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mongo.ex
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defmodule Mongo do
@moduledoc """
The main entry point for doing queries. All functions take a topology to
run the query on.
## Generic options
All operations take these options.
* `:timeout` - The maximum time that the caller is allowed the to hold the
connection’s state (ignored when using a run/transaction connection,
default: `5_000`)
* `:pool` - The pooling behaviour module to use, this option is required
unless the default `DBConnection.Connection` pool is used
* `:pool_timeout` - The maximum time to wait for a reply when making a
synchronous call to the pool (default: `5_000`)
* `:queue` - Whether to block waiting in an internal queue for the
connection's state (boolean, default: `true`)
* `:log` - A function to log information about a call, either
a 1-arity fun, `{module, function, args}` with `DBConnection.LogEntry.t`
prepended to `args` or `nil`. See `DBConnection.LogEntry` (default: `nil`)
* `:database` - the database to run the operation on
* `:connect_timeout_ms` - maximum timeout for connect (default: `5_000`)
## Read options
All read operations that returns a cursor take the following options
for controlling the behaviour of the cursor.
* `:batch_size` - Number of documents to fetch in each batch
* `:limit` - Maximum number of documents to fetch with the cursor
* `:read_preference` - specifies the rules for selecting a server to query
## Write options
All write operations take the following options for controlling the
write concern.
* `:w` - The number of servers to replicate to before returning from write
operators, a 0 value will return immediately, :majority will wait until
the operation propagates to a majority of members in the replica set
(Default: 1)
* `:j` If true, the write operation will only return after it has been
committed to journal - (Default: false)
* `:wtimeout` - If the write concern is not satisfied in the specified
interval, the operation returns an error
"""
use Bitwise
use Mongo.Messages
alias Mongo.Query
alias Mongo.ReadPreference
alias Mongo.TopologyDescription
alias Mongo.Topology
alias Mongo.UrlParser
@timeout 5000
@dialyzer nowarn_function: [count_documents!: 4]
@type conn :: DbConnection.Conn
@type collection :: String.t()
@opaque cursor :: Mongo.Cursor.t() | Mongo.AggregationCursor.t()
@type result(t) :: :ok | {:ok, t} | {:error, Mongo.Error.t()}
@type write_result(t) ::
:ok | {:ok, t} | {:error, Mongo.Error.t()} | {:error, Mongo.WriteError.t()}
@type result!(t) :: nil | t | no_return
defmacrop bangify(result) do
quote do
case unquote(result) do
{:ok, value} -> value
{:error, error} -> raise error
:ok -> nil
end
end
end
@type initial_type :: :unknown | :single | :replica_set_no_primary | :sharded
@doc """
Start and link to a database connection process.
### Options
* `:database` - The database to use (required)
* `:hostname` - The host to connect to (require)
* `:port` - The port to connect to your server (default: 27017)
* `:url` - A mongo connection url. Can be used in place of `:hostname` and
* `:socket_dir` - Connect to MongoDB via UNIX sockets in the given directory.
The socket name is derived based on the port. This is the preferred method
for configuring sockets and it takes precedence over the hostname. If you
are connecting to a socket outside of the MongoDB convection, use
`:socket` instead.
* `:socket` - Connect to MongoDB via UNIX sockets in the given path.
This option takes precedence over `:hostname` and `:socket_dir`.
