Client applications
How to work with Google Analytics data in some example applications and programming languages:
Microsoft Access
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Access.
-
Choose one of the following ways to work with your Google Analytics data in Access.
Linking a table
-
Open your Microsoft Access database.
-
Choose External Data.
-
In the New Data Source list, choose From Other Sources > ODBC Database.
-
In the Get External Data screen, choose Link to the data source by creating a linked table, and choose OK.
-
In the Select Data Source dialog box, choose the Machine Data Source tab.
-
Choose your Easysoft ODBC-Google-Analytics Driver ODBC data source from the Machine Data Source list, and then choose OK.
-
In the Link Tables dialog box, choose the tables that you want to link to, and then choose OK.
Importing a table
-
Open your Microsoft Access database.
-
Choose External Data.
-
In the New Data Source list, choose From Other Sources > ODBC Database.
-
In the Get External Data screen, choose Import the source data into a new table in the current database, and choose OK.
-
In the Select Data Source dialog box, choose the Machine Data Source tab.
-
Choose your Easysoft ODBC-Google-Analytics Driver ODBC data source from the Machine Data Source list, and then choose OK.
-
In the Import Objects dialog box, choose the tables you want to import, and then choose OK.
Microsoft Excel
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Excel.
-
Choose one of the following ways to work with your Google Analytics data in Excel.
Data Connection Wizard
-
Choose Data > Get Data > From Other Sources > From ODBC.
-
Choose your Easysoft ODBC-Google-Analytics Driver data source from the list, and then choose OK.
-
Enter the user name and password for your data store if applicable, otherwise enter any text string to get past this stage. Choose Next.
-
Choose the table that contains the data you want to retrieve, and then choose Load.
Microsoft Query
-
Choose Data > Get Data > From Other Sources > From Microsoft Query.
-
In the Choose Data Source dialog box, choose your Google Analytics data source from the list, and then choose OK.
-
In the Query Wizard, choose the columns that contain the data you want to retrieve, and then click Next.
-
If you want to return a subset of the data, use the Filter Data screen to filter the results of your query (this is the equivalent of a SQL
WHERE
clause), and then choose Next. -
If you want to change the sort order of your data, use the Sort Order screen to sort the results of your query (this is the equivalent of a SQL
ORDER BY
clause), and then choose Next. Choose Finish to return your Google Analytics data to Excel.
PowerPivot
-
On the PowerPivot tab, choose Manage.
-
In the PowerPivot window, choose Get External Data > From Other Sources.
-
In the Connect to a Data Source list, choose Others (OLEDB/ODBC)
-
In the Specify a Connection screen, enter a name for your connection in the space provided. Then choose Build.
-
In the Data Link Properties box, choose your Easysoft ODBC-Google-Analytics Driver data source from the list, and then choose OK.
-
Choose Next.
-
Choose how to import your Google Analytics data and then choose Finish.
-
Choose Close to return the data to Excel.
Microsoft Power BI
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Power BI Desktop.
-
In Power BI Desktop, choose Get data from another source.
-
In the Get Data dialog box, choose ODBC, and then choose Connect.
-
In the From ODBC dialog box, choose your Google Analytics data source, and then choose OK.
-
Enter your database user name and password when prompted.
If you make a mistake when entering the user name and password, cancel the connection process. Then in Power BI Desktop Options and Settings, edit the data source. Specify the correct user name or password in the data source credentials dialog box. Otherwise, Power BI Desktop will continue to use the cached incorrect credentials.
If you do not normally need to enter a user name and password, enter some dummy strings in the spaces provided. -
In the Navigator dialog box, choose the tables you want to analyse in Power BI Desktop, and then choose Load.
Your Google Analytics data is now available to use in Power BI visualisations.
Microsoft SQL Server
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as SQL Server.
-
In Microsoft SQL Server Management Studio, connect to the SQL Server instance you want to create the linked server against.
You need to log on with an account that is a member of the SQL Server
sysadmin
fixed server role to create a linked server. -
Right-click Server Objects. From the pop-up menu choose New > Linked Server.
-
In the Linked server box, enter "Google Analytics".
-
From the Provider list, choose Microsoft OLE DB Provider for ODBC drivers.
-
In the Data source box, enter the name of your Google Analytics data source, and then choose OK.
SQL Server verifies the linked server by testing the connection.
-
If you get the error "Specified driver could not be loaded due to system error 126: The specified module could not be found," choose Yes when prompted whether to keep the linked server. You need to restart your SQL Server instance before you can use the linked server. If SQL Server was already running when you installed the Easysoft ODBC-Google-Analytics Driver, it will not have the latest version of the System
Path
environment variable. The Easysoft ODBC-Google-Analytics Driver Setup program adds entries for the driver to the SystemPath
. Restarting the instance makes these changes available to SQL Server, allowing it to load the Easysoft ODBC-Google-Analytics Driver. -
If you made a mistake when specifying the Easysoft ODBC-Google-Analytics Driver, you get the error "Data source name not found and no default driver specified." If you get this error, choose No when prompted whether to keep the linked server and edit the value in the Data source box.
