This module is an interface to the Erlang built-in term storage
BIFs. These provide the ability to store very large quantities of
data in an Erlang runtime system, and to have constant access
time to the data. (In the case of ordered_set
, see below,
access time is proportional to the logarithm of the number of
objects stored).
Data is organized as a set of dynamic tables, which can store tuples. Each table is created by a process. When the process terminates, the table is automatically destroyed. Every table has access rights set at creation.
Tables are divided into four different types, set
,
ordered_set
, bag
and duplicate_bag
.
A set
or ordered_set
table can only have one object
associated with each key. A bag
or duplicate_bag
can
have many objects associated with each key.
The number of tables stored at one Erlang node is limited.
The current default limit is approximately 1400 tables. The upper
limit can be increased by setting the environment variable
ERL_MAX_ETS_TABLES
before starting the Erlang runtime
system (i.e. with the -env
option to
erl
/werl
). The actual limit may be slightly higher
than the one specified, but never lower.
Note that there is no automatic garbage collection for tables.
Even if there are no references to a table from any process, it
will not automatically be destroyed unless the owner process
terminates. It can be destroyed explicitly by using
delete/1
.
Some implementation details:
safe_fixtable/2
function can be used to guarantee that a sequence of
first/1
and next/2
calls will traverse the table
without errors even if another process (or the same process)
simultaneously deletes or inserts objects in the table.
'$end_of_table'
should not be used as a key since
this atom is used to mark the end of the table when using
first
/next
.
In general, the functions below will exit with reason
badarg
if any argument is of the wrong format, or if the
table identifier is invalid.
Some of the functions uses a match specification, match_spec. A brief explanation is given in select/2. For a detailed description, see the chapter "Match specifications in Erlang" in ERTS User's Guide.
match_spec() a match specification, see above tid() a table identifier, as returned by new/2
Types:
Tab = tid() | atom()
Returns a list of all tables at the node. Named tables are given by their names, unnamed tables are given by their table identifiers.
Types:
Tab = tid() | atom()
Deletes the entire table Tab
.
Types:
Tab = tid() | atom()
Key = term()
Deletes all objects with the key Key
from the table
Tab
.
delete_all_objects(Tab) -> true
Types:
Tab = tid() | atom()
Delete all objects in the ETS table Tab
. The deletion
is atomic.
delete_object(Tab,Object) -> true
Types:
Tab = tid() | atom()
Object = tuple()
Delete the exact object Object
from the ETS table,
leaving objects with the same key but other differences
(useful for type bag
).
file2tab(Filename) -> {ok,Tab} | {error,Reason}
Types:
Filename = string() | atom()
Tab = tid() | atom()
Reason = term()
Reads a file produced by tab2file/2
and creates the
corresponding table Tab
.
first(Tab) -> Key | '$end_of_table'
Types:
Tab = tid() | atom()
Key = term()
Returns the first key Key
in the table Tab
.
If the table is of the ordered_set
type, the first key
in Erlang term order will be returned. If the table is of any
other type, the first key according to the table's internal
order will be returned. If the table is empty,
'$end_of_table'
will be returned.
Use next/2
to find subsequent keys in the table.
fixtable(Tab, true|false) -> true | false
Types:
Tab = tid() | atom()
The function is retained for backwards compatibility only.
Use |
Fixes a table for safe traversal. The function is primarily used by the Mnesia DBMS to implement functions which allow write operations in a table, although the table is in the process of being copied to disk or to another node. It does not keep track of when and how tables are fixed.
foldl(Function, Acc0, Tab) -> Acc1
Types:
Function = fun(A, AccIn) -> AccOut
Tab = tid() | atom()
Acc0 = Acc1 = AccIn = AccOut = term()
Acc0
is returned if the table is empty.
This function is similar to lists:foldl/3
. The order in
which the elements of the table are traversed is unspecified,
except for tables of type ordered_set
, for which they
are traversed first to last.
foldr(Function, Acc0, Tab) -> Acc1
Types:
Function = fun(A, AccIn) -> AccOut
Tab = tid() | atom()
Acc0 = Acc1 = AccIn = AccOut = term()
Acc0
is returned if the table is empty.
