Numeric overflow in Teradata occurs while handling numeric values in computation or transformation. Numeric overflow occurs when you load value which is bigger than the range for numeric datatype. You can solve the error by casting the column to bigger datatype. Maximum possible value is decimal(38,0).
Topics Covered
Numeric overflow occurs because of 3 common reasons:
- When you load a value which is more than the permissible range of the column datatype
- When you load a value from bigger data type column into smaller data type column
- When you aggregate column value and it exceeds the possible maximum value of column datatype
Let’s dive deep into the problem statement and I will make sure that you know everything about the error which includes cause, reason and of course solution to numeric overflow error.
In Teradata, numeric values are
- BYTEINT
- SMALLINT
- INTEGER
- BIGINT
- DECIMAL/NUMERIC
- FLOAT/REAL/DOUBLE PRECISION
So whenever you get this error I want you to think about these columns and identify the columns used in query which are defined as above mentioned data type.
Important point to understand here is the storage space & permissible range of values for each column defined in the above table.
We will continue our discussion on this numeric overflow computation with an example now. So let’s create a table with some sample columns of number datatype and run some queries to reproduce the error and see the solution.
create volatile table chk_num_comp ( col_byteint byteint, col_smallint smallint, col_integer integer, col_bigint bigint ) on commit preserve rows;
| DataType | Storage (BYTE) | Range |
|---|---|---|
| BYTEINT | 1 | -128 to 127 |
| SMALLINT | 2 | -32768 to 32767 |
| INTEGER | 4 | -2147483648 to 2147483647 |
| BIGINT | 8 | -9223372036854775808 to 9223372036854775807 |
It is very important to understand the allowed value or range for any numeric datatype especially if you are fixing numeric computation error. Now you cannot remember the range all the time but you can quickly calculate it if required. For example BYTEINT occupies 1 BYTE i.e. 8 bits. So the range should be 2^8 ie. 256. But in Teradata, unlike some other RDBMS all the numeric datatypes are signed by default and you cannot change it. So the number should support negative values along with positive value. Hence the range becomes 2^7 for negative values & 2^7 for positive values. To calculate it using query , you can try below query:
select power(2,7)*-1 as min_value, power(2,7)-1 as max_value;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
min_value max_value
------------------------------ ------------------------------
-128 127
Min value has multiplication with -1 to get negative value in output. For Max value we have subtracted 1 to consider 0 as the value too. Similarly for other data type also you can calculate the permissible range.
select power(2,15)*-1 as min_value, power(2,15)-1 as max_value;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
min_value max_value
------------------------------ ------------------------------
-32768 32767
BTEQ -- Enter your SQL request or BTEQ command:
select power(2,31)*-1 as min_value, power(2,31)-1 as max_value;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
min_value max_value
------------------------------ ------------------------------
-2147483648 2147483647
BTEQ -- Enter your SQL request or BTEQ command:
select power(2,63)*-1 as min_value, power(2,63)-1 as max_value;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
min_value max_value
------------------------------ ------------------------------
-9223372036854776000 9223372036854775999
Now the BIGINT range shown above is not right and seems like some rounding issue with the output and correct value for BIGINT is -9223372036854775808 to 9223372036854775807
Let’s load a row into the table with maximum value for all the 4 datatype.
insert into chk_num_comp VALUES (127,32767,2147483647,9223372036854775807);
*** Insert completed. One row added.
*** Total elapsed time was 1 second.
BTEQ -- Enter your SQL request or BTEQ command:
SELECT * FROM chk_num_comp;
*** Query completed. One row found. 4 columns returned.
*** Total elapsed time was 1 second.
col_byteint col_smallint col_integer col_bigint
----------- ------------ ----------- --------------------
127 32767 2147483647 9223372036854775807
Whenever you will try to load a value which is more than permissible range mentioned in above table you will get some error. Now let’s see the possible error cases we can encounter.
Case 1: Load the value more than permissible range for datatype
insert into chk_num_comp VALUES (128,32767,2147483647,9223372036854775807);
*** Failure 3520 A constant value in a query is not valid for column col_byteint.
Statement# 1, Info =0
*** Total elapsed time was 1 second.
In the above example, we tried to insert «128» for byteint which gave the error. So if you don’t know the range for BYTEINT this error could be confusing because 128 is a valid number but not in range for BYTEINT column.
How to Fix not valid constant value in teradata ?
If the source value is correct, then change the datatype of the column to accommodate bigger values accordingly.
