How to run this query correctly?

Hi Sir,

I use a query that I converted from sql to oracle but in error.

Error (4.3): PLS-00428: an INTO clause in this SELECT statement

Here's my query:

SELECT distinct Code pa.id, pa. Empcode Emp_ID, E.Emp_FirstName | ' ' || E.Emp_LastName Emp_Name, pa. Work Date1 date, pa. InPunch In_Punch, pa. OutPunch Out_Punch, pa.approve, ls. Leave_Status_text StatusText, NVL (pt.punchtype, 'day') JOIN employee E ON PunchForApproval pa e.Emp_ID punchtype is pa. Empcode LEFT JOIN Leave_status ls TO ls. Leave_Status_id = pa.approve LEFT JOIN punchtype pt ON pt.id = pa. STATUS
WHERE E.Emp_ID IN (SELECT Emp_id FROM employee) ORDER BY pa.id DESC;

Thank you

Hello
You run this in a PL/SQL procedure? If so, what the procedure called the request?

Also, did you see the error even if you add a space to the request here.

WHERE E.Emp_ID IN (SELECT Emp_id FROM employee) ORDER BY pa.id DESC;

-implement-

WHERE E.Emp_ID IN (SELECT Emp_id FROM employee) ORDER BY pa.id DESC;

Kind regards
Mike

Tags: Database

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    function errorCB(err) {
        navigator.notification.alert("Error processing SQL: " + err.code);
    }
    
    //function will be called when process succeed
    function afterSuccessTableCreation() {
        console.log("success!");
        db.transaction(getallTableData, errorCB);
    }
    
    //select all from SoccerPlayer
    function getallTableData(tx) {
        tx.executeSql('SELECT * FROM CaseTable', [], querySuccess, errorCB);
    }
    
    function querySuccess(tx, result) {
        var len = result.rows.length;
        var t;
        $('#folderData').empty();
        for (var i = 0; i < len; i++) {
    
            $('#folderData').append(
                    '
  • ' + '' + '' + '

    ' + result.rows.item(i).CaseName + t+'

    ' + '

    ' + result.rows.item(i).TextArea + '

    ' + '

    ' + result.rows.item(i).CaseDate + '

    ' + '' + i + '
    ' + '
    '+'
  • ' ); } $('#folderData').listview('refresh'); }

    Instend of show the value of 'i' in the view list, I need to show how many element in the table. I have to call synchronize because I call a query that counts the number of elements to 'result.rows.item (i). CaseName"this item... ?

    Hello

    If I understand correctly, you are looking for a SQL statement that you will get the count for the number of items in the table AB? If so, this can be useful:

    http://www.w3schools.com/SQL/sql_func_count.asp

    Please let me know if you have any other questions.

  • Why can't I run this query in parallel?

    DB version: 11.2.0.4

    Platform: Oracle Linux 6.5

    In my DB, a job with parallelism 5 as stats collection below works well. OEM, I confirm that the bottom congregate, stats job runs with 5 slave process.

    exec dbms_stats.gather_table_stats (-)

    ownname = > 'MEA ', -.

    tabname = > "ORDER_DETAIL", -.

    estimate_percent = > DBMS_STATS. AUTO_SAMPLE_SIZE, -.

    Cascade = > TRUE;

    method_opt = > 'for all THE COLUMNS of SIZE AUTO ', -.

    degree = > 5);

    Order_Detail is a table with 400 million records. I wanted to get a number of rows in this table. So, I tried to use parallelism as shown below.

    But the process of slaves were not created. The SELECT query worked only with parallelism 1. I have this cofirmed of data in real-time to OEM and gv$ view px_session.

    SQL > show parameter parallel_max_servers

    VALUE OF TYPE NAME

    ------------------------------------ ----------- ------------------------------

    PARALLEL_MAX_SERVERS around 3200

    SQL > ALTER SESSION FORCE PARALLEL QUERY 5 PARALLELS;

    Modified session.

    SQL > ALTER SESSION enable parallel query.

    Modified session.

    SQL > select / * + PARALLEL (5) * / count (*) from ptms.order_detail;

    -Also tried

    Select / * + PARALLEL(ptms.order_detail,5) * / count (*) from ptms.order_detail;

    -Also tried

    ALTER SESSION ENABLE PARALLEL DML.

    -Setting below must not be the cause. Right? ALTER SESSION command must take precedence over this setting. Right?

    SQL > select table_name, DEGREE from dba_tables where owner = 'MEA' and table_name = "ORDER_DETAIL";

    DEGREE OF TABLE_NAME

    ------------------------------  ----------------------------------------

    ORDER_DETAIL 1

    Have you tried the trick

    SELECT / * + PARALLEL * / COUNT (*)...

  • I have run this query to get the result as below, but, even if my query is running fine, that I do not get the expected result.

    I'm looking for only column compare to my same target table as a table source.

    My query:


    Select case when column_name_s is null and column_name_t is not null

    then "alter table GRADE_CONVERSION drop | column_name_t | ';'

    When column_name_s is not null and column_name_t is null

    then "alter table GRADE_CONVERSION add | column_name_s | ' ' || data_type_s | « ; »

    else 'alter table modify GRADE_CONVERSION | column_name_t | ' ' || data_type_t | « ; »

    alterations of the end

    from (select s.column_name column_name_s, t.column_name column_name_t,

    s.data_type data_type_s, t.data_type data_type_t

    (select column_name, column_id, data_type

    of all_tab_cols@database

    where owner = 'erhan.

    and table_name = "GRADE_CONVERSION."

