Searchlight - Genie

Missing docstring for connect.

Missing docstring for disconnect.

Missing docstring for connection.

Missing docstring for UnsupportedException.

Missing docstring for DataFrames.DataFrame.

Missing docstring for find.

Missing docstring for onereduce.

Missing docstring for findone.

Base.one - Function

one(x)
one(T::type)

Return a multiplicative identity for x: a value such that one(x)*x == x*one(x) == x. Alternatively one(T) can take a type T, in which case one returns a multiplicative identity for any x of type T.

If possible, one(x) returns a value of the same type as x, and one(T) returns a value of type T. However, this may not be the case for types representing dimensionful quantities (e.g. time in days), since the multiplicative identity must be dimensionless. In that case, one(x) should return an identity value of the same precision (and shape, for matrices) as x.

If you want a quantity that is of the same type as x, or of type T, even if x is dimensionful, use oneunit instead.

See also the identity function, and I in LinearAlgebra for the identity matrix.

Examples

julia> one(3.7)
1.0

julia> one(Int)
1

julia> import Dates; one(Dates.Day(1))
1

source

Missing docstring for randone.

Base.all - Function

all(itr) -> Bool

Test whether all elements of a boolean collection are true, returning false as soon as the first false value in itr is encountered (short-circuiting). To short-circuit on true, use any.

If the input contains missing values, return missing if all non-missing values are true (or equivalently, if the input contains no false value), following three-valued logic.

See also: all!, any, count, &, , &&, allunique.

Examples

julia> a = [true,false,false,true]
4-element Vector{Bool}:
 1
 0
 0
 1

julia> all(a)
false

julia> all((println(i); v) for (i, v) in enumerate(a))
1
2
false

julia> all([missing, false])
false

julia> all([true, missing])
missing

source

all(p, itr) -> Bool

Determine whether predicate p returns true for all elements of itr, returning false as soon as the first item in itr for which p returns false is encountered (short-circuiting). To short-circuit on true, use any.

If the input contains missing values, return missing if all non-missing values are true (or equivalently, if the input contains no false value), following three-valued logic.

Examples

julia> all(i->(4<=i<=6), [4,5,6])
true

julia> all(i -> (println(i); i < 3), 1:10)
1
2
3
false

julia> all(i -> i > 0, [1, missing])
missing

julia> all(i -> i > 0, [-1, missing])
false

julia> all(i -> i > 0, [1, 2])
true

source

all(A; dims)

Test whether all values along the given dimensions of an array are true.

Examples

julia> A = [true false; true true]
2×2 Matrix{Bool}:
 1  0
 1  1

julia> all(A, dims=1)
1×2 Matrix{Bool}:
 1  0

julia> all(A, dims=2)
2×1 Matrix{Bool}:
 0
 1

source

all(p, A; dims)

Determine whether predicate p returns true for all elements along the given dimensions of an array.

Examples

julia> A = [1 -1; 2 2]
2×2 Matrix{Int64}:
 1  -1
 2   2

julia> all(i -> i > 0, A, dims=1)
1×2 Matrix{Bool}:
 1  0

julia> all(i -> i > 0, A, dims=2)
2×1 Matrix{Bool}:
 0
 1

source

Missing docstring for first.

Missing docstring for last.

Missing docstring for save.

Missing docstring for save!.

Missing docstring for save!!.

Missing docstring for _save!!.

Missing docstring for updatewith!.

Missing docstring for convertmethod.

Missing docstring for booltypes.

Missing docstring for autoconvert.

Missing docstring for updatewith!!.

Missing docstring for updatewith.

Missing docstring for createwith.

Missing docstring for updateby_or_create.

SearchLight.update_or_create - Function

update_or_create(m::T; ignore = Symbol[], skip_update = false, filters...)::T where {T<:AbstractModel}

Examples

julia>

Missing docstring for findone_or_create.

SearchLight.to_models - Function

to_models(m::Type{T}, df::DataFrames.DataFrame)::Vector{T} where {T<:AbstractModel}

Return an array of type Model

Examples

julia> DataFrame(Stat, SQLWhereExpression("date >= ? AND date <= ?", startdate, enddate), order=["stats.date"])
8160×9 DataFrame
  Row │ stats_id  stats_package_uuid                 stats_package_name   stats_status  stats_region  stats_date  stats_request_count  stats_year  stats_month
      │ Int64     String                             String               Int64         String        String      Int64                Int64       String
──────┼────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
    1 │        1  00000000-1111-2222-3333-44444444…  REPLTreeViews                 200  cn-northeast  2021-11-25                    1        2021  2021-11
    2 │       17  00701ae9-d1dc-5365-b64a-a3a3ebf5…  BioAlignments                 200  au            2021-11-25                    1        2021  2021-11
    3 │      217  00701ae9-d1dc-5365-b64a-a3a3ebf5…  BioAlignments                 200  us-west       2021-11-25                    1        2021  2021-11
    4 │      314  009559a3-9522-5dbb-924b-0b6ed2b2…  XGBoost                       200  cn-northeast  2021-11-25                    1        2021  2021-11
    5 │      406  009559a3-9522-5dbb-924b-0b6ed2b2…  XGBoost                       200  eu-central    2021-11-25                    5        2021  2021-11
    6 │      461  009559a3-9522-5dbb-924b-0b6ed2b2…  XGBoost                       200  sa            2021-11-25                    1        2021  2021-11
    ⋮
 8160 │   623498  fff527a3-8410-504e-9ca3-60d5e79b…  SimpleANOVA                   200  eu-central    2021-11-25                    1        2021  2021-11