This function is similar to lists:foldr/3
. The order in
which the elements of the table are traversed is unspecified,
except for tables of type ordered_set
, for which they
are traversed last to first.
from_dets(Tab, DetsTab) -> Tab
Types:
Tab = tid() | atom()
DetsTab = atom()
Fills an already created ETS table with the objects in the
already opened Dets table named DetsTab
. The existing
objects of the ETS table are kept unless overwritten.
fun2ms(LiteralFun) -> MatchSpec
Types:
LiteralFun -- see below
MatchSpec = match_spec()
Pseudo function that by means of a parse_transform
translates LiteralFun
typed as parameter in the
function call to a
match_spec. With
"literal" is meant that the fun needs to textually be written
as the parameter of the function, it cannot be held in a
variable which in turn is passed to the function).
The parse transform is implemented in the module
ms_transform
and the source must include the
file ms_transform.hrl
in stdlib
for this
pseudo function to work. Failing to include the hrl file in
the source will result in a runtime error, not a compile
time ditto. The include file is easiest included by adding
the line
-include_lib("stdlib/include/ms_transform.hrl").
to
the source file.
The fun is very restricted, it can take only a single
parameter (the object to match): a sole variable or a
tuple. It needs to use the is_
XXX guard tests.
Language constructs that have no representation
in a match_spec (like if
, case
, receive
etc) are not allowed.
The return value is the resulting match_spec.
Example:
1> ets:fun2ms(fun({M,N}) when N > 3 -> M end). [{{'$1','$2'},[{'>','$2',3}],['$1']}]
Variables from the environment can be imported, so that this works:
2> X=3. 3 3> ets:fun2ms(fun({M,N}) when N > X -> M end). [{{'$1','$2'},[{'>','$2',{const,3}}],['$1']}]
The imported variables will be replaced by match_spec
const
expressions, which is consistent with the
static scoping for Erlang funs. Local or global function
calls can not be in the guard or body of the fun however.
Calls to builtin match_spec functions of course is allowed:
4> ets:fun2ms(fun({M,N}) when N > X, is_atomm(M) -> M end). Error: fun containing local Erlang function calls ('is_atomm' called in guard) cannot be translated into match_spec {error,transform_error} 5> ets:fun2ms(fun({M,N}) when N > X, is_atom(M) -> M end). [{{'$1','$2'},[{'>','$2',{const,3}},{is_atom,'$1'}],['$1']}]
As can be seen by the example, the function can be called from the shell too. The fun needs to be literally in the call when used from the shell as well. Other means than the parse_transform are used in the shell case, but more or less the same restrictions apply (the exception being records, as they are not handled by the shell).
If the parse_transform is not applied to a module which
calls this pseudo function, the call will fail in runtime
(with a |
For more information, see ms_transform(3).
Displays information about all ETS tables on tty.
Types:
Tab = tid() | atom()
Browses the table Tab
on tty.
info(Tab) -> [{Item, Value}] | undefined
Types:
Tab = tid() | atom()
Item = atom(), see below
Value = term(), see below
Returns information about the table Tab
as a list of
{Item, Value}
tuples.
In Erlang/OTP R10B and earlier releases, this function erroneously returned a tuple. This has now been corrected. |
Item=memory, Value=int()
Item=owner, Value=pid()
Item=name, Value=atom()
Item=size, Value=int()
Item=node, Value=atom()
Item=named_table, Value=true|false
Item=type, Value=set|ordered_set|bag|duplicate_bag
Item=keypos, Value=int()
Item=protection, Value=public|protected|private
info(Tab, Item) -> Value | undefined
Types:
Tab = tid() | atom()
Item, Value - see below
Returns the information associated with Item
for
the table Tab
. In addition to the {Item,Value}
pairs defined for info/1
, the following items are
allowed:
Item=fixed, Value=true|false
Item=safe_fixed, Value={FirstFixed,Info}|false
safe_fixtable/2
,
the call returns a tuple where FirstFixed
is the
time when the table was first fixed by a process, which
may or may not be one of the processes it is fixed by
right now.Info
is a possibly empty lists of tuples
{Pid,RefCount}
, one tuple for every process the
table is fixed by right now. RefCount
is the value
of the reference counter, keeping track of how many times
the table has been fixed by the process.false
.init_table(Name, InitFun) -> true
Types:
Name = atom()
InitFun = fun(Arg) -> Res
Arg = read | close
Res = end_of_input | {[object()], InitFun} | term()
Replaces the existing objects of the table Tab
with
objects created by calling the input function InitFun
,
see below. This function is provided for compatibility with
the dets
module, it is not more efficient than filling
a table by using ets:insert/2
.
