syncDict

syncDict(keyObj, valueObj, [sharedName], [ordered=false])

or

syncDict(keyType, valueType, [sharedName], [ordered=false])

keyObj is a vector indicating dictionary keys.

valueObj is a vector indicating dictionary values.

keyType is the data type of dictionary keys. The following data categories are supported: Integral (excluding COMPRESSED), Temporal, Floating and Literal.

valueType is the data type of dictionary values. Note that COMPLEX/POINT/DECIMAL is not supported.

sharedName (optional) is a string. If it is specified, the dictionary is shared across sessions.

ordered (optional) is a Boolean value. The default value is false, which indicates to create a regular dictionary. True means to create an ordered dictionary. The regular dictionaries do not track the insertion order of the key-value pairs whereas the ordered dictionaries preserve the insertion order of key-value pairs.

Return a thread-safe dictionary that allows concurrent read and write by multiple threads.

x=1 2 3
y=4.5 7.8 4.3
z=syncDict(x,y);
// output
3->4.3
1->4.5
2->7.8

z=syncDict(INT,DOUBLE)
z[5]=7.9
z;
// output
5->7.9

syncDict(INT,DOUBLE, `sn)
sn[5 6]=10.99 2.33
sn[5];
// output
10.99

In the following example, concurrent write to dictionary z1 results in server crash.

def task1(mutable d,n){
    for(i in 0..n){
        d[i]=i*2
    }
}

def task2(mutable d,n){
    for(i in 0..n){
        d[i]=i+1
    }
}
n=10000000

z1=dict(INT,INT)
jobId1=submitJob("task1",,task1,z1,n)
jobId2=submitJob("task2",,task2,z1,n);

In comparison, concurrent write to the thread-safe dictionary z2 is allowed.

z2=syncDict(INT,INT)
jobId3=submitJob("task1",,task1,z2,n)
jobId4=submitJob("task2",,task2,z2,n)
getJobReturn(jobId3, true)
getJobReturn(jobId4, true)
z2;

Related: array, matrix, dictUpdate!, dict