* `:database` (optional)
* `:seeds` - A list of host names in the cluster. Can be used in place of
`:hostname` (optional)
* `:username` - The User to connect with (optional)
* `:password` - The password to connect with (optional)
* `:auth` - List of additional users to authenticate as a keyword list with
`:username` and `:password` keys (optional)
* `:auth_source` - The database to authenticate against
* `:set_name` - The name of the replica set to connect to (required if
connecting to a replica set)
* `:type` - a hint of the topology type. See `t:initial_type/0` for
valid values (default: `:unknown`)
* `:pool` - The pool module to use, see `DBConnection` for pool dependent
options, this option must be included with all requests contacting the
pool if not `DBConnection.Connection` (default: `DBConnection.Connection`)
* `:idle` - The idle strategy, `:passive` to avoid checkin when idle and
* `:active` to checking when idle (default: `:passive`)
* `:idle_timeout` - The idle timeout to ping the database (default: `1_000`)
* `:connect_timeout_ms` - The maximum timeout for the initial connection
(default: `5_000`)
* `:backoff_min` - The minimum backoff interval (default: `1_000`)
* `:backoff_max` - The maximum backoff interval (default: `30_000`)
* `:backoff_type` - The backoff strategy, `:stop` for no backoff and to
stop, `:exp` of exponential, `:rand` for random and `:ran_exp` for random
exponential (default: `:rand_exp`)
* `:after_connect` - A function to run on connect use `run/3`. Either a
1-arity fun, `{module, function, args}` with `DBConnection.t`, prepended
to `args` or `nil` (default: `nil`)
* `:auth_mechanism` - options for the mongo authentication mechanism,
currently only supports `:x509` atom as a value
* `:ssl` - Set to `true` if ssl should be used (default: `false`)
* `:ssl_opts` - A list of ssl options, see the ssl docs
### Error Reasons
* `:single_topology_multiple_hosts` - A topology of `:single` was set
but multiple hosts were given
* `:set_name_bad_topology` - A `:set_name` was given but the topology was
set to something other than `:replica_set_no_primary` or `:single`
"""
@spec start_link(Keyword.t()) :: {:ok, pid} | {:error, Mongo.Error.t() | atom}
def start_link(opts) do
opts
|> UrlParser.parse_url()
|> Mongo.ConfigHide.mask_password()
|> Topology.start_link()
end
def child_spec(opts, child_opts \\ []) do
child_opts
|> Map.new()
|> Map.merge(%{
id: __MODULE__,
start: {__MODULE__, :start_link, [opts]}
})
end
@doc """
Generates a new `BSON.ObjectId`.
"""
@spec object_id :: BSON.ObjectId.t()
def object_id do
Mongo.IdServer.new()
end
@doc """
Performs aggregation operation using the aggregation pipeline.
## Options
* `:allow_disk_use` - Enables writing to temporary files (Default: false)
* `:collation` - Optionally specifies a collation to use in MongoDB 3.4 and
* `:max_time` - Specifies a time limit in milliseconds
* `:use_cursor` - Use a cursor for a batched response (Default: true)
"""
@spec aggregate(GenServer.server(), collection, [BSON.document()], Keyword.t()) :: cursor
def aggregate(topology_pid, coll, pipeline, opts \\ []) do
query =
[
aggregate: coll,
pipeline: pipeline,
allowDiskUse: opts[:allow_disk_use],
collation: opts[:collation],
maxTimeMS: opts[:max_time],
hint: opts[:hint]
]
|> filter_nils()
wv_query = %Query{action: :wire_version}
with {:ok, query} <- Mongo.Session.add_session(query, opts[:session]),
{:ok, conn, _, _} <- select_server(topology_pid, :read, opts),
{:ok, _query, version} <- DBConnection.execute(conn, wv_query, [], defaults(opts)) do
cursor? = version >= 1 and Keyword.get(opts, :use_cursor, true)
opts = Keyword.drop(opts, ~w(allow_disk_use max_time use_cursor)a)
if cursor? do
query = query ++ [cursor: filter_nils(%{batchSize: opts[:batch_size]})]
aggregation_cursor(conn, "$cmd", query, nil, opts)
else
query = query ++ [cursor: %{}]
aggregation_cursor(conn, "$cmd", query, nil, opts)
end
end
end
@doc """
Finds a document and updates it (using atomic modifiers).
## Options
* `:bypass_document_validation` - Allows the write to opt-out of document
level validation
* `:max_time` - The maximum amount of time to allow the query to run (in MS)
* `:projection` - Limits the fields to return for all matching documents.
* `:return_document` - Returns the replaced or inserted document rather than
the original. Values are :before or :after. (default is :before)
* `:sort` - Determines which document the operation modifies if the query
selects multiple documents.
* `:upsert` - Create a document if no document matches the query or updates
the document.