When called with the argument read
the function
InitFun
is assumed to return end_of_input
when
there is no more input, or {Objects, Fun}
, where
Objects
is a list of objects and Fun
is a new
input function. Any other value Value is returned as an error
{error, {init_fun, Value}}
. Each input function will be
called exactly once, and should an error occur, the last
function is called with the argument close
, the reply
of which is ignored.
If the type of the table is set
and there is more
than one object with a given key, one of the objects is
chosen. This is not necessarily the last object with the given
key in the sequence of objects returned by the input
functions. This holds also for duplicated
objects stored in tables of type duplicate_bag
.
insert(Tab, ObjectOrObjects) -> true
Types:
Tab = tid() | atom()
ObjectOrObjects = tuple() | [tuple()]
Inserts the object or all of the objects in the list
ObjectOrObjects
into the table Tab
. If there
already exists an object with the same key as one of the
objects, and the table is a set
or ordered_set
table, the old object will be replaced. If the list contains
more than one object with the same key and the table is a
set/ordered_set
, one will be inserted, which one is
not defined.
insert_new(Tab, ObjectOrObjects) -> bool()
Types:
Tab = tid() | atom()
ObjectOrObjects = tuple() | [tuple()]
This function works exactly like insert/2
, with the
exception that instead of overwriting objects with the same
key (in the case of set
or ordered_set
) or
adding more objects with keys already existing in the table
(in the case of bag
and duplicate_bag
), it
simply returns false
. If ObjectOrObjects
is a
list, the function checks every key prior to
inserting anything. Nothing will be inserted if not
all keys present in the list are absent from the
table.
is_compiled_ms(Term) -> bool()
Types:
Term = term()
This function is used to check if a term is a valid
compiled match_spec.
The compiled match_spec is an opaque datatype which can
not be sent between Erlang nodes nor be stored on
disk. Any attempt to create an external representation of a
compiled match_spec will result in an empty binary
(<<>>
). As an example, the following
expression:
ets:is_compiled_ms(ets:match_spec_compile([{'_',[],[true]}])).
will yield true
, while the following expressions:
MS = ets:match_spec_compile([{'_',[],[true]}]), Broken = binary_to_term(term_to_binary(MS)), ets:is_compiled_ms(Broken).
will yield false, as the variable Broken
will contain
a compiled match_spec that has passed through external
representation.
The fact that compiled match_specs has no external representation is for performance reasons. It may be subject to change in future releases, while this interface will still remain for backward compatibility reasons. |
last(Tab) -> Key | '$end_of_table'
Types:
Tab = tid() | atom()
Key = term()
Returns the last key Key
according to Erlang term
order in the table Tab
of the ordered_set
type.
If the table is of any other type, the function is synonymous
to first/2
. If the table is empty,
'$end_of_table'
is returned.
Use prev/2
to find preceding keys in the table.
Types:
Tab = tid() | atom()
Key = term()
Object = tuple()
Returns a list of all objects with the key Key
in
the table Tab
.
If the table is of type set
or ordered_set
,
the function returns either the empty list or a list with one
element, as there cannot be more than one object with the same
key. If the table is of type bag
or
duplicate_bag
, the function returns a list of
arbitrary length.
Note that the time order of object insertions is preserved; The first object inserted with the given key will be first in the resulting list, and so on.
Insert and look-up times in tables of type set
,
bag
and duplicate_bag
are constant, regardless
of the size of the table. For the ordered_set
data-type, time is proportional to the (binary) logarithm of
the number of objects.
lookup_element(Tab, Key, Pos) -> Elem
Types:
Tab = tid() | atom()
Key = term()
Pos = int()
Elem = term() | [term()]
If the table Tab
is of type set
or
ordered_set
, the function returns the Pos
:th
element of the object with the key Key
.
If the table is of type bag
or duplicate_bag
,
the functions returns a list with the Pos
:th element of
every object with the key Key
.
If no object with the key Key
exists, the function
will exit with reason badarg
.
match(Tab, Pattern) -> [Match]
Types:
Tab = tid() | atom()
Pattern = tuple()
Match = [term()]
Matches the objects in the table Tab
against the
pattern Pattern
.
