Table rows filtering using vector

I have a table (11207552 x 9) from which I want to select the data for the entire row if the value in colum 1 matches any value in vector idn (177 values) for each idn there are around 3000 consecutive same values in my table.

Both the table and vector are in ascending order.

Colum 3 and 8 are strings, colum 2 is datetime and rest are double

I have tried the below code it runs fine but the values in the new table (a) are all 0, <missing> and NaT.

How do I get the values from table b into table a ?

for j=1:177
    test=idn(j);
     for i=1:11207552
         if table2array(b(i,1))==test   
            a(i,:)= b(i,:);
         end
     end
end

[Eric Sofen]

You can do this with a single indexing expression, where you logically index into id. Here's a smaller example to illustrate. The idea spans values 1:5, let's select out all the rows with an id of 1 or 3:

>> t = table(randi(5,[100,1]), randn([100,1]),'VariableNames', {'id','data'});
head(t)
ans =
  8×2 table
    id           data       
    __    __________________
    1     -0.614487094685593
    1     -0.255684360740088
    5      -1.12902046539328
    5       2.23627817005166
    1      -1.86697703038261
    2      0.465878361815095
    1     -0.382380596738338
    2      0.449432965777516

>> t1 = t(any(t.id == [1,3],2),:)
t1 =
  40×2 table
    id           data        
    __    ___________________
    1      -0.614487094685593
    1      -0.255684360740088
    1       -1.86697703038261
    1      -0.382380596738338
    3        0.30338509990999
    1       0.633698919484325
    3       -0.61973110598596
    ...