    + 1

    full outer join

    (select column_name, column_id, data_type

    of all_tab_cols@database

    where owner = 'sarigul.

    and table_name = "GRADE_CONVERSION."

    + 6

    on s.column_name = t.column_name

    )




    Tables:



    Target table: table GRADE_CONVERSION in sarigul@database


    LETTER_GRADEVARCHAR2 (2)
    GRADE_POINTNUMBER (3.2)
    MAX_GRADENUMBER (3)
    MIN_GRADENUMBER (3)




    Table source: Table GRADE_CONVERSION in erhan@database

    LETTER_GRADEVARCHAR2 (2)
    GRADE_POINTNUMBER (3.2)
    MAX_GRADENUMBER (3)
    MIN_GRADENUMBER (3)
    CREATED_BYVARCHAR2 (30)
    CREATED_DATEDATE
    MODIFIED_BYVARCHAR2 (30)
    MODIFIED_DATEDATE



    want to see output that is similar to this * (please ignore the names of column here it's just a clear example :))


    ALTER table Target_table change BOOK_ID Varchar2 (4);

    ALTER table Target_table I addSBN_10 Varchar2(13), null;

    ALTER table drop TITLE Target_table;

    Erhan_toronto wrote:

    1.I used src.nullable src_nullable and tgt.nullable tgt_nullable but only show Yes as below: but want to see the result as not null or null

    ALTER table TEST_TARGET change the NUMBER of MAX_GRADE (3, 2) Yes

    Ok. So it's all about the Yes and the no decoding to Default Null or Not Null, isn't it?

    So, to test, change one of the table of sample for NOT NULL columns in the source table, and then run the following query:

    with src as
    (
      select src.table_name src_table_name, src.column_name src_col_name, src.data_type src_data_type, src.data_length src_data_len, src.data_precision src_data_precision, src.data_scale src_data_scale,
             src.nullable src_nullable
        from user_tab_columns src
       where table_name = 'TEST_SOURCE'
    ),
    tgt as
    (
      select tgt.table_name tgt_table_name, tgt.column_name tgt_col_name, tgt.data_type tgt_data_type, tgt.data_length tgt_data_len, tgt.data_precision tgt_data_precision, tgt.data_scale tgt_data_scale,
             tgt.nullable tgt_nullable
        from user_tab_columns tgt
       where table_name = 'TEST_TARGET'
    ),
    col_details as
    (
      select src.src_table_name, nvl(tgt.tgt_table_name, first_value(tgt_table_name) over(order by tgt_table_name nulls last)) tgt_table_name,
             src.src_col_name, src.src_data_type, src.src_data_len, src.src_data_precision, src.src_data_scale, src.src_nullable,
             tgt.tgt_col_name, tgt.tgt_data_type, tgt.tgt_data_len, tgt.tgt_data_precision, tgt.tgt_data_scale, tgt.tgt_nullable
        from src
        left outer join tgt
          on (
              src.src_col_name = tgt.tgt_col_name
             )
    )
    select *
      from (
            select case
                    when tgt_data_type != src_data_type or tgt_data_len != src_data_len or tgt_data_precision != src_data_precision or tgt_data_scale != src_data_scale or src_nullable != tgt_nullable
                      then 'alter table ' || tgt_table_name || ' modify ' || tgt_col_name || ' ' || src_data_type || ' (' ||
                      case when src_data_type in ('DATE') then null
                           else
                                case
                                  when src_data_type in ('VARCHAR', 'VARCHAR2')
                                    then nvl(to_char(src_data_len), ' ') || ') '
                                  else  decode(nvl(src_data_precision, -1), -1, null, nvl(to_char(src_data_precision), ' ') || ', ' || nvl(to_char(src_data_scale), ' ') || ')')
                                end
                      end
                      || decode(src_nullable, 'NO', ' NOT NULL', ' DEFAULT NULL')
                    when tgt_col_name is null
                      then 'alter table ' || tgt_table_name || ' add ' || src_col_name || ' ' || src_data_type ||
                      case when src_data_type in ('DATE') then null
                           else
                                case
                                  when src_data_type in ('VARCHAR', 'VARCHAR2')
                                    then nvl(to_char(src_data_len), ' ') || ') '
                                  else  decode(nvl(src_data_precision, -1), -1, null, nvl(to_char(src_data_precision), ' ') || ', ' || nvl(to_char(src_data_scale), ' ') || ')')
                                end
                      end
                      || decode(src_nullable, 'NO', ' NOT NULL', ' DEFAULT NULL')
                   end alter_statement
              from col_details
            )
    where alter_statement is not null;
    

    Erhan_toronto wrote:

    2. when I run below under user sarigul and erhan I get the result as OWNER, TABLE_NAME, COLUMN_NAME DATA_TYPE... I have a link between two users. They have access to two tables.

    • Select * from all_tab_columns

    where owner = 'erhan' and table_name = "TEST_SOURCE."

    • Select * from all_tab_columns

    where owner = 'sarigul' and table_name = "TEST_TARGET."

    Alright. This means that you both users are on the same database. Only change, you will have to do in the above query is so change user_tab_columns to all_tab_columns and add the OWNER predicate respectively with the clause.

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