Case 2: Load the value from bigger number datatype to smaller number datatype
In this example, we will try to load byteint column from a bigint column and see what will happen.
insert into chk_num_comp (col_byteint) SELECT col_bigint FROM chk_num_comp;
*** Failure 2617 Overflow occurred computing an expression involving chk_num_comp.col_bigint
Statement# 1, Info =0
*** Total elapsed time was 1 second.
We got the overflow error. But does this mean we will always get the error when we will load a smaller number datatype from a bigger number datatype? That’s not true. If the value in the bigger column is in permissible range then smaller datatype shall be able to store it. Let’s see an example below in which we will delete the table and load a dummy row in it.
delete chk_num_comp; *** Delete completed. One row removed. *** Total elapsed time was 1 second. BTEQ -- Enter your SQL request or BTEQ command: insert into chk_num_comp(1,2,3,4); *** Insert completed. One row added. *** Total elapsed time was 1 second. BTEQ -- Enter your SQL request or BTEQ command: insert into chk_num_comp (col_byteint) SELECT col_bigint FROM chk_num_comp; *** Insert completed. One row added. *** Total elapsed time was 1 second.
So you can see the value in BIGINT column was «4» which is in permissible range for BYTEINT column. Hence it was able to load it successfully.
How to Fix Overflow occurred computing an expression in Teradata ?
It is ok to store values coming from bigger datatype into smaller datatype as long as the value is in permissible range. It is a good tuning technique which optimised storage space. However if you do expect bigger values then you must change the column datatype accordingly.
Case 3: Numeric overflow during Aggregation
In this we will see some of the common aggregate functions like count, sum, average and how we can handle this error during computation. Let’s delete and load dummy rows into the table for this example.
delete chk_num_comp; *** Delete completed. One row removed. *** Total elapsed time was 1 second. BTEQ -- Enter your SQL request or BTEQ command: insert into chk_num_comp(1,1,1,1); *** Insert completed. One row added. *** Total elapsed time was 1 second. BTEQ -- Enter your SQL request or BTEQ command: insert into chk_num_comp VALUES (127,32767,2147483647,9223372036854775807); *** Insert completed. One row added. *** Total elapsed time was 1 second.
Let’s start with the sum operation first. So for byteint column we have 2 rows with value 127 & 1. If we do sum of it then the result is 128 which is more than permissible range. So will it throw the error ? Let’s see with below example.
SELECT sum(col_byteint) AS sum_col_byteint FROM chk_num_comp;
*** Query completed. One row found. One column returned.
*** Total elapsed time was 1 second.
sum_col_byteint
---------------
128
I don’t see any error above. Why ? I will explain it but let’s run the SUM function for SMALLINT & INTEGER column first before we find the reason behind success & failure during SUM operation.
SELECT sum(col_smallint) AS sum_col_smallint FROM chk_num_comp;
*** Query completed. One row found. One column returned.
*** Total elapsed time was 1 second.
sum_col_smallint
----------------
32768
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(col_integer) AS sum_col_integer FROM chk_num_comp;
*** Failure 2616 Numeric overflow occurred during computation.
Statement# 1, Info =0
*** Total elapsed time was 1 second.
So we can see above that for SMALLINT column , we got the output. But for INTEGER we got the numeric overflow error. But why ? And the answer is in the return type of SUM function which is INTEGER.
So when the sum function added both rows with value 2147483647 + 1 , the output was more than permissible range of INTEGER column. Hence the numeric overflow error. So what about BIGINT ? For BIGINT, the return type of SUM function is BIGINT and if the calculation surpasses the BIGINT range then the same error will come for BIGINT column as well. Let’s see the example below for BIGINT.
SELECT sum(col_bigint) AS sum_col_bigint FROM chk_num_comp;
*** Failure 2616 Numeric overflow occurred during computation.
Statement# 1, Info =0
*** Total elapsed time was 1 second.
To check the return type of the SUM function, we can run below query and confirm it.
delete chk_num_comp;
*** Delete completed. 2 rows removed.
*** Total elapsed time was 1 second.
BTEQ -- Enter your SQL request or BTEQ command:
insert into chk_num_comp(1,1,1,1);
*** Insert completed. One row added.
*** Total elapsed time was 1 second.
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(col_byteint) AS sum_col_byteint , TYPE(sum_col_byteint) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
sum_col_byteint Type(sum_col_byteint)
--------------- ---------------------------------------
1 INTEGER
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(col_smallint) AS sum_col_smallint , TYPE(sum_col_smallint) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
sum_col_smallint Type(sum_col_smallint)
---------------- ---------------------------------------
1 INTEGER
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(col_integer) AS sum_col_integer , TYPE(sum_col_integer) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
sum_col_integer Type(sum_col_integer)
--------------- ---------------------------------------
1 INTEGER
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(col_bigint) AS sum_col_bigint , TYPE(sum_col_bigint) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
sum_col_bigint Type(sum_col_bigint)
-------------------- ---------------------------------------
1 BIGINT
How to fix Numeric Overflow occurred during computation in Teradata ?