* `:collation` - Optionally specifies a collation to use in MongoDB 3.4 and
"""
@spec find_one_and_update(
GenServer.server(),
collection,
BSON.document(),
BSON.document(),
Keyword.t()
) :: result(BSON.document()) | {:ok, nil}
def find_one_and_update(topology_pid, coll, filter, update, opts \\ []) do
_ = modifier_docs(update, :update)
query =
[
findAndModify: coll,
query: filter,
update: update,
bypassDocumentValidation: opts[:bypass_document_validation],
maxTimeMS: opts[:max_time],
fields: opts[:projection],
new: should_return_new(opts[:return_document]),
sort: opts[:sort],
upsert: opts[:upsert],
collation: opts[:collation]
]
|> filter_nils()
opts =
Keyword.drop(
opts,
~w(bypass_document_validation max_time projection return_document sort upsert collation)a
)
with {:ok, query} <- Mongo.Session.add_session(query, opts[:session]),
{:ok, conn, _, _} <- select_server(topology_pid, :write, opts),
{:ok, doc} <- direct_command(conn, query, opts) do
{:ok,
%Mongo.FindAndModifyResult{
value: doc["value"],
matched_count: doc["lastErrorObject"]["n"],
updated_existing: doc["lastErrorObject"]["updatedExisting"],
upserted_id: doc["lastErrorObject"]["upserted"]
}}
end
end
@doc """
Finds a document and replaces it.
## Options
* `:bypass_document_validation` - Allows the write to opt-out of document
level validation
* `:max_time` - The maximum amount of time to allow the query to run (in MS)
* `:projection` - Limits the fields to return for all matching documents.
* `:return_document` - Returns the replaced or inserted document rather than
the original. Values are :before or :after. (default is :before)
* `:sort` - Determines which document the operation modifies if the query
selects multiple documents.
* `:upsert` - Create a document if no document matches the query or updates
the document.
* `:collation` - Optionally specifies a collation to use in MongoDB 3.4 and
higher.
"""
@spec find_one_and_replace(
GenServer.server(),
collection,
BSON.document(),
BSON.document(),
Keyword.t()
) :: result(BSON.document())
def find_one_and_replace(topology_pid, coll, filter, replacement, opts \\ []) do
_ = modifier_docs(replacement, :replace)
query =
filter_nils(
findAndModify: coll,
query: filter,
update: replacement,
bypassDocumentValidation: opts[:bypass_document_validation],
maxTimeMS: opts[:max_time],
fields: opts[:projection],
new: should_return_new(opts[:return_document]),
sort: opts[:sort],
upsert: opts[:upsert],
collation: opts[:collation]
)
opts =
Keyword.drop(
opts,
~w(bypass_document_validation max_time projection return_document sort upsert collation)a
)
with {:ok, conn, _, _} <- select_server(topology_pid, :write, opts),
{:ok, doc} <- direct_command(conn, query, opts) do
{:ok,
%Mongo.FindAndModifyResult{
value: doc["value"],
matched_count: doc["lastErrorObject"]["n"],
updated_existing: doc["lastErrorObject"]["updatedExisting"],
upserted_id: doc["lastErrorObject"]["upserted"]
}}
end
end
defp should_return_new(:after), do: true
defp should_return_new(:before), do: false
defp should_return_new(_), do: false
@doc """
Finds a document and deletes it.
## Options
* `:max_time` - The maximum amount of time to allow the query to run (in MS)
* `:projection` - Limits the fields to return for all matching documents.
* `:sort` - Determines which document the operation modifies if the query selects multiple documents.
* `:collation` - Optionally specifies a collation to use in MongoDB 3.4 and higher.
