I have a table with a column defined as follows:
PrincipalBalance DECIMAL(13,2) NOT NULL
I have a stored procedure that returns that value as follows:
SELECT D.PrincipalBalance
FROM MyTable AS D
WHERE ID = #myKey;
If I inspect the metadata for the table, the column definition is correct (it shows as DECIMAL(13,2).) It shows with the correct type in Object Explorer as well. However, IntelliSense for the column in the stored procedure shows that it is an INT, which is thoroughly puzzling.
The only workaround I have found for this is to use a CAST/CONVERT in the stored procedure, which seems like it should be unnecessary.
Note Earlier today I experienced the same problem with a decimal column that the was being returned as a VARCHAR(50) (or some other relevant length). It's interesting that in both cases, the value of the decimal column was zero.
What is going on here? Why is SQL Server selecting the wrong type?
I am trying to run a CSV import using the COPY command for some data that includes a guillemet (»). Redshift complains that the column value is too long for the varchar column I have defined. The error in the "Loads" tab in the Redshift GUI displays this character as two dots: .. - had it been treated as one, it would have fit in the varchar column. It's not clear whether there is some sort of conversion error occurring or if there is a display issue.
When trying to do plain INSERTs I run into strange behavior as well:
dev=# create table test (name varchar(3));
CREATE TABLE
dev=# insert into test values ('bla');
INSERT 0 1
3 characters treated as 4?
dev=# insert into test values ('bl»');
ERROR: value too long for type character varying(3)
dev=# insert into test values ('b»');
INSERT 0 1
Why does char_length return 2?
dev=# select char_length(name), name from test;
char_length | name
-------------+------
2 | b»
I've checked the client encoding and database encodings and those all seem to be UTF8/UNICODE.
You need to increase the length of your varchar field. Multibyte characters use more than one character and length in the definition of varchar field are byte based. So, your special char might be taking more than a byte. If it still doesn't work refer to the doc page for Redshift below,
http://docs.aws.amazon.com/redshift/latest/dg/multi-byte-character-load-errors.html
I have a table named "temp_table" and a column named "temp_column" of type varchar. The problem is "temp_column" must be of type integer. If I will just automatically update the table into type integer, it will generate an error since some data has non-numeric data in it.
I want a query that will show all rows if "temp_column" has non-numeric values in it (or the other way around) and update or SET the value accordingly. I'm having a hard time since ISNUMERIC is not available in postgresql.
how to do this?
This will show all rows where you have non-integer values in that column. It uses a regular expression to find all values that have anything else than just numbers in it:
select *
from temp_table
where temp_column ~ '[^0-9]';
this can also be used in an update statement:
update temp_table
set temp_column = null
where temp_column ~ '[^0-9]';
This will also filter out "numeric" values like 3.14 as those aren't integers.
select rtrim(char(PKG_AGR_IDR)),rtrim(char(STA_DTE))
from test FETCH FIRST 10 ROW ONLY
"0010000010. 2014-03-14"
"0010000010. 2014-03-14"
I need data as below:
0010000010 2014-03-14
I am planning to write a script to do rtrim(char(fieldname)) is there any combination of functions with which i can get proper output for both fields.
One might presume that the OP might have been written more like the following, to better describe the scenario:
Some background about what is being done will be included, such that later references [such as to field_name] will be previously-explained rather than having to be intuited by a reviewer.
The intention is to enable dynamically generating an SQL SELECT statement that will retrieve a character-representation of the data from the columns of a specified TABLE. Given the DDL create table THE_SCHEMA.TEST ( PKG_AGR_IDR NUMERIC(10, 0), STA_DTE DATE ) and given the following DML used to populate that TABLE with a sample-row insert into THE_SCHEMA.TEST VALUES(10000010. '2014-03-14'), what is desired is to obtain a result-set [limited to the first ten rows for the purpose of testing] that would include the data from each column [of the TABLE named TEST in THE_SCHEMA] as VARCHAR data, as produced from the following query that would have been generated from the metadata stored in the SYSCOLUMNS catalog VIEW:
select rtrim(char(PKG_AGR_IDR)),rtrim(char(STA_DTE))from testFETCH FIRST 10 ROW ONLY
The single expression generated as 'RTRIM(CHAR(' CONCAT COLUMN_NAME CONCAT '))' from the SYSCOLUMNS data, as seen twice in the query noted just prior, seems unable to provide desirable results when applied to a column-name irrespective the value of the DATA_TYPE of the COLUMN_NAME being formatted by that character-expression. Specifically, for example, the result of the dynamically generated query select RTRIM(CHAR(PKG_AGR_IDR)), RTRIM(CHAR(STA_DTE)) from THE_SCHEMA.TEST FETCH FIRST 10 ROW ONLY produces the following output:
0010000010. 2014-03-14
However the expected\desired output would be:
0010000010 2014-03-14
Is there any expression like RTRIM(CHAR(column_name)) that will function for all the columns in a TABLE, to obtain the data as character-string, regardless the data-type of the columns, whether they be numeric, varchar or date?
