Check each data column(s) for null is not working

Question

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.

Answer 1

Long story short

|| -> &&

Explanation

You are asking whether

x differs from null or y differs from null or ...

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

x differs from null and y differs from null and ...

or, alternatively:

not (x is null or y is null or ...)

The underlying logic is either to check whether everything differs from null or it's false that any of them is null.

Answer 2

if (row["SAP_ID"] != DBNull.Value || row["CITY"] != DBNull.Value /* || Following columns */)

The above if statement is checking whether there is any column(s) contain value, which contradicts your requirement:

If null is supplied then break the condition if not then go ahead

---

Approach 1: Check all columns contain value

foreach (DataRow row in dt.Rows)
{
    if (row["SAP_ID"] != DBNull.Value && row["CITY"] != DBNull.Value /* && Following columns */)
    {
        // All columns are with value
    }

    // TO-DO
}

Or

Approach 2: Check any column(s) without value

foreach (DataRow row in dt.Rows)
{
    if (row["SAP_ID"] == DBNull.Value || row["CITY"] == DBNull.Value /* || Following columns */)
    {
        // There are column(s) without value
    }

    // TO-DO
}