-
-
You can query your Easysoft ODBC-Google-Analytics Driver data either by using a:
-
Four part table name in a distributed query.
A four part table name has the format:
server_name.[database_name].[schema_name].table_name
For data stores where there is no database or schema, Easysoft ODBC drivers return a "dummy" value for both identifiers, because some ODBC applications expect there to be a database and a schema. To find out the identifier names, run:
EXEC sp_tables_ex @table_server = 'Google Analytics'
If present, include these identifiers in your SQL statements. If not present, omit them. For example:
SELECT * FROM [Google Analytics]..DBO.MyTable
The capitalisation of the table name must be the same as it is in the result set returned by
sp_tables_ex
. -
Pass-through query in an
OPENQUERY
function. For example:SELECT * FROM OPENQUERY([Google Analytics], 'SELECT * FROM MyTable') -- If you get an "RPC not enabled for this server" message, right-click your linked server and choose Properties. -- In Server Options, set both RPC and RPC Out to `True`. EXEC ('INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES (''MyValue1'' , ''MyValue2'' , ''MyValue3'' , ''MyValue4'' , ''MyValue5'')') AT Google Analytics UPDATE OPENQUERY ([Google Analytics], 'SELECT MyCol1 FROM MyTable WHERE MyCol1 = ''MyValue1''') SET MyCol1='MyNewValue' DELETE OPENQUERY (Google Analytics, 'SELECT MyCol1 FROM MyTable WHERE MyCol1 = ''MyValue1''')
SQL Server sends pass-through queries as uninterpreted query strings to the Google Analytics. This means that SQL Server does not apply any kind of logic to the query or try to estimate what that query will do.
-
Oracle
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Oracle.
-
Follow the instructions for your Oracle platform.
Connecting Google Analytics to Oracle on Windows
-
Create a DG4ODBC init file on your Oracle machine. To do this, change to the
%ORACLE_HOME%\hs\admin
directory. Create a copy of the fileinitdg4odbc.ora
. Name the new fileinitAnalytics.ora
.In these instructions, replace %ORACLE_HOME%
with the location of your OracleHOME
directory. For example,C:\app\product\21c\homes\OraDB21Home1
. -
Ensure these parameters and values are present in your init file:
HS_FDS_CONNECT_INFO = "Google Analytics"
Replace
Google Analytics
with the name of your Easysoft ODBC-Google-Analytics Driver data source. -
Comment out the line that enables DG4ODBC tracing. For example:
#HS_FDS_TRACE_LEVEL = <trace_level>
-
Add an entry to
%ORACLE_HOME%\network\admin\listener.ora
that creates aSID_NAME
for DG4ODBC. For example:SID_LIST_LISTENER = (SID_LIST = (SID_DESC= (SID_NAME=Analytics) (ORACLE_HOME=%ORACLE_HOME%) (PROGRAM=dg4odbc) ) )
-
Add a DG4ODBC entry to
%ORACLE_HOME%\network\admin\tnsnames.ora
that specifies theSID_NAME
created in the previous step. For example:Analytics = (DESCRIPTION = (ADDRESS = (PROTOCOL = TCP)(HOST = oracle_host)(PORT = 1521)) (CONNECT_DATA = (SID = Analytics) ) (HS = OK) )
Replace
oracle_host
with the host name of your Oracle machine. -
Start (or restart) the Oracle Listener:
cd %ORACLE_HOME%\bin lsnrctl stop lsnrctl start
-
Connect to your Oracle database in SQL*Plus.
-
In SQL*Plus, create a database link for Google Analytics. For example:
CREATE PUBLIC DATABASE LINK AnalyticsLink CONNECT TO "dbuser" IDENTIFIED BY "dbpassword" USING 'Analytics';
Replace
dbuser
anddbpassword
with your backend user name and password, if applicable. -
Try querying and updating your Google Analytics data. For example:
SELECT "MyCol1" FROM "MyTable"@AnalyticsLink; DECLARE num_rows integer; BEGIN num_rows:=DBMS_HS_PASSTHROUGH.EXECUTE_IMMEDIATE@AnalyticsLink ('INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES (''MyValue1'', ''MyValue2'', ''MyValue3'', ''MyValue4'', ''MyValue5'')'); END; / DECLARE num_rows integer; BEGIN num_rows:=DBMS_HS_PASSTHROUGH.EXECUTE_IMMEDIATE@AnalyticsLink ('UPDATE "MyTable" SET "MyCol1" = ''MyNewValue'' WHERE "MyCol1" = ''MyValue1'''); END; / DECLARE num_rows integer; BEGIN num_rows:=DBMS_HS_PASSTHROUGH.EXECUTE_IMMEDIATE@AnalyticsLink ('DELETE from "MyTable" WHERE MyCol1 = ''MyValue1'''); END; /
Notes
-
If you have problems connecting to Google Analytics from Oracle, enable DG4ODBC tracing and check the trace files written to the
%ORACLE_HOME%\hs\trace
directory. To enable DG4ODBC tracing, add the lineHS_FDS_TRACE_LEVEL = DEBUG
toinitGoogle Analytics.ora
and then start or restart the Oracle listener. If thetrace
directory does not exist, create it. -
If you enable ODBC Driver Manager tracing, but do not get a log file in the location you specify, try looking in the top-level folder (for example,
C:\SQL.log
). Alternatively, in ODBC Data Source Administrator, change the trace file location to the WindowsTEMP
directory.