A pattern is a term that may contain:
'_'
which matches any Erlang term, and
'$N'
where
N
=0,1,...
The function returns a list with one element for each matching object, where each element is an ordered list of pattern variable bindings. An example:
6> ets:match(T, '$1'). % Matches every object in the table [[{rufsen,dog,7}],[{brunte,horse,5}],[{ludde,dog,5}]] 7> ets:match(T, {'_',dog,'$1'}). [[7],[5]] 8> ets:match(T, {'_',cow,'$1'}). []
If the key is specified in the pattern, the match is very efficient. If the key is not specified, i.e. if it is a variable or an underscore, the entire table must be searched. The search time can be substantial if the table is very large.
On tables of the ordered_set
type, the result is in
the same order as in a first/next
traversal.
match(Tab, Pattern, Limit) -> {[Match],Continuation} |
'$end_of_table'
Types:
Tab = tid() | atom()
Pattern = tuple()
Match = [term()]
Continuation = term()
Works like ets:match/2
but only returns a limited
(Limit
) number of matching objects. The
Continuation
term can then be used in subsequent calls
to ets:match/1
to get the next chunk of matching
objects. This is a space efficient way to work on objects in a
table which is still faster than traversing the table object
by object using ets:first/1
and ets:next/1
.
'$end_of_table'
is returned if the table is empty.
match(Continuation) -> {[Match],Continuation} |
'$end_of_table'
Types:
Match = [term()]
Continuation = term()
Continues a match started with ets:match/3
. The next
chunk of the size given in the initial ets:match/3
call is returned together with a new Continuation
that can be used in subsequent calls to this function.
'$end_of_table'
is returned when there are no more
objects in the table.
match_delete(Tab, Pattern) -> true
Types:
Tab = tid() | atom()
Pattern = tuple()
Deletes all objects which match the pattern Pattern
from the table Tab
. See match/2
for a
description of patterns.
match_object(Tab, Pattern) -> [Object]
Types:
Tab = tid() | atom()
Pattern = Object = tuple()
Matches the objects in the table Tab
against the
pattern Pattern
. See match/2
for a description
of patterns. The function returns a list of all objects which
match the pattern.
If the key is specified in the pattern, the match is very efficient. If the key is not specified, i.e. if it is a variable or an underscore, the entire table must be searched. The search time can be substantial if the table is very large.
On tables of the ordered_set
type, the result is in
the same order as in a first/next
traversal.
match_object(Tab, Pattern, Limit) -> {[Match],Continuation}
| '$end_of_table'
Types:
Tab = tid() | atom()
Pattern = tuple()
Match = [term()]
Continuation = term()
Works like ets:match_object/2
but only returns a
limited (Limit
) number of matching objects. The
Continuation
term can then be used in subsequent calls
to ets:match_object/1
to get the next chunk of matching
objects. This is a space efficient way to work on objects in a
table which is still faster than traversing the table object
by object using ets:first/1
and ets:next/1
.
'$end_of_table'
is returned if the table is empty.
match_object(Continuation) -> {[Match],Continuation} |
'$end_of_table'
Types:
Match = [term()]
Continuation = term()
Continues a match started with ets:match_object/3
.
The next chunk of the size given in the initial
ets:match_object/3
call is returned together with a
new Continuation
that can be used in subsequent calls
to this function.
'$end_of_table'
is returned when there are no more
objects in the table.
match_spec_compile(MatchSpec) -> CompiledMatchSpec
Types:
MatchSpec = match_spec()
CompiledMatchSpec = comp_match_spec()
This function transforms a
match_spec into an
internal representation that can be used in subsequent calls
to ets:match_spec_run/2
. The internal representation is
opaque and can not be converted to external term format and
then back again without losing its properties (meaning it can
not be sent to a process on another node and still remain a
valid compiled match_spec, nor can it be stored on disk).
The validity of a compiled match_spec can be checked using
ets:is_compiled_ms/1
.
If the term MatchSpec
can not be compiled (does not
represent a valid match_spec), a badarg
fault is
thrown.
This function has limited use in normal code, it is used by
Dets to perform the |
match_spec_run(List,CompiledMatchSpec) -> list()
Types:
List = [ tuple() ]
CompiledMatchSpec = comp_match_spec()
This function executes the matching specified in a
compiled match_spec on
a list of tuples. The CompiledMatchSpec
term should be
the result of a call to ets:match_spec_compile/1
and
is hence the internal representation of the match_spec one
wants to use.