"""
@spec find_one_and_delete(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result(BSON.document())
def find_one_and_delete(topology_pid, coll, filter, opts \\ []) do
query =
filter_nils(
findAndModify: coll,
query: filter,
remove: true,
maxTimeMS: opts[:max_time],
fields: opts[:projection],
sort: opts[:sort],
collation: opts[:collation]
)
opts = Keyword.drop(opts, ~w(max_time projection sort collation)a)
with {:ok, conn, _, _} <- select_server(topology_pid, :write, opts),
{:ok, doc} <- direct_command(conn, query, opts),
do: {:ok, doc["value"]}
end
@doc false
@spec count(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result(non_neg_integer)
def count(topology_pid, coll, filter, opts \\ []) do
query =
filter_nils(
count: coll,
query: filter |> normalize_filter(),
limit: opts[:limit],
skip: opts[:skip],
hint: opts[:hint],
collation: opts[:collation]
)
opts = Keyword.drop(opts, ~w(limit skip hint collation)a)
# Mongo 2.4 and 2.6 returns a float
with {:ok, doc} <- command(topology_pid, query, opts),
do: {:ok, trunc(doc["n"])}
end
@doc false
@spec count!(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result!(non_neg_integer)
def count!(topology_pid, coll, filter, opts \\ []) do
bangify(count(topology_pid, coll, filter, opts))
end
@doc """
Returns the count of documents that would match a find/4 query.
## Options
* `:limit` - Maximum number of documents to fetch with the cursor
* `:skip` - Number of documents to skip before returning the first
"""
@spec count_documents(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result(non_neg_integer)
def count_documents(topology_pid, coll, filter, opts \\ []) do
pipeline =
[
{"$match", filter |> normalize_filter()},
{"$skip", opts[:skip]},
{"$limit", opts[:limit]},
{"$group", %{"_id" => nil, "n" => %{"$sum" => 1}}}
]
|> filter_nils
|> Enum.map(&List.wrap/1)
documents =
topology_pid
|> Mongo.aggregate(coll, pipeline, opts)
|> Enum.to_list()
case documents do
[%{"n" => count}] -> {:ok, count}
[] -> {:ok, 0}
end
end
# As of at least MongoDB v4.4.3 filters are expected as a map but it seems like in the past a
# keyword list was accepted. `normalize_filter` is provided to iron out the differences and
# provide backwards compatibilitys
defp normalize_filter(filter) when is_map(filter), do: filter
defp normalize_filter(filter), do: filter |> Enum.into(%{})
@doc """
Similar to `count_documents/4` but unwraps the result and raises on error.
"""
@spec count_documents!(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result!(non_neg_integer)
def count_documents!(topology_pid, coll, filter, opts \\ []) do
bangify(count_documents(topology_pid, coll, filter, opts))
end
@doc """
Estimate the number of documents in a collection using collection metadata.
"""
@spec estimated_document_count(GenServer.server(), collection, Keyword.t()) ::
result(non_neg_integer)
def estimated_document_count(topology_pid, coll, opts) do
opts = Keyword.drop(opts, [:skip, :limit, :hint, :collation])
count(topology_pid, coll, %{}, opts)
end
@doc """
Similar to `estimated_document_count/3` but unwraps the result and raises on
error.
"""
@spec estimated_document_count!(GenServer.server(), collection, Keyword.t()) ::
result!(non_neg_integer)
def estimated_document_count!(topology_pid, coll, opts) do
bangify(estimated_document_count(topology_pid, coll, opts))
end
@doc """
Finds the distinct values for a specified field across a collection.
## Options
* `:max_time` - Specifies a time limit in milliseconds
* `:collation` - Optionally specifies a collation to use in MongoDB 3.4 and
"""
@spec distinct(GenServer.server(), collection, String.t() | atom, BSON.document(), Keyword.t()) ::
result([BSON.t()])
def distinct(topology_pid, coll, field, filter, opts \\ []) do
query =
filter_nils(
distinct: coll,
key: field,
query: filter,
collation: opts[:collation],
maxTimeMS: opts[:max_time]
)
opts = Keyword.drop(opts, ~w(max_time)a)
with {:ok, conn, _, _} <- select_server(topology_pid, :read, opts),
{:ok, doc} <- direct_command(conn, query, opts),
do: {:ok, doc["values"]}
end
@doc """
Similar to `distinct/5` but unwraps the result and raises on error.
"""
@spec distinct!(GenServer.server(), collection, String.t() | atom, BSON.document(), Keyword.t()) ::
result!([BSON.t()])
def distinct!(topology_pid, coll, field, filter, opts \\ []) do
bangify(distinct(topology_pid, coll, field, filter, opts))
end
@doc """
Selects documents in a collection and returns a cursor for the selected
documents.