You may want to explicit cast the datatype to bigger datatype while applying SUM function in order to avoid the numeric overflow error during computation. Let’s see the example below for BIGINT column.
delete chk_num_comp;
*** Delete completed. 2 rows removed.
*** Total elapsed time was 1 second.
BTEQ -- Enter your SQL request or BTEQ command:
insert into chk_num_comp VALUES (1,1,1,1);
*** Insert completed. One row added.
*** Total elapsed time was 1 second.
BTEQ -- Enter your SQL request or BTEQ command:
insert into chk_num_comp VALUES (127,32767,2147483647,9223372036854775807);
*** Insert completed. One row added.
*** Total elapsed time was 1 second.
BTEQ -- Enter your SQL request or BTEQ command:
select col_bigint from chk_num_comp;
*** Query completed. 2 rows found. One column returned.
*** Total elapsed time was 1 second.
col_bigint
--------------------
1
9223372036854775807
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(CAST(col_bigint AS decimal(38,0))) AS sum_col_integer , TYPE(sum_col_integer) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
sum_col_integer Type(sum_col_integer)
---------------------------------------- ---------------------------------------
9223372036854775808. DECIMAL(38,0)
BTEQ -- Enter your SQL request or BTEQ command:
SELECT sum(CAST(col_bigint AS decimal(38,0) FORMAT 'Z(38)9')) AS sum_col_integer , TYPE(sum_col_integer) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
sum_col_integer Type(sum_col_integer)
--------------------------------------- ---------------------------------------
9223372036854775808 DECIMAL(38,0)
In the last query , I have applied FORMAT to ignore the decimal point «.» which was coming in the output. So in this manner you can fix the error related with numeric overflow in SUM & AVERAGE aggregate function.
For COUNT you can just cast the count function to overcome this error in place of column. See the example below:
--wrong way as the output is still INTEGER type.
SELECT count(CAST(col_integer AS bigint)) AS count_col_integer , TYPE(count_col_integer) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
count_col_integer Type(count_col_integer)
----------------- ---------------------------------------
2 INTEGER
BTEQ -- Enter your SQL request or BTEQ command:
--correct way as the output is now in BIGINT type.
SELECT CAST(count(col_integer) AS bigint) AS count_col_integer , TYPE(count_col_integer) FROM chk_num_comp;
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
count_col_integer Type(count_col_integer)
-------------------- ---------------------------------------
2 BIGINT
the conversion of the varchar value overflowed an int column
If you are storing numeric values in varchar column then you must be very careful while converting it into numeric data type like integer. If the value is more than the range allowed for the numeric column then it will result in overflow error.
Very common example is the mobile number. In many tables I have seen mobile number is stored in varchar column. However if it is converted to integer it may throw overflow error. Integer max value is 2147483647 and mobile number are generally 10 digit numbers. So be careful while converting varchar value into int column to avoid overflow error.
That’s it guys. This is all I planned to cover in this post. Now you know the reason behind the numeric overflow error and the solution to it as well. Let me know if you see any more case in the comment box below and I will be happy to cover it too.
If you prefer to watch video then check the video below:
 |
Номер ошибки: | Ошибка 2683 |
| Название ошибки: | There is no object in this control | |
| Описание ошибки: | There is no object in this control.@@@1@@@1. | |
| Разработчик: | Microsoft Corporation | |
| Программное обеспечение: | Microsoft Access | |
| Относится к: | Windows XP, Vista, 7, 8, 10, 11 |
Сводка «There is no object in this control
Как правило, специалисты по ПК называют «There is no object in this control» как тип «ошибки времени выполнения». Когда дело доходит до Microsoft Access, инженеры программного обеспечения используют арсенал инструментов, чтобы попытаться сорвать эти ошибки как можно лучше. Ошибки, такие как ошибка 2683, иногда удаляются из отчетов, оставляя проблему остается нерешенной в программном обеспечении.
«There is no object in this control.@@@1@@@1.» может возникнуть у пользователей Microsoft Access даже при нормальном использовании приложения. Когда это происходит, конечные пользователи могут сообщить Microsoft Corporation о наличии ошибок «There is no object in this control». Затем Microsoft Corporation исправит ошибки и подготовит файл обновления для загрузки. Если есть уведомление об обновлении Microsoft Access, это может быть решением для устранения таких проблем, как ошибка 2683 и обнаруженные дополнительные проблемы.
Как триггеры Runtime Error 2683 и что это такое?
Проблема с исходным кодом Microsoft Access приведет к этому «There is no object in this control», чаще всего на этапе запуска. Рассмотрим распространенные причины ошибок ошибки 2683 во время выполнения:
Ошибка 2683 Crash — Ошибка 2683 может привести к полному замораживанию программы, что не позволяет вам что-либо делать. Это возникает, когда Microsoft Access не реагирует на ввод должным образом или не знает, какой вывод требуется взамен.
Утечка памяти «There is no object in this control» — этот тип утечки памяти приводит к тому, что Microsoft Access продолжает использовать растущие объемы памяти, снижая общую производительность системы. Есть некоторые потенциальные проблемы, которые могут быть причиной получения проблем во время выполнения, с неправильным кодированием, приводящим к бесконечным циклам.
Ошибка 2683 Logic Error — «логическая ошибка», как говорят, генерируется, когда программное обеспечение получает правильный ввод, но генерирует неверный вывод. Это видно, когда исходный код Microsoft Corporation включает дефект в анализе входных данных.
Как правило, такие Microsoft Corporation ошибки возникают из-за повреждённых или отсутствующих файлов There is no object in this control, а иногда — в результате заражения вредоносным ПО в настоящем или прошлом, что оказало влияние на Microsoft Access. Большую часть проблем, связанных с данными файлами, можно решить посредством скачивания и установки последней версии файла Microsoft Corporation. Запуск сканирования реестра после замены файла, из-за которого возникает проблема, позволит очистить все недействительные файлы There is no object in this control, расширения файлов или другие ссылки на файлы, которые могли быть повреждены в результате заражения вредоносным ПО.
Распространенные сообщения об ошибках в There is no object in this control
Эти проблемы Microsoft Access, связанные с There is no object in this control, включают в себя:
- «Ошибка в приложении: There is no object in this control»
- «Недопустимый файл There is no object in this control. «
- «There is no object in this control столкнулся с проблемой и закроется. «
- «К сожалению, мы не можем найти There is no object in this control. «
- «Отсутствует файл There is no object in this control.»
- «Ошибка запуска программы: There is no object in this control.»
- «Файл There is no object in this control не запущен.»
- «There is no object in this control выйти. «
- «There is no object in this control: путь приложения является ошибкой. «
Проблемы There is no object in this control с участием Microsoft Accesss возникают во время установки, при запуске или завершении работы программного обеспечения, связанного с There is no object in this control, или во время процесса установки Windows. Документирование проблем There is no object in this control в Microsoft Access является ключевым для определения причины проблем с электронной Windows и сообщения о них в Microsoft Corporation.
Источник ошибок There is no object in this control
Проблемы There is no object in this control могут быть отнесены к поврежденным или отсутствующим файлам, содержащим ошибки записям реестра, связанным с There is no object in this control, или к вирусам / вредоносному ПО.
В частности, проблемы There is no object in this control возникают через:
- Недопустимая (поврежденная) запись реестра There is no object in this control.
- Загрязненный вирусом и поврежденный There is no object in this control.
- Другая программа злонамеренно или по ошибке удалила файлы, связанные с There is no object in this control.
- Другая программа находится в конфликте с Microsoft Access и его общими файлами ссылок.
- Microsoft Access (There is no object in this control) поврежден во время загрузки или установки.
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Contents
- 1 Numeric Datatypes in Teradata
- 1.1 Numeric overflow error (code = 2616) in Teradata
- 1.2 Resolution: Up size the decimal column in Teradata
Numeric Datatypes in Teradata
Teradata provides the multiple numeric data types for the columns and it is listed below
- Byte Int – Represents a signed binary integer value in the range -128 to 127.
- Small Int – Represents a signed binary integer value in the range -32768 to 32767.
- Integer – Represents a signed, binary integer value from -2,147,483,648 to 2,147,483,647.
- Big Int – Represents a signed, binary integer value from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807.
- Float/Double – Represent values in sign/magnitude form ranging from 2.226 x 10-308 to 1.797 x 10308.
- Number – Represents a numeric value with optional precision(range is from 1 to 38) and scale limitations.
- Decimal – Represents a decimal number of n digits( range is from 1 through 38), with m(the number of fractional digits) of those n digits to the right of the decimal point.
If we try to insert the larger values than the allowed/specified size of the numeric column, Teradata will throw the numeric overflow error. Lets see the numeric overflow error for Decimal column with example.
Example : Target table ==> Banking_DB.Customer
|
CREATE SET TABLE Banking_DB.CUSTOMER ,FALLBACK , NO BEFORE JOURNAL, NO AFTER JOURNAL, CHECKSUM = DEFAULT, DEFAULT MERGEBLOCKRATIO, MAP = TD_MAP1 ( Cust_Id INTEGER, Cust_Name CHAR(20) CHARACTER SET LATIN NOT CASESPECIFIC, Join_Date DATE FORMAT ‘YYYY/MM/DD’, Mobile_Number INTEGER, Login_Count DECIMAL(8,0) ) UNIQUE PRIMARY INDEX ( Cust_Id ); |
Here the customer table is created in the Banking database. The table contains a column as Login_count that specified to Decimal(8,0). If we try to insert the value more than 8 digits for Login_count, It will throw the Numeric overflow error.Initially the table contains the two records as below.
Example : Source table ==> Banking_DB.Customer_old
The source table Customer_old contains the old and new customer details with login count. The structure and the values of the table has mentioned below.
|
CREATE MULTISET TABLE Banking_DB.customer_old ,FALLBACK , NO BEFORE JOURNAL, NO AFTER JOURNAL, CHECKSUM = DEFAULT, DEFAULT MERGEBLOCKRATIO, MAP = TD_MAP1 ( Cust_Id INTEGER, Cust_Name CHAR(20) CHARACTER SET LATIN NOT CASESPECIFIC, Join_Date DATE FORMAT ‘YYYY/MM/DD’, Mobile_Number INTEGER, Login_Count DECIMAL(8,0)) NO PRIMARY INDEX ; |
The insert query is trying to select and insert the record with the login count as 18292892 + 19292929982 for the customer id=455. Since the login count value is exceeds the 8 digits during computation in the SELECT CASE statement, it is throwing the numeric overflow error as below.
|
INSERT INTO BANKING_DB.CUSTOMER SELECT CUST_ID, CUST_NAME, JOIN_DATE, MOBILE_NUMBER, CASE WHEN CUST_NAME=‘John’ THEN LOGIN_COUNT+19292929982 — adding some values to the login count column ELSE 0 END AS LOGIN_COUNT FROM BANKING_DB.CUSTOMER_OLD WHERE CUST_ID = 455; |
Output of the insert statement
*** INSERT Failed 2616 Numeric overflow occurred during computation. ***
Resolution: Up size the decimal column in Teradata
We can up size the Login_count column from Decimal(8,0) to Decimal(38,0) in the Target table that will resolve the numeric overflow error during computation.Lets up size the column in Customer table and run the insert query again
|
DROP TABLE BANKING_DB.CUSTOMER; CREATE SET TABLE PP_SCRATCH.CUSTOMER ,FALLBACK , NO BEFORE JOURNAL, NO AFTER JOURNAL, CHECKSUM = DEFAULT, DEFAULT MERGEBLOCKRATIO, MAP = TD_MAP1 ( Cust_Id INTEGER, Cust_Name CHAR(20) CHARACTER SET LATIN NOT CASESPECIFIC, Join_Date DATE FORMAT ‘YYYY/MM/DD’, Mobile_Number INTEGER, Login_Count DECIMAL(38,0)) — Upsized the column to Decimal(38,0) UNIQUE PRIMARY INDEX ( Cust_Id ); |
The record for cust_id=455 has inserted into the customer table and it contains the Login_count value with more than 8 digits.
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Я запустил следующий код:
select cast(meas_value as float) as temperature
from meas_table
where temperature < cast('96.80' as float)
or temperature > cast('100.90' as float)
Я получаю ошибку
2620: The format or data contains bad character.
Значения температуры — 102,5, 98, 99,5, 97,7.
Select cast(meas_value as float) as temperature from meas_table where cast(meas_value as float) < cast(‘96.80’ as float) or cast(meas_value as float) > cast(‘100.90’ as float) работает на вас?
— Arulkumar
21.03.2019 08:26
Какой тип данных имеет meas_value? Если это VarChar, используйте select * from meas_table where to_number(meas_value) is null, чтобы найти неверные данные. Почему бы вам просто не написать 96.80 вместо cast(‘96.80’ as float)?
— dnoeth
21.03.2019 08:35