Create simple table in snowflake.

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'

create or replace transient table analytics.dbt_klee.mock_orders(
    order_id integer,
    status varchar(100),
    created_at date,
    updated_at date
)

insert into analytics.dbt_klee.mock_orders (order_id, status, created_at, updated_at) 
values
    (1, 'delivered', '2020-01-01', '2020-01-04'),
    (2, 'shipped', '2020-01-02', '2020-01-04'),
    (3, 'shipped', '2020-01-03', '2020-01-04'),
    (4, 'processed', '2020-01-04', '2020-01-04');

## Using snowflake connector 
import snowflake.connector
from configparser import ConfigParser
import pandas as pd

config = ConfigParser()
config.read("config.ini")

user=config["SNOWFLAKE"]["USER"]
password=config["SNOWFLAKE"]["PASSWORD"]
database=config["SNOWFLAKE"]["DATABASE"]
schema=config["SNOWFLAKE"]["SCHEMA"]
warehouse=config["SNOWFLAKE"]["WAREHOUSE"]
role=config["SNOWFLAKE"]["ROLE"]



## snowflake connector method
connection = snowflake.connector.connect(
    user=user,
    password=password,
    account='hostelworld.eu-west-1',
    database = database,
    warehouse = warehouse,
    role = role)
print("snowflake connector connected...")

query = '''select * from production.ppc.campaign_performance_daily limit 1000 ;'''
df = pd.read_sql_query(sql=query, con=connection)
print('DF shape = ', df.shape)

connection.close()
print("connection closed")



### Using sql alchemy
from sqlalchemy import create_engine
from configparser import ConfigParser
import pandas as pd

config = ConfigParser()
config.read("config.ini")

user=config["SNOWFLAKE"]["USER"]
password=config["SNOWFLAKE"]["PASSWORD"]
database=config["SNOWFLAKE"]["DATABASE"]
schema=config["SNOWFLAKE"]["SCHEMA"]
warehouse=config["SNOWFLAKE"]["WAREHOUSE"]
role=config["SNOWFLAKE"]["ROLE"]

# sql alchemy method
engine = create_engine(
            f"""snowflake://{user}:{password}@hostelworld.eu-west-1/{database}/{schema}?warehouse={warehouse}&role={role}"""
)

connection = engine.connect()
print('sql alchemy connected...')
            
query = '''select * from production.ppc.campaign_performance_daily limit 1000 ;'''
df = pd.read_sql_query(sql=query, con=connection)
print('DF shape = ', df.shape)

connection.close()
print("connection closed")

CREATE DATABASE DEMO;

USE DATABASE DEMO;

CREATE or REPLACE TABLE customers(
 "id" VARCHAR,
 "first_name" VARCHAR,
 "last_name" VARCHAR,
 "email" VARCHAR
);

ALTER TABLE customers SET CHANGE_TRACKING = TRUE;

INSERT INTO customers VALUES
    ('1', 'John', 'Smith', 'john.smith@example.com'),
    ('2', 'Jessica', 'Davis', 'jessica.davis@example.com'),
    ('3', 'John Robert', 'Smith', 'js@example.com'),
    ('4', 'Jane', 'Doe', 'jane@example.com'),
    ('5', 'J. Robert', 'Smith', 'js+1@example.com'),
    ('6', 'Jessika', 'Davis', 'jessd@example.com');

SELECT * from customers;

USE DATABASE DEMO;

ALTER TABLE customers SET CHANGE_TRACKING = TRUE;

CREATE or REPLACE TABLE customers_entities(
    "entity_id" VARCHAR,
    "customer_id" VARCHAR
);

CREATE OR REPLACE TABLE TILORES_CONFIG (
    name varchar(255) NOT NULL,
    value varchar(255) default NULL
);

INSERT INTO TILORES_CONFIG VALUES
    ('last_sync', CURRENT_TIMESTAMP()::string),
    ('fetch_on_next_run', 'true');

SELECT * FROM TILORES_CONFIG;
      
CREATE OR REPLACE TASK tilores_sync
    SCHEDULE = '1 MINUTE'
    AS
    DECLARE
        now STRING;
        last_sync STRING;
        fetch_on_next_run STRING;
    BEGIN 
        now := (SELECT CURRENT_TIMESTAMP());
        last_sync := (SELECT value FROM TILORES_CONFIG WHERE name='last_sync');
        fetch_on_next_run := (SELECT value FROM TILORES_CONFIG WHERE name='fetch_on_next_run');
        
        SELECT tilores_ingest(OBJECT_CONSTRUCT(*)) AS ingested 
        FROM (
            SELECT * EXCLUDE(METADATA$ACTION, METADATA$ISUPDATE, METADATA$ROW_ID)
            FROM customers
            CHANGES(INFORMATION => DEFAULT)
                AT(TIMESTAMP => to_timestamp_tz(:last_sync))
            WHERE METADATA$ACTION='INSERT');

        IF (fetch_on_next_run = 'true') THEN
            MERGE INTO customers_entities TARGET USING (SELECT tilores_entity_by_record_id("id"):id AS "entity_id", "id" FROM customers) SOURCE
            ON TARGET."customer_id" = SOURCE."id"
            WHEN MATCHED THEN
              UPDATE SET
                  TARGET."entity_id" = SOURCE."entity_id"
            WHEN NOT MATCHED THEN
              INSERT ("entity_id", "customer_id")
                  VALUES (SOURCE."entity_id", SOURCE."id");
        END IF;
            
        UPDATE TILORES_CONFIG
            SET value = :now
            WHERE name = 'last_sync';
        UPDATE TILORES_CONFIG
            SET value = (SELECT 
                            CASE
                                WHEN count(*) > 0 THEN 'true'
                                ELSE 'false'
                            END AS fetch_on_next_run
                        FROM customers
                        CHANGES(INFORMATION => DEFAULT)
                            AT(TIMESTAMP => to_timestamp_tz(:last_sync))
                        WHERE METADATA$ACTION='INSERT')
            WHERE name = 'fetch_on_next_run';
    END;

ALTER TASK tilores_sync RESUME;

SELECT *
FROM TABLE(information_schema.task_history())
ORDER BY scheduled_time;

SELECT * EXCLUDE("customer_id")
FROM customers
LEFT JOIN customers_entities ON "id"="customer_id"
ORDER BY "id";

INSERT INTO customers VALUES
  ('7', 'Johnn', 'Smeth', 'john.smith@otherDomain.com');

SELECT * EXCLUDE("customer_id")
FROM customers
LEFT JOIN customers_entities ON "id"="customer_id"
ORDER BY "id";

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);