How To Import CSV Into MySQL? - Scaler Topics

function processSQLFile(fileName) {

  // Extract SQL queries from files. Assumes no ';' in the fileNames
  var queries = fs.readFileSync(fileName).toString()
    .replace(/(\r\n|\n|\r)/gm," ") // remove newlines
    .replace(/\s+/g, ' ') // excess white space
    .split(";") // split into all statements
    .map(Function.prototype.call, String.prototype.trim)
    .filter(function(el) {return el.length != 0}); // remove any empty ones

  // Execute each SQL query sequentially
  queries.forEach(function(query) {
    batch.push(function(done) {
      if (query.indexOf("COPY") === 0) { // COPY - needs special treatment
        var regexp = /COPY\ (.*)\ FROM\ (.*)\ DELIMITERS/gmi;
        var matches = regexp.exec(query);
        var table = matches[1];
        var fileName = matches[2];
        var copyString = "COPY " + table + " FROM STDIN DELIMITERS ',' CSV HEADER";
        var stream = client.copyFrom(copyString);
        stream.on('close', function () {
          done();
        });
        var csvFile = __dirname + '/' + fileName;
        var str = fs.readFileSync(csvFile);
        stream.write(str);
        stream.end();
      } else { // Other queries don't need special treatment
        client.query(query, function(result) {
          done();
        });
      }
    });
  });
}

select * 
from folder f
  join uploads u ON u.id = f.folderId 
where '8' = ANY (string_to_array(some_column,','))

DECLARE @AnyDate DATETIME
SET @AnyDate = GETDATE()

SELECT @AnyDate AS 'Input Date',
  DATEADD(q, DATEDIFF(q, 0, @AnyDate), 0) 
                        AS 'Quarter Start Date',       
  DATEADD(d, -1, DATEADD(q, DATEDIFF(q, 0, @AnyDate) + 1, 0)) 
                        AS 'Quarter End Date'

# Import pandas as pd
import pandas as pd

# Fix import by including index_col
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out cars
print(cars)

# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out country column as Pandas Series
print(cars['country'])

# Print out country column as Pandas DataFrame
print(cars[['country']])


# Print out DataFrame with country and drives_right columns
print(cars[['country','drives_right']])

# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out observation for Japan
print(cars.loc['JPN'])
print(cars.iloc[2])

# Print out observations for Australia and Egypt
print(cars.loc[['AUS','EG']])
print(cars.iloc[[1,6]])

# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out drives_right value of Morocco
print(cars.loc[['MOR', 'drives_right']])

# Print sub-DataFrame
print(cars.iloc[[4,5], [1,2]])

# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out drives_right column as Series
print(cars.loc[:, 'drives_right'])
print(cars.iloc[:, 1])

# Print out drives_right column as DataFrame
print(cars.loc[:, ['drives_right']])
print(cars.iloc[:, [1]]) #[] square brackets are very sensitive here


# Print out cars_per_cap and drives_right as DataFrame
print(cars.loc[:, ['drives_right', 'cars_per_cap']])
print(cars.iloc[:, [0,2]]) #[] square brackets are very sensitive here

Syntax
<Result> = Encrypt(<String to encrypt> , <Password> [, <Type of encryption> [, <Format of encrypted string>]])

Res = Encrypt("My credit card number is 52327453829011", "Password")

rep=,
number,name,date
1,MARCO PINERO,06/25/2021
2,JHON DOE,06/24/2021
3,MICHEL GRUBER,06/27/2021
4,DELIA VAN THASTEN,06/28/2021
5,MILTON BRIGHT,06/29/2021

LOAD DATA INFILE '{  [file_path]  /  [file_name].csv}'
INTO TABLE table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;

xCardMemNumber is int
HRead (Members,hRecNumCurrent)
//info(Members.Member_Number)
QRY_MembersCardprint.ParamMember_Number = Members.Member_Number
//info(QRY_MembersCardprint.ParamMember_Number)
HExecuteQuery(QRY_MembersCardprint)
//Trace("YResolution = " + iParameter(iYResolution))
iDestination(iViewer)
//iParameter(iYResolution, 300)
iPrintReport(RPT_Card)

dim tempo = listbox1.SelectedItems
dim students as string = ""
for each selected in tempo
students = selected.ToString & "," & students
next

Use Sum aggregate function with case statement as below, if you want sum of those t.value based on t.clock then do group by on that column so that you will get clock while sum of values.

select sum(case when  i.hostid='223344'   and t.itemid = '0223344' then t.value end) as FirstValue,sum(case when  i.hostid='112233' and t.itemid = '0112233' then t.value end) as SecondValue
from hosts h, items i,history_uint t
where i.hostid=h.hostid and t.itemid=i.itemid
If it is based on t.clock then

   select t.clock, sum(case when  i.hostid='223344'   and t.itemid = '0223344' then t.value end) as FirstValue,sum(case when  i.hostid='112233' and t.itemid = '0112233' then t.value end) as SecondValue
    from hosts h, items i,history_uint t
    where i.hostid=h.hostid and t.itemid=i.itemid
    group by t.clock
    0

You can try this below logic-

SELECT i.hostid,t.itemid,t.value as OneValues, t.clock as time
FROM hosts h 
INNER JOIN items i 
    ON i.hostid=h.hostid
    AND i.hostid IN ('223344','112233')
    AND i.itemid IN ('0223344','0112233')
INNER JOIN  history_uint t 
    ON t.itemid=i.itemid

ALTER TABLE provider DROP PRIMARY KEY, ADD PRIMARY KEY(person, place, thing);