## Options
* `:comment` - Associates a comment to a query
* `:cursor_type` - Set to :tailable or :tailable_await to return a tailable
cursor
* `:max_time` - Specifies a time limit in milliseconds
* `:modifiers` - Meta-operators modifying the output or behavior of a query,
see http://docs.mongodb.org/manual/reference/operator/query-modifier/
* `:cursor_timeout` - Set to false if cursor should not close after 10
minutes (Default: true)
* `:sort` - Sorts the results of a query in ascending or descending order
* `:projection` - Limits the fields to return for all matching document
* `:skip` - The number of documents to skip before returning (Default: 0)
"""
@spec find(GenServer.server(), collection, BSON.document(), Keyword.t()) :: cursor
def find(topology_pid, coll, filter, opts \\ []) do
query =
[
{"$comment", opts[:comment]},
{"$maxTimeMS", opts[:max_time]},
{"$orderby", opts[:sort]}
] ++ Enum.into(opts[:modifiers] || [], [])
query = filter_nils(query)
query =
if query == [] do
filter
else
filter = normalize_doc(filter)
filter = if List.keymember?(filter, "$query", 0), do: filter, else: [{"$query", filter}]
filter ++ query
end
select = opts[:projection]
opts =
if Keyword.get(opts, :cursor_timeout, true),
do: opts,
else: [{:no_cursor_timeout, true} | opts]
drop = ~w(comment max_time modifiers sort cursor_type projection cursor_timeout)a
opts = cursor_type(opts[:cursor_type]) ++ Keyword.drop(opts, drop)
with {:ok, conn, slave_ok, _} <- select_server(topology_pid, :read, opts),
opts = Keyword.put(opts, :slave_ok, slave_ok),
do: cursor(conn, coll, query, select, opts)
end
@doc """
Selects a single document in a collection and returns either a document
or nil.
If multiple documents satisfy the query, this method returns the first document
according to the natural order which reflects the order of documents on the disk.
## Options
* `:comment` - Associates a comment to a query
* `:cursor_type` - Set to :tailable or :tailable_await to return a tailable
cursor
* `:max_time` - Specifies a time limit in milliseconds
* `:modifiers` - Meta-operators modifying the output or behavior of a query,
see http://docs.mongodb.org/manual/reference/operator/query-modifier/
* `:cursor_timeout` - Set to false if cursor should not close after 10
minutes (Default: true)
* `:projection` - Limits the fields to return for all matching document
* `:skip` - The number of documents to skip before returning (Default: 0)
"""
@spec find_one(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
BSON.document() | nil
def find_one(conn, coll, filter, opts \\ []) do
opts =
opts
|> Keyword.delete(:order_by)
|> Keyword.delete(:sort)
|> Keyword.put(:limit, 1)
|> Keyword.put(:batch_size, 1)
with [elem] <- Enum.to_list(find(conn, coll, filter, opts)) do
elem
else
[] -> nil
error -> error
end
end
@doc false
def raw_find(conn, coll, query, select, opts) do
params = [query, select]
query = %Query{action: :find, extra: coll}
with {:ok, _query, reply} <- DBConnection.execute(conn, query, params, defaults(opts)),
:ok <- maybe_failure(reply),
op_reply(docs: docs, cursor_id: cursor_id, from: from, num: num) = reply,
do: {:ok, %{from: from, num: num, cursor_id: cursor_id, docs: docs}}
end
@doc false
def get_more(conn, coll, cursor, opts) do
query =
filter_nils(
getMore: cursor,
collection: coll,
batchSize: Keyword.get(opts, :batch_size),
maxTimeMS: Keyword.get(opts, :max_time_ms)
)
direct_command(conn, query, opts)
end
@doc false
def kill_cursors(conn, cursor_ids, opts) do
query = %Query{action: :kill_cursors, extra: cursor_ids}
with {:ok, _query, :ok} <- DBConnection.execute(conn, query, [], defaults(opts)),
do: :ok
end
@doc """
Issue a database command. If the command has parameters use a keyword
list for the document because the "command key" has to be the first
in the document.
