Part 2: implement simple or. 2017-04-07 12:46:25 -07:00
Richard Newman
997df0b776 Part 1: introduce ColumnIntersection and ColumnAlternation.
This provides a limited form of OR and AND for column constraints, allowing
simple 'or-join' queries to be expressed on a single table alias.
2017-03-30 19:13:19 -07:00
Richard Newman
88df7b3b33 Correctly generate DISTINCT and LIMIT. (#386) r=nalexander 2017-03-22 14:02:00 -07:00
Richard Newman
97749833d0 Algebrize and translate numeric constraints. (#306) r=nalexander 2017-03-22 10:19:47 -07:00
Richard Newman
bf38105fef (#362) Part 4: handle unknown attributes by expanding type codes. r=nalexander
Also, don't run any SQL at all if an algebrized query is known to return no results.
2017-03-08 17:44:27 -08:00
Richard Newman
e898df8842 Implement basic query limits. (#361) r=nalexander 2017-03-08 17:41:42 -08:00
Richard Newman
70b112801c Implement projection and querying. (#353) r=nalexander
* Add a failing test for EDN parsing '…'.
* Expose a SQLValueType trait to get value_type_tag values out of a ValueType.
* Add accessors to FindSpec.
* Implement querying.
* Implement rudimentary projection.
* Export mentat_db::new_connection.
* Export symbols from mentat.
* Add rudimentary end-to-end query tests.
2017-03-06 14:40:10 -08:00
Richard Newman
d7f323d15d Wire in the start of querying and error_chain at top level. (#349) r=nalexander 2017-02-27 16:17:25 -08:00
Richard Newman
b2f22952c1 Convert mentat_sql to use error-chain. r=nalexander 2017-02-27 16:16:49 -08:00
Richard Newman
5e3cdd1fc2 Implement query-translator. (#301) r=nalexander 2017-02-23 18:39:49 -08:00
Richard Newman
9ecd02ef95 Begin serializing queries to SQL. r=nalexander 2017-02-17 17:54:07 -08:00