The function is retained for backwards compatibility only. Use safe_fixtable/2 instead.

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 ETS table is emptied before the objects are inserted.

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 badarg). The module ets actually exports a function with this name, but it should never really be called except for when using the function in the shell. If the parse_transform is properly applied by including the ms_transform.hrl header file, compiled code will never call the function, but the function call is replaced by a literal match_spec.

For more information, see ms_transform(3).

i() -> void()

Displays information about all ETS tables on tty.

i(Tab) -> void()

Types

Tab = tid() | atom()

Browses the table Tab on tty.

info(Tab) -> tuple() | undefined

Types

Tab = tid() | atom()

Returns information about the table Tab as a tuple with {Item, Value} elements as specified below.

In Erlang/OTP R11B, this function will be corrected to return a list of tuples instead.

*

Item=memory, Value=int()

The number of words allocated to the table.

*

Item=owner, Value=pid()

The pid of the owner of the table.

*

Item=name, Value=atom()

The name of the table.

*

Item=size, Value=int()

The number of objects inserted in the table.

*

Item=node, Value=atom()

The node where the table is stored. This field is no longer meaningful as tables cannot be accessed from other nodes.

*

Item=named_table, Value=true|false

Indicates if the table is named or not.

*

Item=type, Value=set|ordered_set|bag|duplicate_bag

The table type.

*

Item=keypos, Value=int()

The key position.

*

Item=protection, Value=public|protected|private

The table access rights.

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

Indicates if the table is fixed by any process or not.

*

Item=safe_fixed, Value={FirstFixed, Info}|false

If the table has been fixed using 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.

If the table never has been fixed, the call returns 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.

lookup(Tab, Key) -> [Object]

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:

*

bound parts (Erlang terms),

*

'_' which matches any Erlang term, and

*

pattern variables: '$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 dets:select operations.

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 dets:select operations and by Mnesia during transactions.

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.

new(Name, Options) -> tid()

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.

Note that any tuple stored in the table must have at least 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.

rename(Tab, Name) -> Name

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 select/3 and select/1 sequences. A normal application would either use Mnesia or keep the continuation from being converted to external format.

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) -> [Object]

Types

Tab = tid() | atom()

Object = tuple()

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:

*

MatchSpec = [MatchFunction]

*

MatchFunction = {MatchHead, [Guard], [Result]}

*

MatchHead = "Pattern as in ets:match"

*

Guard = {"Guardtest name", ...}

*

Result = "Term construct"

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 Guards 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()

Object = tuple()

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.

tab2list(Tab) -> [Object]

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.

to_dets(Tab, DetsTab) -> Tab

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:

*

The Incr is not negative (>= 0) and the result would be greater than (>) Threshold

*

The Incr is negative (< 0) and the result would be less than (<) Threshold

The function will fail with reason badarg if:

*

the table is not of type set or ordered_set,

*

no object with the right key exists,

*

the object has the wrong arity,

*

the element to update is not an integer, or,

*

any of Pos, Incr, Threshold or SetValue is not an integer