"""
@spec command(GenServer.server(), BSON.document(), Keyword.t()) :: result(BSON.document())
def command(topology_pid, query, opts \\ []) do
rp = ReadPreference.defaults(%{mode: :primary})
rp_opts = [read_preference: Keyword.get(opts, :read_preference, rp)]
with {:ok, conn, slave_ok, _} <- select_server(topology_pid, :read, rp_opts) do
opts = Keyword.put(opts, :slave_ok, slave_ok)
direct_command(conn, query, opts)
end
end
@doc false
@spec direct_command(pid, BSON.document(), Keyword.t()) ::
{:ok, BSON.document() | nil} | {:error, Mongo.Error.t()}
def direct_command(conn, query, opts \\ []) do
params = [query]
query = %Query{action: :command}
with {:ok, _query, reply} <- DBConnection.execute(conn, query, params, defaults(opts)) do
case reply do
op_reply(flags: flags, docs: [%{"$err" => reason, "code" => code}])
when (@reply_query_failure &&& flags) != 0 ->
{:error, Mongo.Error.exception(message: reason, code: code)}
op_reply(flags: flags) when (@reply_cursor_not_found &&& flags) != 0 ->
{:error, Mongo.Error.exception(message: "cursor not found")}
op_reply(docs: [%{"ok" => 0.0, "errmsg" => reason} = error]) ->
{:error, %Mongo.Error{message: "command failed: #{reason}", code: error["code"]}}
op_reply(docs: [%{"ok" => ok} = doc]) when ok == 1 ->
Mongo.Session.update_session(doc, opts[:session])
{:ok, doc}
# TODO: Check if needed
op_reply(docs: []) ->
{:ok, nil}
end
end
end
@doc """
Similar to `command/3` but unwraps the result and raises on error.
"""
@spec command!(GenServer.server(), BSON.document(), Keyword.t()) :: result!(BSON.document())
def command!(topology_pid, query, opts \\ []) do
bangify(command(topology_pid, query, opts))
end
@doc """
Insert a single document into the collection.
If the document is missing the `_id` field or it is `nil`, an ObjectId
will be generated, inserted into the document, and returned in the result struct.
## Examples
Mongo.insert_one(pid, "users", %{first_name: "John", last_name: "Smith"})
"""
@spec insert_one(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
write_result(Mongo.InsertOneResult.t())
def insert_one(topology_pid, coll, doc, opts \\ []) do
assert_single_doc!(doc)
{[id], [doc]} = assign_ids([doc])
write_concern =
filter_nils(%{
w: Keyword.get(opts, :w),
j: Keyword.get(opts, :j),
wtimeout: Keyword.get(opts, :wtimeout)
})
query =
[
insert: coll,
documents: [doc],
ordered: Keyword.get(opts, :ordered),
writeConcern: write_concern,
bypassDocumentValidation: Keyword.get(opts, :bypass_document_validation)
]
|> filter_nils()
with {:ok, query} <- Mongo.Session.add_session(query, opts[:session]),
{:ok, conn, _, _} <- select_server(topology_pid, :write, opts),
{:ok, doc} <- direct_command(conn, query, opts) do
case doc do
%{"writeErrors" => _} ->
{:error,
%Mongo.WriteError{n: doc["n"], ok: doc["ok"], write_errors: doc["writeErrors"]}}
%{"writeConcernError" => writeConcernError} ->
{:error,
%Mongo.WriteError{n: doc["n"], ok: doc["ok"], write_errors: [writeConcernError]}}
_ ->
case Map.get(write_concern, :w) do
0 ->
{:ok, %Mongo.InsertOneResult{acknowledged: false}}
_ ->
{:ok, %Mongo.InsertOneResult{inserted_id: id}}
end
end
end
end
@doc """
Similar to `insert_one/4` but unwraps the result and raises on error.
"""
@spec insert_one!(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result!(Mongo.InsertOneResult.t())
def insert_one!(topology_pid, coll, doc, opts \\ []) do
bangify(insert_one(topology_pid, coll, doc, opts))
end
@doc """
Insert multiple documents into the collection.
If any of the documents is missing the `_id` field or it is `nil`, an ObjectId
will be generated, and insertd into the document.
