Update query-specific-files.md

Author: jovanpop-msft

articles/synapse-analytics/sql/query-specific-files.md

@@ -6,7 +6,7 @@ author: azaricstefan
 ms.service: synapse-analytics
 ms.topic: how-to
 ms.subservice:
-ms.date: 04/15/2020
+ms.date: 05/20/2020
 ms.author: v-stazar
 ms.reviewer: jrasnick, carlrab
 ---
@@ -21,10 +21,7 @@ You can use function `filepath` and `filename` to return file names and/or the p
 
 ## Prerequisites
 
-Before reading the rest of this article, review the following prerequisites:
-
-- [First-time setup](query-data-storage.md#first-time-setup)
-- [Prerequisites](query-data-storage.md#prerequisites)
+Your first step is to **create a database** with a datasource that references storage account. Then initialize the objects by executing [setup script](https://github.com/Azure-Samples/Synapse/blob/master/SQL/Samples/LdwSample/SampleDB.sql) on that database. This setup script will create the data sources, database scoped credentials, and external file formats that are used in these samples.
 
 ## Functions
 
@@ -36,15 +33,15 @@ The following sample reads the NYC Yellow Taxi data files for the last three mon
 
 ```sql
 SELECT
-    r.filename() AS [filename]
+    nyc.filename() AS [filename]
     ,COUNT_BIG(*) AS [rows]
-FROM OPENROWSET(
-        BULK 'https://sqlondemandstorage.blob.core.windows.net/parquet/taxi/year=2017/month=9/*.parquet',
-        FORMAT='PARQUET') AS [r]
-GROUP BY
-    r.filename()
-ORDER BY
-    [filename];
+FROM  
+    OPENROWSET(
+        BULK 'parquet/taxi/year=2017/month=9/*.parquet',
+        DATA_SOURCE = 'SqlOnDemandDemo',
+        FORMAT='PARQUET'
+    ) nyc
+GROUP BY nyc.filename();
 ```
 
 The following example shows how *filename()* can be used in the WHERE clause to filter the files to be read. It accesses the entire folder in the OPENROWSET part of the query and filters files in the WHERE clause.
@@ -56,10 +53,14 @@ SELECT
     r.filename() AS [filename]
     ,COUNT_BIG(*) AS [rows]
 FROM OPENROWSET(
-    BULK 'https://sqlondemandstorage.blob.core.windows.net/parquet/taxi/year=2017/month=9/*.parquet',
-    FORMAT='PARQUET') AS [r]
+    BULK 'csv/taxi/yellow_tripdata_2017-*.csv',
+        DATA_SOURCE = 'SqlOnDemandDemo',
+        FORMAT = 'CSV',
+        PARSER_VERSION = '2.0',
+        FIRSTROW = 2) 
+        WITH (C1 varchar(200) ) AS [r]
 WHERE
-    r.filename() IN ('yellow_tripdata_2017-10.parquet', 'yellow_tripdata_2017-11.parquet', 'yellow_tripdata_2017-12.parquet')
+    r.filename() IN ('yellow_tripdata_2017-10.csv', 'yellow_tripdata_2017-11.csv', 'yellow_tripdata_2017-12.csv')
 GROUP BY
     r.filename()
 ORDER BY
@@ -80,28 +81,14 @@ SELECT
     r.filepath() AS filepath
     ,COUNT_BIG(*) AS [rows]
 FROM OPENROWSET(
-        BULK 'https://sqlondemandstorage.blob.core.windows.net/csv/taxi/yellow_tripdata_2017-1*.csv',
+        BULK 'csv/taxi/yellow_tripdata_2017-1*.csv',
+        DATA_SOURCE = 'SqlOnDemandDemo',
         FORMAT = 'CSV',
+        PARSER_VERSION = '2.0',
         FIRSTROW = 2
     )
     WITH (
-        vendor_id INT,
-        pickup_datetime DATETIME2,
-        dropoff_datetime DATETIME2,
-        passenger_count SMALLINT,
-        trip_distance FLOAT,
-        rate_code SMALLINT,
-        store_and_fwd_flag SMALLINT,
-        pickup_location_id INT,
-        dropoff_location_id INT,
-        payment_type SMALLINT,
-        fare_amount FLOAT,
-        extra FLOAT,
-        mta_tax FLOAT,
-        tip_amount FLOAT,
-        tolls_amount FLOAT,
-        improvement_surcharge FLOAT,
-        total_amount FLOAT
+        vendor_id INT
     ) AS [r]
 GROUP BY
     r.filepath()
@@ -120,28 +107,14 @@ SELECT
     ,r.filepath(2) AS [month]
     ,COUNT_BIG(*) AS [rows]
 FROM OPENROWSET(
-        BULK 'https://sqlondemandstorage.blob.core.windows.net/csv/taxi/yellow_tripdata_*-*.csv',
+        BULK 'csv/taxi/yellow_tripdata_*-*.csv',
+        DATA_SOURCE = 'SqlOnDemandDemo',
         FORMAT = 'CSV',
+        PARSER_VERSION = '2.0',        
         FIRSTROW = 2
     )
 WITH (
-    vendor_id INT,
-    pickup_datetime DATETIME2,
-    dropoff_datetime DATETIME2,
-    passenger_count SMALLINT,
-    trip_distance FLOAT,
-    rate_code SMALLINT,
-    store_and_fwd_flag SMALLINT,
-    pickup_location_id INT,
-    dropoff_location_id INT,
-    payment_type SMALLINT,
-    fare_amount FLOAT,
-    extra FLOAT,
-    mta_tax FLOAT,
-    tip_amount FLOAT,
-    tolls_amount FLOAT,
-    improvement_surcharge FLOAT,
-    total_amount FLOAT
+    vendor_id INT
 ) AS [r]
 WHERE
     r.filepath(1) IN ('2017')