julia> SearchLight.to_models(Stat, DataFrame(Stat, SQLWhereExpression("date >= ? AND date <= ?", startdate, enddate), order=["stats.date"]))
8160-element Vector{Stat}:
 Stat
| KEY                  | VALUE                                |
|----------------------|--------------------------------------|
| date::Date           | 2021-11-25                           |
| id::DbId             | 1                                    |
| month::String        | 2021-11                              |
| package_name::String | REPLTreeViews                        |
| package_uuid::String | 00000000-1111-2222-3333-444444444444 |
| region::String       | cn-northeast                         |
| request_count::Int64 | 1                                    |
| status::Int64        | 200                                  |
| year::Int64          | 2021                                 |
 ⋮
 Stat
| KEY                  | VALUE                                |
|----------------------|--------------------------------------|
| date::Date           | 2021-11-25                           |
| id::DbId             | 623498                               |
| month::String        | 2021-11                              |
| package_name::String | SimpleANOVA                          |
| package_uuid::String | fff527a3-8410-504e-9ca3-60d5e79bb1e4 |
| region::String       | eu-central                           |
| request_count::Int64 | 1                                    |
| status::Int64        | 200                                  |
| year::Int64          | 2021                                 |

Missing docstring for to_model.

Missing docstring for to_model!!.

Missing docstring for to_select_part.

Missing docstring for to_from_part.

Missing docstring for to_where_part.

Missing docstring for to_order_part.

Missing docstring for to_group_part.

Missing docstring for to_limit_part.

Missing docstring for to_offset_part.

Missing docstring for to_having_part.

Missing docstring for to_join_part.

SearchLight.columns_from_joins - Function

columnsfromjoins(joins::Vector{SQLJoin})::Vector{SQLColumn}

Extracts columns from joins param and adds to be used for the SELECT part

Missing docstring for column_data_to_column_name.

Missing docstring for prepare_column_name.

Missing docstring for columns_names_by_table.

Missing docstring for dataframes_by_table.

Missing docstring for to_find_sql.

Missing docstring for to_fetch_sql.

Missing docstring for to_store_sql.

Missing docstring for to_sqlinput.

Missing docstring for delete_all.

Missing docstring for deleteall.

Missing docstring for delete.

Missing docstring for query.

Missing docstring for clone.

Missing docstring for columns.

Missing docstring for ispersisted.

Missing docstring for column_field_name.

Missing docstring for persistable_fields.

Missing docstring for settable_fields.

Missing docstring for table.

Missing docstring for pk.

Missing docstring for primary_key_name.

Missing docstring for strip_table_name.

Missing docstring for is_fully_qualified.

Missing docstring for from_fully_qualified.

Missing docstring for strip_module_name.

Missing docstring for to_fully_qualified.

Missing docstring for to_sql_column_names.

Missing docstring for to_sql_column_name.

Missing docstring for to_fully_qualified_sql_column_names.

Missing docstring for fo_fully_qualified_sql_column_name.

Missing docstring for from_literal_column_name.

Missing docstring for to_dict.

Missing docstring for to_string_dict.

Missing docstring for enclosure.

Missing docstring for update_query_part.

SearchLight.escape_column_name - Function

escape_column_name(c::SQLColumn) :: SQLColumn
escape_column_name(s::String)

Sanitizes input to be use as column names in SQL queries.

SearchLight.escape_value - Function

escape_value(i::SQLInput)

Sanitizes input to be used as values in SQL queries.

Missing docstring for index_name.

Missing docstring for sql.

SearchLight.add_quotes - Function

add_quotes(str::String) :: String

Adds quotes around str and escapes any previously existing quotes.

SearchLight.strip_quotes - Function

strip_quotes(str::String) :: String

Unquotes str.

SearchLight.isquoted - Function

isquoted(str::String) :: Bool

Checks weather or not str is quoted.

Missing docstring for expand_nullable.

Core.NamedTuple - Type

NamedTuple

NamedTuples are, as their name suggests, named Tuples. That is, they're a tuple-like collection of values, where each entry has a unique name, represented as a Symbol. Like Tuples, NamedTuples are immutable; neither the names nor the values can be modified in place after construction.

Accessing the value associated with a name in a named tuple can be done using field access syntax, e.g. x.a, or using getindex, e.g. x[:a] or x[(:a, :b)]. A tuple of the names can be obtained using keys, and a tuple of the values can be obtained using values.

!!! note Iteration over NamedTuples produces the values without the names. (See example below.) To iterate over the name-value pairs, use the pairs function.

The @NamedTuple macro can be used for conveniently declaring NamedTuple types.

Examples

julia> x = (a=1, b=2)
(a = 1, b = 2)

julia> x.a
1

julia> x[:a]
1

julia> x[(:a,)]
(a = 1,)

julia> keys(x)
(:a, :b)

julia> values(x)
(1, 2)

julia> collect(x)
2-element Vector{Int64}:
 1
 2

julia> collect(pairs(x))
2-element Vector{Pair{Symbol, Int64}}:
 :a => 1
 :b => 2

In a similar fashion as to how one can define keyword arguments programmatically, a named tuple can be created by giving a pair name::Symbol => value or splatting an iterator yielding such pairs after a semicolon inside a tuple literal:

julia> (; :a => 1)
(a = 1,)

julia> keys = (:a, :b, :c); values = (1, 2, 3);

julia> (; zip(keys, values)...)
(a = 1, b = 2, c = 3)

As in keyword arguments, identifiers and dot expressions imply names:

julia> x = 0
0

julia> t = (; x)
(x = 0,)

julia> (; t.x)
(x = 0,)

!!! compat "Julia 1.5" Implicit names from identifiers and dot expressions are available as of Julia 1.5.

!!! compat "Julia 1.7" Use of getindex methods with multiple Symbols is available as of Julia 1.7.

source

Relationships

Serializer