Ids of all documents will be returned in the result struct.
## Options
* `:continue_on_error` - even if insert fails for one of the documents
continue inserting the remaining ones (default: `false`)
* `:ordered` - A boolean specifying whether the mongod instance should
perform an ordered or unordered insert. (default: `true`)
## Examples
Mongo.insert_many(pid, "users", [%{first_name: "John", last_name: "Smith"}, %{first_name: "Jane", last_name: "Doe"}])
"""
@spec insert_many(GenServer.server(), collection, [BSON.document()], Keyword.t()) ::
write_result(Mongo.InsertManyResult.t())
def insert_many(topology_pid, coll, docs, opts \\ []) do
assert_many_docs!(docs)
{ids, docs} = assign_ids(docs)
write_concern =
filter_nils(%{
w: Keyword.get(opts, :w),
j: Keyword.get(opts, :j),
wtimeout: Keyword.get(opts, :wtimeout)
})
query =
filter_nils(
insert: coll,
documents: docs,
ordered: Keyword.get(opts, :ordered),
writeConcern: write_concern,
bypassDocumentValidation: Keyword.get(opts, :bypass_document_validation)
)
with {:ok, conn, _, _} <- select_server(topology_pid, :write, opts),
{:ok, doc} <- direct_command(conn, query, opts) do
case doc do
%{"writeErrors" => _} ->
{:error,
%Mongo.WriteError{n: doc["n"], ok: doc["ok"], write_errors: doc["writeErrors"]}}
_ ->
case Map.get(write_concern, :w) do
0 ->
{:ok, %Mongo.InsertManyResult{acknowledged: false}}
_ ->
{:ok, %Mongo.InsertManyResult{inserted_ids: ids}}
end
end
end
end
@doc """
Similar to `insert_many/4` but unwraps the result and raises on error.
"""
@spec insert_many!(GenServer.server(), collection, [BSON.document()], Keyword.t()) ::
result!(Mongo.InsertManyResult.t())
def insert_many!(topology_pid, coll, docs, opts \\ []) do
bangify(insert_many(topology_pid, coll, docs, opts))
end
@doc """
Remove a document matching the filter from the collection.
"""
@spec delete_one(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
write_result(Mongo.DeleteResult.t())
def delete_one(topology_pid, coll, filter, opts \\ []) do
do_delete(topology_pid, coll, filter, 1, opts)
end
@doc """
Similar to `delete_one/4` but unwraps the result and raises on error.
"""
@spec delete_one!(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result!(Mongo.DeleteResult.t())
def delete_one!(topology_pid, coll, filter, opts \\ []) do
bangify(delete_one(topology_pid, coll, filter, opts))
end
@doc """
Remove all documents matching the filter from the collection.
"""
@spec delete_many(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
write_result(Mongo.DeleteResult.t())
def delete_many(topology_pid, coll, filter, opts \\ []) do
do_delete(topology_pid, coll, filter, 0, opts)
end
@doc """
Similar to `delete_many/4` but unwraps the result and raises on error.
"""
@spec delete_many!(GenServer.server(), collection, BSON.document(), Keyword.t()) ::
result!(Mongo.DeleteResult.t())
def delete_many!(topology_pid, coll, filter, opts \\ []) do
bangify(delete_many(topology_pid, coll, filter, opts))
end
def delete(topology_pid, coll, deletes, opts) do
write_concern =
filter_nils(%{
w: Keyword.get(opts, :w),
j: Keyword.get(opts, :j),
wtimeout: Keyword.get(opts, :wtimeout)
})
normalised_deletes = deletes |> normalise_deletes()
query =
filter_nils(
delete: coll,
deletes: normalised_deletes,
ordered: Keyword.get(opts, :ordered),
writeConcern: write_concern
)
with {:ok, conn, _, _} <- select_server(topology_pid, :write, opts),
{:ok, doc} <- direct_command(conn, query, opts) do
case doc do
%{"writeErrors" => write_errors} ->
{:error, %Mongo.WriteError{n: doc["n"], ok: doc["ok"], write_errors: write_errors}}
%{"n" => n} ->
{:ok, %Mongo.DeleteResult{deleted_count: n}}
%{"ok" => ok} when ok == 1 ->
{:ok, %Mongo.DeleteResult{acknowledged: false}}
end
end
end
defp normalise_deletes([[{_, _} | _] | _] = deletes) do
deletes
|> Enum.map(&normalise_delete/1)
end
defp normalise_deletes(deletes), do: normalise_deletes([deletes])
defp normalise_delete(delete) do
delete
|> Enum.map(fn
{:query, query} -> {:q, query}
other -> other
end)
|> filter_nils()
end
defp do_delete(topology_pid, coll, filter, limit, opts) do
delete = [
query: filter,
limit: limit,
collation: Keyword.get(opts, :collation)
]
delete(topology_pid, coll, delete, opts)
end
@doc """
Replace a single document matching the filter with the new document.
