I have dt
in which there are 4 rows and 35 columns. So I want to check for each row whether there is null
value supplied or not. If null
is supplied then break the condition if not then go ahead. So I tried the code below, but it’s not working and is accepting the null
values as well.
foreach (DataRow row in dt.Rows)
{
if (row["SAP_ID"] != DBNull.Value || row["CITY"] != DBNull.Value || row["FINAL_SR_DATE"] != DBNull.Value || row["FINAL_SO_DATE"] != DBNull.Value || row["INVOICE_DATE"] != DBNull.Value || row["IP_ID"] != DBNull.Value || row["APPLICABLE_MSA"] != DBNull.Value || row["SITE_CATEGORY"] != DBNull.Value || row["ID_OD"] != DBNull.Value || row["RFI_DATE"] != DBNull.Value || row["BILL_START_DATE"] != DBNull.Value || row["BILL_END_DATE"] != DBNull.Value || row["NO_OF_OPCO"] != DBNull.Value || row["ACTUAL_RENT_AMT"] != DBNull.Value || row["TENURE"] != DBNull.Value || row["GSM_ANTENNA_EXC_SAIL"] != DBNull.Value || row["GSM_ANTENNA_NOTEXC_SAIL"] != DBNull.Value || row["REV_TOT_CNT_GSM_ANTENNA"] != DBNull.Value || row["MW_ANTENNA_OF_UPTO06_DIA"] != DBNull.Value || row["MW_ANTENNA_OF_12DIA"] != DBNull.Value || row["MW_ANTENNA_OF_GREATER12_DIA"] != DBNull.Value || row["HEIGHT_OF_HEIGHEST_ANTENNA"] != DBNull.Value || row["WEIGHT_OF_TOWER_TOP_BTS"] != DBNull.Value || row["WIND_SPEED"] != DBNull.Value || row["POWER_RATING_OF_BTS"] != DBNull.Value || row["FLOOR_SPACE_INDOOR"] != DBNull.Value || row["FLOOR_SPACE_OUTDOOR"] != DBNull.Value || row["EB_STATUS_VALUE"] != DBNull.Value || row["NO_OF_US"] != DBNull.Value || row["HIGHER_RENT"] != DBNull.Value || row["RRH_COUNT"] != DBNull.Value || row["VOLUME_DISCOUNT"] != DBNull.Value || row["VENDOR_NAME"] != DBNull.Value || row["CIRCLE"] != DBNull.Value || row["APPLICABLE_SITE_RENT"] != DBNull.Value)
{
... // do something here
}
else
{
... // do something here
}
}
Please suggest what is wrong here.
2
Answers
Long story short
||
->&&
Explanation
You are asking whether
When does this evaluate to true? This is true if and only if AT LEAST one of the operands differ from null. As a result, you will either have to check whether
or, alternatively:
The underlying logic is either to check whether everything differs from
null
or it’s false that any of them isnull
.The above
if
statement is checking whether there is any column(s) contain value, which contradicts your requirement:Approach 1: Check all columns contain value
Or
Approach 2: Check any column(s) without value