Yet even with that more complete description of the scenario\background:
The claims about what is the output from the original expression are unexpected from the CHAR scalar effecting Decimal to Character casting, at least for the DB2 for i SQL for which the zero-scale packed decimal (DECIMAL) and zoned decimal (NUMERIC) SQL data types are represented without a decimal separator [aka decimal point] despite the optional decimal-character as the second argument. As well the CHAR scalar omits leading zeroes when casting from numeric. Thus the DB2 for i SQL would have obtained a result of the string '10000010' rather than either of '0010000010.' or '10000010.'
I suppose the issue may be specific to the DB2 for Z or the DB2 LUW, and perhaps this topic was incorrectly tagged with DB2 for i? Or perhaps there may be a[n unstated] concern about an apparent incompatibility betwixt the DB2 variants? Yet having read the documentation, the described results seem contrary to what is documented, so I suspect the actual problem for the OP may be due to having encountered a defect [in whatever is the unstated variant of the DB2 and release level that is being used].?
I do not expect that there will be any one expression that will perform what is desired for each of NUMERIC, VARCHAR, and DATE [nor for each of INTEGER, SMALLINT, NUMERIC, DECIMAL, VARCHAR, and DATE]. For omission of the decimal point, the DB2 for i SQL is probably the most like what is expressed as desired, but then the leading zeroes are always trimmed http://www.ibm.com/support/knowledgecenter/ssw_ibm_i_72/db2/rbafzscachar.htm
... Leading zeros are not returned. Trailing zeros are returned. If the scale of decimal-expression is zero, the decimal character is not returned. ...
The DB2 LUW SQL seems at least somewhat incoherent with regard to the topic of leading zeroes, as example 6 suggests none and then example 7 shows they are there, but like the above doc reference, clearly there should be no leading zero characters http://www.ibm.com/support/knowledgecenter/SSEPGG_10.1.0/com.ibm.db2.luw.sql.ref.doc/doc/r0000777.html
... Leading zeros are not included. Trailing zeros are included. ... If the scale of decimal-expression is zero, the decimal character is not returned. ...
I did not research a DB2 for Z doc link.
I would expect that the solution will entail using a CASE expression, perhaps for the DATA_TYPE value. That is what I did coding something similar, though I just used VARCHAR casting scalar and did not do any trimming. However my requirement for CASE was not about keeping leading zero characters, instead mostly for choosing the correct decimal-separator character. And because the second argument decimal-character [for CHAR or VARCHAR] is disallowed for the INTEGER numeric types [sqlcode -171 aka SQL0171], the CASE expression for just the numeric types would be sufficiently resolved using just the following expression CASE WHEN DATA_TYPE IN ('INTEGER', 'SMALLINT', 'BIGINT') THEN ', ' concat DecSep concat ')' ELSE ')' appended to the 'VARCHAR(' concat where DecSep was the one-character variable having either the comma or period as the chosen decimal separator. Yet because the second argument [for CHAR or VARCHAR] is specific to the data type of the first argument, the character and date\time data types had their own CASE expression CASE WHEN DATA_TYPE IN ('DATE', 'TIME') THEN ', ' concat StdFmt concat ')' ELSE ')' appended to the 'VARCHAR(' concat where StdFmt was the three-character variable having one of the standards format specifications of ISO, USA, EUR, or JIS.
Not sure what you are asking. Remove double quotes? remove dot?
You can do a substr by providing the first and last position and also concatenate the two values.
select substr(trim(PKG_AGR_IDR), 2, 11) || ' ' || trim(char(STA_DTE))
from test FETCH FIRST 10 ROW ONLY
I'm new in postgreSQL
how to do this
select * from table_abc where table_abc.a>=7a and table_abc.b<=7a
all value is HEX in column a, b and input value
Thanks
EDIT :
table_abc
a bytea
b bytea
c text
Careful, here. In Postgres, bytea is a byte array. You look like you want to store a single byte in those columns.
I don't see a single-byte type in the list of datatypes at http://www.postgresql.org/docs/9.0/static/datatype.html.
You can go with an integer type. For example, when I say this:
select x'7A'::integer
I get 122.
If you intend to store a single byte in these columns and write your queries with hex values, then I suggest you make the columns integers and query like this:
select * from table_abc where table_abc.a>=x'7a'::integer and table_abc.b<=x'7a'::integer