## Options
* `:upsert` - if set to `true` creates a new document when no document
matches the filter (default: `false`)
"""
@spec replace_one(GenServer.server(), collection, BSON.document(), BSON.document(), Keyword.t()) ::
write_result(Mongo.UpdateResult.t())
def replace_one(topology_pid, coll, filter, replacement, opts \\ []) do
_ = modifier_docs(replacement, :replace)
do_update(topology_pid, coll, filter, replacement, false, opts)
end
@doc """
Similar to `replace_one/5` but unwraps the result and raises on error.
"""
@spec replace_one!(
GenServer.server(),
collection,
BSON.document(),
BSON.document(),
Keyword.t()
) :: result!(Mongo.UpdateResult.t())
def replace_one!(topology_pid, coll, filter, replacement, opts \\ []) do
bangify(replace_one(topology_pid, coll, filter, replacement, opts))
end
@doc """
Update a single document matching the filter.
Uses MongoDB update operators to specify the updates. For more information
please refer to the
[MongoDB documentation](http://docs.mongodb.org/manual/reference/operator/update/)
Example:
Mongo.update_one(MongoPool,
"my_test_collection",
%{"filter_field": "filter_value"},
%{"$set": %{"modified_field": "new_value"}})
## Options
* `:upsert` - if set to `true` creates a new document when no document
matches the filter (default: `false`)
"""
@spec update_one(GenServer.server(), collection, BSON.document(), BSON.document(), Keyword.t()) ::
write_result(Mongo.UpdateResult.t())
def update_one(topology_pid, coll, filter, update, opts \\ []) do
_ = modifier_docs(update, :update)
do_update(topology_pid, coll, filter, update, false, opts)
end
@doc """
Similar to `update_one/5` but unwraps the result and raises on error.
"""
@spec update_one!(GenServer.server(), collection, BSON.document(), BSON.document(), Keyword.t()) ::
result!(Mongo.UpdateResult.t())
def update_one!(topology_pid, coll, filter, update, opts \\ []) do
bangify(update_one(topology_pid, coll, filter, update, opts))
end
@doc """
Update all documents matching the filter.
Uses MongoDB update operators to specify the updates. For more information
please refer to the
[MongoDB documentation](http://docs.mongodb.org/manual/reference/operator/update/)
## Options
* `:upsert` - if set to `true` creates a new document when no document
matches the filter (default: `false`)
"""
@spec update_many(GenServer.server(), collection, BSON.document(), BSON.document(), Keyword.t()) ::
write_result(Mongo.UpdateResult.t())
def update_many(topology_pid, coll, filter, update, opts \\ []) do
_ = modifier_docs(update, :update)
do_update(topology_pid, coll, filter, update, true, opts)
end
@doc """
Similar to `update_many/5` but unwraps the result and raises on error.
"""
@spec update_many!(
GenServer.server(),
collection,
BSON.document(),
BSON.document(),
Keyword.t()
) :: result!(Mongo.UpdateResult.t())
def update_many!(topology_pid, coll, filter, update, opts \\ []) do
bangify(update_many(topology_pid, coll, filter, update, opts))
end
@doc """
Performs one or more update operations.
This function is especially useful for more complex update operations (e.g.
upserting multiple documents). For more straightforward use cases you may
prefer to use these higher level APIs: