Native Query (ServerSide): Query using Simple SQL [Read more...]
Server side BigQuery SQL query example. Prefix SQL with word #DirectSQL to invoke server side engine (Pass-through SQL). Query free dataset table (bigquery-public-data.samples.wikipedia)
#DirectSQL SELECT * FROM bigquery-public-data.samples.wikipedia LIMIT 1000 /* try your own dataset or Some FREE dataset like nyc-tlc.yellow.trips -- 3 parts ([Project.]Dataset.Table) */
Native Query (ServerSide): Query using Complex SQL [Read more...]
Server side SQL query example of BigQuery. Prefix SQL with word #DirectSQL to invoke server side engine (Pass-through SQL). Query free dataset table (bigquery-public-data.usa_names.usa_1910_2013)
#DirectSQL
SELECT name, gender, SUM(number) AS total
FROM bigquery-public-data.usa_names.usa_1910_2013
GROUP BY name, gender
ORDER BY total DESC
LIMIT 10
Native Query (ServerSide): Create Table / Run Other DDL [Read more...]
Example of how to run Valid BigQuery DDL statement. Prefix SQL with word #DirectSQL to invoke server side engine (Pass-through SQL)
#DirectSQL CREATE TABLE TestDataset.Table1 (ID INT64,Name STRING,BirthDate DATETIME, Active BOOL)
Native Query (ServerSide): UPDATE Table data for complex types (e.g. Nested RECORD, Geography, JSON) [Read more...]
Example of how to run Valid BigQuery DML statement ()e.g. UPDATE / INSERT / DELETE). This usecase shows how to update record with complex data types such as RECORD (i.e Array), Geography, JSON and more. Prefix SQL with word #DirectSQL to invoke server side engine (Pass-through SQL)
#DirectSQL
#DirectSQL
Update TestDataset.DataTypeTest
Set ColTime='23:59:59.123456',
ColGeography=ST_GEOGPOINT(34.150480, -84.233870),
ColRecord=(1,"AA","Column3 data"),
ColBigNumeric=1222222222222222222.123456789123456789123456789123456789,
ColJson= JSON_ARRAY('{"doc":1, "values":[{"id":1},{"id":2}]}')
Where ColInteger=1
Native Query (ServerSide): DROP Table (if exists) / Other DDL [Read more...]
Example of how to run Valid BigQuery DDL statement. Prefix SQL with word #DirectSQL to invoke server side engine (Pass-through SQL)
#DirectSQL DROP TABLE IF EXISTS Myproject.Mydataset.Mytable
Native Query (ServerSide): Call Stored Procedure [Read more...]
Example of how to run BigQuery Stored Procedure and pass parameters. Assuming you created a valid stored proc called usp_GetData in TestDataset, call like below.
#DirectSQL CALL TestDataset.usp_GetData(1)
This is sample how you can insert into BigQuery using ZappySys query language. You can also use ProjectId='myproject-id' in WITH clause.
INSERT INTO MyBQTable1(SomeBQCol1, SomeBQCol2) Values(1,'AAA')
--WITH(DatasetId='TestDataset',Output='*')
--WITH(DatasetId='TestDataset',ProjectId='MyProjectId',Output='*')
INSERT Multiple Rows from SQL Server [Read more...]
This example shows how to bulk insert into Google BigQuery Table from microsoft SQL Server as external source. Notice that INSERT is missing column list. Its provided by source query so must produce valid column names found in target BQ Table (you can use SQL Alias in Column name to produce matching names)
INSERT INTO MyBQTable1
SOURCE(
'MSSQL'
, 'Data Source=localhost;Initial Catalog=tempdb;Initial Catalog=tempdb;Integrated Security=true'
, 'SELECT Col1 as SomeBQCol1,Col2 as SomeBQCol2 FROM SomeTable Where SomeCol=123'
)
--WITH(DatasetId='TestDataset',Output='*')
--WITH(DatasetId='TestDataset',ProjectId='MyProjectId',Output='*')
INSERT Multiple Rows from any ODBC Source (DSN) [Read more...]
This example shows how to bulk insert into Google BigQuery Table from any external ODBC Source (Assuming you have installed ODBC Driver and configured DSN). Notice that INSERT is missing column list. Its provided by source query so it must produce valid column names found in target BQ Table (you can use SQL Alias in Column name to produce matching names)
INSERT INTO MyBQTable1
SOURCE(
'ODBC'
, 'DSN=MyDsn'
, 'SELECT Col1 as SomeBQCol1,Col2 as SomeBQCol2 FROM SomeTable Where SomeCol=123'
)
WITH(DatasetId='TestDataset')
INSERT Multiple Rows from any JSON Files / API (Using ZappySys ODBC JSON Driver) [Read more...]
This example shows how to bulk insert into Google BigQuery Table from any external ODBC JSON API / File Source (Assuming you have installed ZappySys ODBC Driver for JSON). Notice that INSERT is missing column list. Its provided by source query so it must produce valid column names found in target BQ Table (you can use SQL Alias in Column name to produce matching names). You can also use similar approach to read from CSV files or XML Files. Just use CSV / XML driver rather than JSON driver in connection string. Refer this for more examples of JSON Query https://zappysys.com/onlinehelp/odbc-powerpack/scr/json-odbc-driver-sql-query-examples.htm
INSERT INTO MyBQTable1
SOURCE(
'ODBC'
, 'Driver={ZappySys JSON Driver};Src='https://some-url/get-data''
, 'SELECT Col1 as SomeBQCol1,Col2 as SomeBQCol2 FROM _root_'
)
--WITH(DatasetId='TestDataset',Output='*')
--WITH(DatasetId='TestDataset',ProjectId='MyProjectId',Output='*')
Lists Projects for which user has access
SELECT * FROM list_projects
Lists Datasets for specified project. If you do not specify ProjectId then it will use connection level details.
SELECT * FROM list_datasets
--WITH(ProjectId='MyProjectId')
Lists tables for specified project / dataset. If you do not specify ProjectId or datasetId then it will use connection level details.
SELECT * FROM list_tables
--WITH(ProjectId='MyProjectId')
--WITH(ProjectId='MyProjectId',DatasetId='MyDatasetId')
Delete dataset for specified ID. If you like to delete all tables under that dataset then set deleteContents='true'
SELECT * FROM delete_dataset WITH(DatasetId='MyDatasetId', deleteContents='False')