The matching will be executed on each element in List
and the function returns a list containing all results. If an
element in List
does not match, nothing is returned
for that element. The length of the result list is therefore
equal or less than the the length of the parameter
List
. The two calls in the following example will give
the same result (but certainly not the same execution
time...):
Table = ets:new... MatchSpec = .... % The following call... ets:match_spec_run(ets:tab2list(Table), ets:match_spec_compile(MatchSpec)), % ...will give the same result as the more common (and more efficient) ets:select(Table,MatchSpec),
This function has limited use in normal code, it is used by
Dets to perform the |
member(Tab, Key) -> true | false
Types:
Tab = tid() | atom()
Key = term()
Works like lookup/2
, but does not return the objects.
The function returns true
if one or more elements in
the table has the key Key
, false
otherwise.
Types:
Name = atom()
Options = [Option]
Option = Type | Access | named_table | {keypos,Pos}
Type = set | ordered_set | bag | duplicate_bag
Access = public | protected | private
Pos = int()
Creates a new table and returns a table identifier which can be used in subsequent operations. The table identifier can be sent to other processes so that a table can be shared between different processes within a node.
The parameter Options
is a list of atoms which
specifies table type, access rights, key position and if the
table is named or not. If one or more options are left out,
the default values are used. This means that not specifying
any options ([]
) is the same as specifying
[set,protected,{keypos,1}]
.
set
The table is a set
table - one key, one object,
no order among objects. This is the default table type.
ordered_set
The table is a ordered_set
table - one key, one
object, ordered in Erlang term order, which is the order
implied by the < and > operators. Tables of this type
have a somewhat different behavior in some situations
than tables of the other types.bag
The table is a bag
table which can have many
objects, but only one instance of each object, per key.
duplicate_bag
The table is a duplicate_bag
table which can have
many objects, including multiple copies of the same
object, per key.public
Any process may read or write to the table.protected
The owner process can read and write to the table. Other
processes can only read the table. This is the default
setting for the access rights.private
Only the owner process can read or write to the table.named_table
If this option is present, the name Name
is
associated with the table identifier. The name can then
be used instead of the table identifier in subsequent
operations.{keypos,Pos}
Specfies which element in the stored tuples should be
used as key. By default, it is the first element, i.e.
Pos=1
. However, this is not always appropriate. In
particular, we do not want the first element to be the
key if we want to store Erlang records in a table.Pos
number of elements.next(Tab, Key1) -> Key2 | '$end_of_table'
Types:
Tab = tid() | atom()
Key1 = Key2 = term()
Returns the next key Key2
, following the key
Key1
in the table Tab
. If the table is of the
ordered_set
type, the next key in Erlang term order is
returned. If the table is of any other type, the next key
according to the table's internal order is returned. If there
is no next key, '$end_of_table'
is returned.
Use first/1
to find the first key in the table.
Unless a table of type set
, bag
or
duplicate_bag
is protected using
safe_fixtable/2
, see below, a traversal may fail if
concurrent updates are made to the table. If the table is of
type ordered_set
, the function returns the next key in
order, even if the object does no longer exist.
prev(Tab, Key1) -> Key2 | '$end_of_table'
Types:
Tab = tid() | atom()
Key1 = Key2 = term()
Returns the previous key Key2
, preceding the key
Key1
according the Erlang term order in the table
Tab
of the ordered_set
type. If the table is of
any other type, the function is synonymous to next/2
.
If there is no previous key, '$end_of_table'
is
returned.
Use last/1
to find the last key in the table.
Types:
Tab = Name = atom()
Renames the named table Tab
to the new name
Name
. Afterwards, the old name can not be used to
access the table. Renaming an unnamed table has no effect.
repair_continuation(Continuation, MatchSpec) -> Continuation
Types:
Continuation = term()
MatchSpec = match_spec()
This function can be used to restore an opaque continuation
returned by ets:select/3
or ets:select/1
if the
continuation has passed through external term format (been
sent between nodes or stored on disk).
The reason for this function is that continuation terms
contain compiled match_specs and therefore will be
invalidated if converted to external term format. Given that
the original match_spec is kept intact, the continuation can
be restored, meaning it can once again be used in subsequent
ets:select/1
calls even though it has been stored on
disk or on another node.