Connecting Google Analytics to Oracle on Linux and UNIX
-
Create a DG4ODBC init file on your Oracle machine. To do this, change to the
$ORACLE_HOME\hs\admin
directory. Create a copy of the fileinitdg4odbc.ora
. Name the new fileinitAnalytics.ora
.In these instructions, replace $ORACLE_HOME
with the location of your OracleHOME
directory. For example,/u01/app/oracle/product/21c/dbhome_1
. -
Ensure these parameters and values are present in your init file:
HS_FDS_CONNECT_INFO = "Google Analytics"
Replace
Google Analytics
with the name of your Easysoft ODBC-Google-Analytics Driver data source. -
Comment out the line that enables DG4ODBC tracing. For example:
#HS_FDS_TRACE_LEVEL = <trace_level>
-
Add an entry to
$ORACLE_HOME/network/admin/listener.ora
that creates aSID_NAME
for DG4ODBC. For example:SID_LIST_LISTENER = (SID_LIST = (SID_DESC= (SID_NAME=Analytics) (ORACLE_HOME=$ORACLE_HOME) (PROGRAM=dg4odbc) (ENVS=LD_LIBRARY_PATH = /usr/local/easysoft/unixODBC/lib: /usr/local/easysoft/lib) ) )
Replace oracle_home_directory with the value of $ORACLE_HOME. For example,
/u01/app/oracle/product/21c/dbhome_1
. -
Add a DG4ODBC entry to
$ORACLE_HOME/network/admin/tnsnames.ora
that specifies theSID_NAME
created in the previous step. For example:Analytics = (DESCRIPTION = (ADDRESS = (PROTOCOL = TCP)(HOST = oracle_host)(PORT = 1521)) (CONNECT_DATA = (SID = Analytics) ) (HS = OK) )
Replace
oracle_host
with the host name of your Oracle machine. -
Start (or restart) the Oracle Listener:
cd $ORACLE_HOME/bin ./lsnrctl stop ./lsnrctl start
-
Connect to your Oracle database in SQL*Plus.
-
In SQL*Plus, create a database link for Google Analytics. For example:
CREATE PUBLIC DATABASE LINK AnalyticsLink CONNECT TO "dbuser" IDENTIFIED BY "dbpassword" USING 'Analytics';
Replace
dbuser
anddbpassword
with your backend user name and password, if applicable. -
Try querying and updating your Google Analytics data. For example:
SELECT "MyCol1" FROM "MyTable"@AnalyticsLink; DECLARE num_rows integer; BEGIN num_rows:=DBMS_HS_PASSTHROUGH.EXECUTE_IMMEDIATE@AnalyticsLink ('INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES (''MyValue1'', ''MyValue2'', ''MyValue3'', ''MyValue4'', ''MyValue5'')'); END; / DECLARE num_rows integer; BEGIN num_rows:=DBMS_HS_PASSTHROUGH.EXECUTE_IMMEDIATE@AnalyticsLink ('UPDATE "MyTable" SET "MyCol1" = ''MyNewValue'' WHERE "MyCol1" = ''MyValue1'''); END; / DECLARE num_rows integer; BEGIN num_rows:=DBMS_HS_PASSTHROUGH.EXECUTE_IMMEDIATE@AnalyticsLink ('DELETE from "MyTable" WHERE MyCol1 = ''MyValue1'''); END; /
Notes
-
If you have problems connecting to Google Analytics from Oracle, enable DG4ODBC tracing and check the trace files written to the
$ORACLE_HOME/hs/trace
directory. To enable DG4ODBC tracing, add the lineHS_FDS_TRACE_LEVEL = DEBUG
toinitGoogle Analytics.ora
and then start or restart the Oracle listener. If thetrace
directory does not exist, create it.
LibreOffice
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as LibreOffice.
-
Choose File > New > Database.
-
Choose Connect to an existing database.
-
Choose ODBC in the list, and then choose Next.
