MySQL MULTIPLES INNER JOIN

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,','))

SELECT *
  FROM ditem

SELECT *, TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),HOUR) as hour_diff, TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),MINUTE) as minutes_diff
FROM `analytics_reby_v1_eu.__TABLES__` --where table_id = 'table_id'
union all
SELECT *, TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),HOUR) as hour_diff,TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),MINUTE) as minutes_diff
FROM `reby_demand_eu.__TABLES__` --where table_id = 'table_id'
union all
SELECT *, TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),HOUR) as hour_diff,TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),MINUTE) as minutes_diff
FROM `ridestatus_post_gdpr.__TABLES__` --where table_id = 'table_id'
union all
SELECT *, TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),HOUR) as hour_diff,TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),MINUTE) as minutes_diff
FROM `reby_fin_eu.__TABLES__` --where table_id = 'table_id'
union all
SELECT *, TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),HOUR) as hour_diff,TIMESTAMP_DIFF(current_timestamp,TIMESTAMP_MILLIS(last_modified_time),MINUTE) as minutes_diff
FROM `reby_marketing_eu.__TABLES__` --where table_id = 'table_id'

SELECT col1, col2
FROM table
ORDER BY col1, col2;

insert into WORKQUEUE (ID, facilitycode, workaction, description)
  values ((select max(ID)+1 from WORKQUEUE), 'J', 'II', 'TESTVALUES')

# from google.cloud import bigquery
# client = bigquery.Client()
# project = client.project
# dataset_ref = bigquery.DatasetReference(project, 'my_dataset')
# filepath = 'path/to/your_file.csv'

# Retrieves the destination table and checks the length of the schema
table_id = "my_table"
table_ref = dataset_ref.table(table_id)
table = client.get_table(table_ref)
print("Table {} contains {} columns.".format(table_id, len(table.schema)))

# Configures the load job to append the data to the destination table,
# allowing field addition
job_config = bigquery.LoadJobConfig()
job_config.write_disposition = bigquery.WriteDisposition.WRITE_APPEND
job_config.schema_update_options = [
    bigquery.SchemaUpdateOption.ALLOW_FIELD_ADDITION
]
# In this example, the existing table contains only the 'full_name' column.
# 'REQUIRED' fields cannot be added to an existing schema, so the
# additional column must be 'NULLABLE'.
job_config.schema = [
    bigquery.SchemaField("full_name", "STRING", mode="REQUIRED"),
    bigquery.SchemaField("age", "INTEGER", mode="NULLABLE"),
]
job_config.source_format = bigquery.SourceFormat.CSV
job_config.skip_leading_rows = 1

with open(filepath, "rb") as source_file:
    job = client.load_table_from_file(
        source_file,
        table_ref,
        location="US",  # Must match the destination dataset location.
        job_config=job_config,
    )  # API request

job.result()  # Waits for table load to complete.
print(
    "Loaded {} rows into {}:{}.".format(
        job.output_rows, dataset_id, table_ref.table_id
    )
)

# Checks the updated length of the schema
table = client.get_table(table)
print("Table {} now contains {} columns.".format(table_id, len(table.schema)))

CREATE TABLE #Procesos (
    SPID        INT,
    Status      VARCHAR(255),
    Login       VARCHAR(255),
    HostName    VARCHAR(255),
    BlkBy       VARCHAR(255),
    DBName      VARCHAR(255),
    Command     VARCHAR(255),
    CPUTime     INT,
    DiskIO      INT,
    LastBatch   VARCHAR(255),
    ProgramName VARCHAR(255),
    SPID2       INT,
    REQUESTID   INT
)

INSERT INTO #Procesos (SPID, Status, Login, HostName, BlkBy, DBName, Command, CPUTime, DiskIO, LastBatch, ProgramName, SPID2, REQUESTID)
EXEC SP_WHO2

SELECT  *
    FROM #Procesos

DROP TABLE #Procesos

SELECT 
    t.NAME AS TableName,
    s.Name AS SchemaName,
    p.rows,
    SUM(a.total_pages) * 8 AS TotalSpaceKB, 
    CAST(ROUND(((SUM(a.total_pages) * 8) / 1024.00), 2) AS NUMERIC(36, 2)) AS TotalSpaceMB,
    SUM(a.used_pages) * 8 AS UsedSpaceKB, 
    CAST(ROUND(((SUM(a.used_pages) * 8) / 1024.00), 2) AS NUMERIC(36, 2)) AS UsedSpaceMB, 
    (SUM(a.total_pages) - SUM(a.used_pages)) * 8 AS UnusedSpaceKB,
    CAST(ROUND(((SUM(a.total_pages) - SUM(a.used_pages)) * 8) / 1024.00, 2) AS NUMERIC(36, 2)) AS UnusedSpaceMB
FROM 
    sys.tables t
INNER JOIN      
    sys.indexes i ON t.OBJECT_ID = i.object_id
INNER JOIN 
    sys.partitions p ON i.object_id = p.OBJECT_ID AND i.index_id = p.index_id
INNER JOIN 
    sys.allocation_units a ON p.partition_id = a.container_id
LEFT OUTER JOIN 
    sys.schemas s ON t.schema_id = s.schema_id
WHERE 
    t.NAME NOT LIKE 'dt%' 
    AND t.is_ms_shipped = 0
    AND i.OBJECT_ID > 255 
GROUP BY 
    t.Name, s.Name, p.Rows
ORDER BY 
    TotalSpaceMB DESC, t.Name

SELECT      COLUMN_NAME AS 'ColumnName'
            ,TABLE_NAME AS  'TableName'
FROM        INFORMATION_SCHEMA.COLUMNS
WHERE       COLUMN_NAME LIKE '%MyName%'
ORDER BY    TableName
            ,ColumnName;

library(DBI)
connection <- dbConnect(RMySQL::MySQL(),
                 dbname = "name",
                 host = "adress.amazonaws.com",
                 port = number,
                 user = "id",
                 password = "pw")
info <- dbGetQuery(connection, "SELECT column1 FROM database WHERE argument = something")

info

WITH
T AS (   SELECT CAST(CONCAT ('$', IIF(TRY_CAST([Key] AS int) IS NOT NULL, CONCAT ('[', [Key], ']'), '.' + [Key])) AS nvarchar(MAX)) AS Path
              , [Key]
              , Value
              , Type
              , 1                                                                                                                   Lvl
         FROM OPENJSON (@json_doc)
         UNION ALL
         SELECT CAST(CONCAT (T.Path, IIF(TRY_CAST(O.[Key] AS int) IS NOT NULL, CONCAT ('[', O.[Key], ']'), '.' + O.[Key])) AS nvarchar(MAX))
              , O.[Key]
              , O.Value
              , O.Type
              , T.Lvl + 1
         FROM T
             CROSS APPLY OPENJSON (T.Value) O
         WHERE T.Type IN ( 4, 5 ))
SELECT Path, T.[Key], T.Value, T.Type, T.Lvl FROM T;

event_type value
2          -5
3           4

select
  *
from
  db1.SomeTable a
    inner join 
  db2.SomeTable b on b.SomeColumn = a.SomeColumn;