As an example, the following seqence of calls will fail:
T=ets:new(x,[]), ... {_,C} = ets:select(T,ets:fun2ms(fun({N,_}=A) when (N rem 10) =:= 0 -> A end),10), Broken = binary_to_term(term_to_binary(C)), ets:select(Broken).
...while the following sequence will work:
T=ets:new(x,[]), ... MS = ets:fun2ms(fun({N,_}=A) when (N rem 10) =:= 0 -> A end), {_,C} = ets:select(T,MS,10), Broken = binary_to_term(term_to_binary(C)), ets:select(ets:repair_continuation(Broken,MS)).
...as the call to ets:repair_continuation/2
will
reestablish the (deliberately) invalidated continuation
Broken
.
This function is very rarely needed in application code. It
is used by Mnesia to implement distributed The reason for not having an external representation of a compiled match_spec is performance. It may be subject to change in future releases, while this interface will remain for backward compatibility. |
safe_fixtable(Tab, true|false) -> true
Types:
Tab = tid() | atom()
Fixes a table of the set
, bag
or
duplicate_bag
table type for safe traversal.
A process fixes a table by calling
safe_fixtable(Tab,true)
. The table remains fixed until
the process releases it by calling
safe_fixtable(Tab,false)
, or until the process
terminates.
If several processes fix a table, the table will remain fixed until all processes have released it (or terminated). A reference counter is kept on a per process basis, and N consecutive fixes requires N releases to actually release the table.
When a table is fixed, a sequence of first/1
and
next/2
calls are guaranteed to succeed even if objects
are removed during the traversal. An example:
clean_all_with_value(Tab,X) -> safe_fixtable(Tab,true), clean_all_with_value(Tab,X,ets:first(Tab)), safe_fixtable(Tab,false). clean_all_with_value(Tab,X,'$end_of_table') -> true; clean_all_with_value(Tab,X,Key) -> case ets:lookup(Tab,Key) of [{Key,X}] -> ets:delete(Tab,Key); _ -> true end, clean_all_with_value(Tab,X,ets:next(Tab,Key)).
Note that no deleted objects are actually removed from a fixed table until it has been released. If a process fixes a table but never releases it, the memory used by the deleted objects will never be freed. The performance of operations on the table will also degrade significantly.
Use info/2
to retrieve information about which
processes have fixed which tables. A system with a lot of
processes fixing tables may need a monitor which sends alarms
when tables have been fixed for too long.
Note that for tables of the ordered_set
type,
safe_fixtable/2
is not necessary as calls to
first/1
and next/2
will always succeed.
select(Tab, MatchSpec) -> [Match]
Types:
Tab = tid() | atom()
Match = term()
MatchSpec = match_spec()
Matches the objects in the table Tab
using a
match_spec. This is a
more general call than the ets:match/2
and
ets:match_object/2
calls. In its simplest forms the
match_specs look like this:
This means that the match_spec is always a list of one or
more tuples (of arity 3). The tuples first element should be
a pattern as described in the documentation of
ets:match/2
. The second element of the tuple should
be a list of 0 or more guard tests (described below). The
third element of the tuple should be a list containing a
description of the value to actually return. In almost all
normal cases the list contains exactly one term which fully
describes the value to return for each object.
The return value is constructed using the "match variables"
bound in the MatchHead or using the special match variables
'$_'
(the whole matching object) and '$$'
(all
match variables in a list), so that the following
ets:match/2
expression:
ets:match(Tab,{'$1','$2','$3'})
is exactly equivalent to:
ets:select(Tab,[{{'$1','$2','$3'},[],['$$']}])
- and the following ets:match_object/2
call:
ets:match_object(Tab,{'$1','$2','$1'})
is exactly equivalent to
ets:select(Tab,[{{'$1','$2','$1'},[],['$_']}])
Composite terms can be constructed in the Result
part
either by simply writing a list, so that this code:
ets:select(Tab,[{{'$1','$2','$3'},[],['$$']}])
gives the same output as:
ets:select(Tab,[{{'$1','$2','$3'},[],[['$1','$2','$3']]}])
i.e. all the bound variables in the match head as a list. If
tuples are to be constructed, one has to write a tuple of
arity 1 with the single element in the tuple being the tuple
one wants to construct (as an ordinary tuple could be mistaken
for a Guard
). Therefore the following call:
ets:select(Tab,[{{'$1','$2','$1'},[],['$_']}])
gives the same output as:
ets:select(Tab,[{{'$1','$2','$1'},[],[{{'$1','$2','$3'}}]}])
- this syntax is equivalent to the syntax used in the trace patterns (see dbg(3)).
