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SQL: Matching whole string unsorted


SQL: Matching whole string unsorted

By : maus
Date : November 17 2020, 11:52 AM
I wish this help you You can do this. Join the People table with the Table values Function dbo.Split on Like condition. Something like this.
code :
SELECT First_Name
FROM   PEOPLE A
       JOIN dbo.Split(@FULL_NAME, ',') B
         ON A.First_Name + ' ' + A.Last_Name LIKE '%' + B.strval + '%'
GROUP  BY first_name
HAVING Count (*) = (SELECT Count(*)
                    FROM   dbo.Split(@FULL_NAME, ',')) 


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What's the most efficient way to retrieve all matching documents from a query in Lucene, unsorted?

What's the most efficient way to retrieve all matching documents from a query in Lucene, unsorted?


By : Michelle Anderson
Date : March 29 2020, 07:55 AM
This might help you Turns out this was a lot easier than I expected. I just used the example implementation at http://lucene.apache.org/java/2_9_0/api/core/org/apache/lucene/search/Collector.html and recorded the doc numbers passed to the Collect() method in a List, exposing this as a public Docs property.
I then simply iterate this property, passing the number back to the Searcher to get the proper Document:
code :
var searcher = new IndexSearcher( reader );
var collector = new IntegralCollector(); // my custom Collector
searcher.Search( query, collector );
var result = new Document[ collector.Docs.Count ];
for ( int i = 0; i < collector.Docs.Count; i++ )
    result[ i ] = searcher.Doc( collector.Docs[ i ] );
searcher.Close(); // this is probably not needed
reader.Close();
internal class IntegralCollector: Lucene.Net.Search.Collector {
    private int _docBase;

    private List<int> _docs = new List<int>();
    public List<int> Docs {
        get { return _docs; }
    }

    public override bool AcceptsDocsOutOfOrder() {
        return true;
    }

    public override void Collect( int doc ) {
        _docs.Add( _docBase + doc );
    }

    public override void SetNextReader( Lucene.Net.Index.IndexReader reader, int docBase ) {
        _docBase = docBase;
    }

    public override void SetScorer( Lucene.Net.Search.Scorer scorer ) {
    }
}
Optimized Algorithm for matching between two (unsorted) data tables?

Optimized Algorithm for matching between two (unsorted) data tables?


By : Nakeun Choi
Date : March 29 2020, 07:55 AM
this one helps. Oh boy, code with lots of opportunities for simplification. You can reduce the scope of local variables, removing any temptation to assign them unused values. You can also convert For loops to ForEach loops when you don't use the index except to access a collection.
Initial simplification:
code :
private void RunMatchingAlgorithm() {
    foreach (var databaseRow in dtFromTableContracts.Rows) {
        string partNumber2 = databaseRow["supplier_part_no"].ToString();
        string contract_no2 = databaseRow["contract_no"].ToString();
        DateTime expiration_date2 = Convert.ToDateTime(databaseRow["con_end_date"]).Date;

        foreach (var excelRow in dtConversion.Rows) {
            string contract_no = excelRow["vend_contract_no"].ToString();

            //If we have even a partial match, check for a part number match
            if (contract_no2.StartsWith(contract_no)) {
                string partNumber = excelRow["vend_item_id"].ToString();

                //If the values match, populate from both tables
                if (partNumber == partNumber2) {
                    excelRow["wpd_expiration_date"] = expiration_date2.Date;
                    excelRow["wpd_cont_cost"] = databaseRow["contract_cost"];
                    excelRow["wpd_contract_no"] = databaseRow["contract_no"];
                    excelRow["wpd_item_id"] = databaseRow["supplier_part_no"];
                    excelRow["wpd_item_no"] = databaseRow["item_id"];
                    excelRow["discontinued"] = databaseRow["discontinued"];
                    excelRow["job_no"] = databaseRow["job_no"];
                }
            }
        }
    }
}
private void RunMatchingAlgorithm() {
    var matches = from databaseRow in dtFromTableContracts.Rows
                  let partNumber2 = databaseRow["supplier_part_no"].ToString()
                  let contract_no2 = databaseRow["contract_no"].ToString()
                  let expiration_date2 = Convert.ToDateTime(databaseRow["con_end_date"]).Date
                  from excelRow in dtConversion.Rows
                  let contract_no = excelRow["vend_contract_no"].ToString()
                  where contract_no2.StartsWith(contract_no)
                  let partNumber = excelRow["vend_item_id"].ToString()
                  where partNumber == partNumber2
                  select new { databaseRow, excelRow, expiration_date2 }
    foreach (var m in matches) {
        var dst = m.excelRow;
        var src = m.databaseRow;