The Guard
s are constructed as tuples where the first
element is the name of the test and the rest of the elements
are the parameters of the test. To check for a specific type
(say a list) of the element bound to the match variable
'$1'
, one would write the test as
{is_list, '$1'}
. If the test fails, the object in the
table will not match and the next MatchFunction
(if
any) will be tried. Most guard tests present in Erlang can be
used, but only the new versions prefixed is_
are
allowed (like is_float
, is_atom
etc).
The Guard
section can also contain logic and
arithmetic operations, which are written with the same syntax
as the guard tests (prefix notation), so that a guard test
written in Erlang looking like this:
is_integer(X), is_integer(Y), X + Y < 4711
is expressed like this (X replaced with '$1' and Y with '$2'):
[{is_integer, '$1'}, {is_integer, '$2'}, {'<', {'+', '$1', '$2'}, 4711}]
select(Tab, MatchSpec, Limit) -> {[Match],Continuation} |
'$end_of_table'
Types:
Tab = tid() | atom()
Match = term()
MatchSpec = match_spec()
Continuation = term()
Works like ets:select/2
but only returns a limited
(Limit
) number of matching objects. The
Continuation
term can then be used in subsequent calls
to ets:select/1
to get the next chunk of matching
objects. This is a space efficient way to work on objects in a
table which is still faster than traversing the table object
by object using ets:first/1
and ets:next/1
.
'$end_of_table'
is returned if the table is empty.
select(Continuation) -> {[Match],Continuation} |
'$end_of_table'
Types:
Match = term()
Continuation = term()
Continues a match started with
ets:select/3
. The next
chunk of the size given in the initial ets:select/3
call is returned together with a new Continuation
that can be used in subsequent calls to this function.
'$end_of_table'
is returned when there are no more
objects in the table.
select_delete(Tab, MatchSpec) -> NumDeleted
Types:
Tab = tid() | atom()
Object = tuple()
MatchSpec = match_spec()
NumDeleted = integer()
Matches the objects in the table Tab
using a
match_spec. If the
match_spec returns true
for an object, that object is
removed from the table. For any other result from the
match_spec the object is retained. This is a more general
call than the ets:match_delete/2
call.
The function returns the number of objects actually deleted from the table.
select_count(Tab, MatchSpec) -> NumMatched
Types:
Tab = tid() | atom()
Object = tuple()
MatchSpec = match_spec()
NumMatched = integer()
Matches the objects in the table Tab
using a
match_spec. If the
match_spec returns true
for an object, that object
considered a match and is counted. For any other result from
the match_spec the object is not considered a match and is
therefore not counted.
The function could be described as a match_delete/2
that does not actually delete any elements, but only counts
them.
The function returns the number of objects matched.
slot(Tab, I) -> [Object] | '$end_of_table'
Types:
Tab = tid() | atom()
I = int()
Object = tuple()
This function is mostly for debugging purposes, Normally
one should use first/next
or last/prev
instead.
Returns all objects in the I
:th slot of the table
Tab
. A table can be traversed by repeatedly calling
the function, starting with the first slot I=0
and
ending when '$end_of_table'
is returned.
The function will fail with reason badarg
if the
I
argument is out of range.
Unless a table of type set
, bag
or
duplicate_bag
is protected using
safe_fixtable/2
, see above, a traversal may fail if
concurrent updates are made to the table. If the table is of
type ordered_set
, the function returns a list
containing the I
:th object in Erlang term order.
tab2file(Tab, Filename) -> ok | {error,Reason}
Types:
Tab = tid() | atom()
Filename = string() | atom()
Reason = term()
Dumps the table Tab
to the file Filename
.
The implementation of this function is not efficient.
Types:
Tab = tid() | atom()
Object = tuple()
Returns a list of all objects in the table Tab
.
table(Tab [, Options]) -> QueryHandle
Types:
Tab = tid() | atom()
QueryHandle = - a query handle, see qlc(3) -
Options = [Option] | Option
Option = {n_objects, NObjects}
| {traverse, TraverseMethod}
NObjects = default | integer() > 0
TraverseMethod = first_next
| last_prev
| select
| {select, MatchSpec}
MatchSpec = match_spec()
Returns a QLC (Query List
Comprehension) query handle. The module qlc
implements
a query language aimed mainly at Mnesia but ETS tables, Dets
tables, and lists are also recognized by QLC as sources of
data. Calling ets:table/1,2
is the means to make the
ETS table Tab
usable to QLC.
When there are only simple restrictions on the key position
QLC uses ets:lookup/2
to look up the keys, but when
that is not possible the whole table is traversed. The
option traverse
determines how this is done:
first_next
. The table is traversed one key at
a time by calling ets:first/1
and
ets:next/2
.last_prev
. The table is traversed one key at
a time by calling ets:last/1
and
ets:prev/2
.select
. The table is traversed by calling
ets:select/3
and ets:select/1
. The option
n_objects
determines the number of objects
returned (the third argument of select/3
); the
default is to return 100
objects at a time. The
match_spec (the
second argument of select/3
) is assembled by QLC:
simple filters are translated into equivalent match_specs
while more complicated filters have to be applied to all
objects returned by select/3
given a match_spec
that matches all objects.{select, MatchSpec}
. As for select
the table is traversed by calling ets:select/3
and
ets:select/1
. The difference is that the
match_spec is explicitly given. This is how to state
match_specs that cannot easily be expressed within the
syntax provided by QLC.The following example uses an explicit match_spec to traverse the table:
9> ets:insert(Tab = ets:new(t, []), [{1,a},{2,b},{3,c},{4,d}]), MS = ets:fun2ms(fun({X,Y}) when (X > 1) or (X < 5) -> {Y} end), QH1 = ets:table(Tab, [{traverse, {select, MS}}]).
An example with implicit match_spec:
10> QH2 = qlc:q([{Y} || {X,Y} <- ets:table(Tab), (X > 1) or (X < 5)]).
The latter example is in fact equivalent to the former which
can be verified using the function qlc:info/1
:
11> qlc:info(QH1) =:= qlc:info(QH2). true
qlc:info/1
returns information about a query handle,
and in this case identical information is returned for the
two query handles.
test_ms(Tuple, MatchSpec) -> {ok, Result} | {error, Errors}
Types:
Tuple = tuple()
MatchSpec = match_spec()
Result = term()
Errors = [{warning|error, string()}]
This function is a utility to test a
match_spec used in
calls to ets:select/2
. The function both tests
MatchSpec
for "syntactic" correctness and runs the
match_spec against the object Tuple
. If the match_spec
contains errors, the tuple {error, Errors}
is returned
where Errors
is a list of natural language
descriptions of what was wrong with the match_spec. If the
match_spec is syntactically OK, the function returns
{ok,Term}
where Term
is what would have been
the result in a real ets:select/2
call or false
if the match_spec does not match the object Tuple
.
This is a useful debugging and test tool, especially when
writing complicated ets:select/2
calls.
Types:
Tab = tid() | atom()
DetsTab = atom()
Fills an already created/opened Dets table with the objects
in the already opened ETS table named Tab
. The Dets
table is emptied before the objects are inserted.
update_counter(Tab, Key, {Pos,Incr,Threshold,SetValue}) ->
Result
update_counter(Tab, Key, {Pos,Incr}) -> Result
update_counter(Tab, Key, Incr) -> Result
Types:
Tab = tid() | atom()
Key = term()
Pos = Incr = Threshold = SetValue = Result = int()
This function provides an efficient way to update a counter, without the hassle of having to look up an object, update the object by incrementing an element and insert the resulting object into the table again. (The update is done atomically; i.e. no process can access the ets table in the middle of the operation.)
It will destructively update the object with key Key
in the table Tab
by adding Incr
to the element
at the Pos
:th position. The new counter value is
returned. If no position is specified, the element directly
following the key (<keypos>+1
) is updated.
If a Threshold
is specified, the counter will be
reset to the value SetValue
if the following
conditions occur:
Incr
is not negative (>= 0
) and the
result would be greater than (>
) Threshold
Incr
is negative (< 0
) and the
result would be less than (<
)
Threshold
The function will fail with reason badarg
if:
set
or
ordered_set
,
Pos
, Incr
, Threshold
or
SetValue
is not an integer