        dst["wpd_expiration_date"] = m.expiration_date2.Date;
        dst["wpd_cont_cost"] = src["contract_cost"];
        dst["wpd_contract_no"] = src["contract_no"];
        dst["wpd_item_id"] = src["supplier_part_no"];
        dst["wpd_item_no"] = src["item_id"];
        dst["discontinued"] = src["discontinued"];
        dst["job_no"] = src["job_no"];
    }
}
private void RunMatchingAlgorithm() {
    var matches = from databaseRow in dtFromTableContracts.Rows
                  join excelRow in dtConversion.Rows
                  on excelRow["vend_item_id"].ToString() equals databaseRow["supplier_part_no"].ToString()
                  where databaseRow["contract_no"].ToString().StartsWith(excelRow["vend_contract_no"].ToString())
                  select new { databaseRow, excelRow }
    foreach (var m in matches) {
        var dst = m.excelRow;
        var src = m.databaseRow;

        dst["wpd_expiration_date"] = Convert.ToDateTime(src["con_end_date"]).Date;
        dst["wpd_cont_cost"] = src["contract_cost"];
        dst["wpd_contract_no"] = src["contract_no"];
        dst["wpd_item_id"] = src["supplier_part_no"];
        dst["wpd_item_no"] = src["item_id"];
        dst["discontinued"] = src["discontinued"];
        dst["job_no"] = src["job_no"];
    }
}
Creating an unsorted binary tree from an array (which will be like a heap ie storing order wise but unsorted)

Creating an unsorted binary tree from an array (which will be like a heap ie storing order wise but unsorted)


By : Rahul Malhotra
Date : March 29 2020, 07:55 AM
wish help you to fix your issue If you want to insert the integers in index-order, then you need to convert the index into a path from the root to the place where it shall be inserted,
code :
0 -> ""
1 -> "L"
2 -> "R"
3 -> "LL"
4 -> "LR"
5 -> "RL"
...
// get us a new pointer to a properly NULL-initialised tree
tree *newEmptyTree(void) {
    tree *new = malloc(sizeof *new);
    if (!new) {
        fputs(stderr, "Allocation of tree* failed.");
        exit(EXIT_FAILURE);
    }
    new->data = NULL;
    new->l = NULL;
    new->r = NULL;
    return new;
}

// make a heap from part of an array
tree *heap_from_array(int arr[], int index, int elements) {
    // when we're past the end of the array, there's nothing to do anymore
    if (index >= elements) return NULL;

    // Otherwise, get us a new tree
    tree *this = newEmptyTree();
    // store current element
    this->data = arr[index];
    // fill left subtree
    this->l = heap_from_array(arr, 2*index + 1, elements);
    // fill right
    this-> r = heap_from_array(arr, 2*index + 2, elements);
    // done, return the thing
    return this;
}
void insert1( tree * root,int arr[],int n) {
    // check whether root is not NULL
    if (!root) {
        fputs(stderr, "Got a NULL root, can't insert.");
        exit(1);
    }
    // now let's hope that root is a valid pointer
    // first check whether the array does contain elements
    if (n < 0) {
        fputs(stderr, "Got no array elements, can't insert.");
        exit(EXIT_FAILURE);
    }
    // okiedokie, get going
    root->data = arr[0];
    root->l = heap_from_array(arr, 1, n);
    root->r = heap_from_array(arr, 2, n);
    // done :D
}
What is the best approach to matching/joining elements in two non-identical unsorted python lists of different lengths?

What is the best approach to matching/joining elements in two non-identical unsorted python lists of different lengths?


By : João Pereira
Date : March 29 2020, 07:55 AM
I wish this helpful for you I finally realised Python has the difflib library for just this kind of thing!
code :
a = [1, 2, 1, 3, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 3, 1, 2]  
b = [1, 1, 2, 1, 3, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 3, 1, 2]  

from difflib import SequenceMatcher  

s = SequenceMatcher(None, a, b, autojunk=False)  

matched_element_indices = []
for m in s.get_matching_blocks():
    matched_element_indices += [(m.a+i,m.b+i) for i in range(m.size)]
In : matched_element_indices
Out: [(0, 1), (1, 2), (2, 3), (3, 4), (5, 6), (6, 7), (7, 8), (8, 9), 
           (10, 11), (11, 12), (12, 13), (13, 14), (14, 15), (15, 16), (16, 17)]
Awk to print matching lines from two unsorted files

Awk to print matching lines from two unsorted files


By : bitfiddler
Date : March 29 2020, 07:55 AM
I hope this helps . I am trying to compare two files and i need to print the matching lines from both the files.
code :
awk 'FNR==NR{a[$1,$3]=$0}FNR!=NR{if(a[$1,$3])print a[$1,$3] "\n" $0}' f1 f2 
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