-
Choose Browse, double-click your data source, and then choose Next.
-
If your database requires a database user name, enter it in the User name box. If this user needs to supply a password choose the Password required check box.
-
Choose Finish.
-
Save the database when prompted.
The database opens in a new Base window. From here you can access your data.
-
In the left pane of the database window, choose the Tables icon to display a hierarchy of tables. Enter the database password if prompted, and then choose OK.
-
To retrieve the data in a table, in the Tables pane, double-click a table.
-
Choose the Queries icon to create a query.
Use any of the methods listed in the Tasks pane to create a query.
Go
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Go.
-
Install the odbc package for Go:
go mod init test go get github.com/alexbrainman/odbc
-
Create and then use Go to run this script, which retrieves some Google Analytics data:
package main import ( _ "github.com/alexbrainman/odbc" "database/sql" "log" ) func main() { // Replace the DSN value with the name of your ODBC data source. db, err := sql.Open("odbc", "DSN=Google Analytics") if err != nil { log.Fatal(err) } var ( name string ) rows, err := db.Query("SELECT MyCol1 FROM MyTable") if err != nil { log.Fatal(err) } defer rows.Close() for rows.Next() { err := rows.Scan(&name) if err != nil { log.Fatal(err) } log.Println(name) } err = rows.Err() if err != nil { log.Fatal(err) } defer db.Close() }
Node.js
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Node.js.
-
Install the odbc module for Node.js:
npm install odbc
-
Create and then use Node.js to run this script, which retrieves some Google Analytics data:
const odbc = require('odbc'); // Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver // data source. const connection = odbc.connect('DSN=Google Analytics', (error, connection) => { connection.query('SELECT MyCol1 FROM MyTable', (error, result) => { if (error) { console.error(error) } console.log(result); }); });
-
This script retrieves the tables and views in your Easysoft ODBC-Google-Analytics Driver data source:
const odbc = require('odbc'); const connection = odbc.connect('DSN=Google Analytics', (error, connection) => { connection.tables(null, null, null, null, (error, result) => { if (error) { return; } const util = require('util'); console.log(util.inspect(result, {maxArrayLength: null, depth:null})) }); });
-
This script retrieves the names of the columns in these tables and views:
const odbc = require('odbc'); const connection = odbc.connect('DSN=Google Analytics', (error, connection) => { connection.columns(null, null, null, null, (error, result) => { if (error) { return; } const util = require('util'); console.log(util.inspect(result, {maxArrayLength: null, depth:null})) }); });
-
These scripts insert, update, and then delete some Google Analytics data:
const odbc = require("odbc"); const connection = odbc.connect("DSN=Google Analytics", (error, connection) => { connection.query("INSERT INTO MyTable ( MyCol1, MyCol2, MyCol3, MyCol4, MyCol5 ) VALUES ( 'MyValue1', 'MyValue2', 'MyValue3', 'MyValue4', 'MyValue5' )", (error, result) => { if (error) { console.error(error) } console.log(result); }); }); const odbc = require("odbc"); const connection = odbc.connect("DSN=Google Analytics", (error, connection) => { connection.query("UPDATE MyTable SET MyCol1 = 'MyNewValue' WHERE MyCol1 = 'MyValue1'", (error, result) => { if (error) { console.error(error) } console.log(result); }); }); const odbc = require("odbc"); const connection = odbc.connect("DSN=Google Analytics", (error, connection) => { connection.query("DELETE FROM MyTable WHERE MyCol1 = 'MyValue1'", (error, result) => { if (error) { console.error(error) } console.log(result); }); });
Perl
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Perl.
-
Check whether your Perl distribution supports ODBC:
perl -e 'use DBD::ODBC;'
-
Do one of the following:
-
If you get no output, your Perl distribution supports ODBC. Skip to the next step.
-
If you get:
Can't locate DBD/ODBC.pm
you need to install DBD::ODBC before you can use the Easysoft ODBC-Google-Analytics Driver to connect to Google Analytics.
-
-
Create and then use Perl to run this script, which retrieves some Google Analytics data:
use strict; use DBI; # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. my $dbh = DBI-> connect('dbi:ODBC:Google Analytics'); my $sql = "SELECT MyCol1 FROM MyTable"; my $sth = $dbh->prepare($sql) or die "Can't prepare statement: $DBI::errstr"; $sth->execute(); my($Col); # Fetch and display the result set values. while(($Col) = $sth->fetchrow()){ print("$Col\n"); } $dbh->disconnect if ($dbh);
-
This script retrieves the tables and views in your Easysoft ODBC-Google-Analytics Driver data source:
use strict; use DBI; my $dbh = DBI-> connect('dbi:ODBC:Google Analytics'); my $sth = $dbh->table_info() or die "Can't prepare statement: $DBI::errstr"; my @row; while (@row = $sth->fetchrow_array) { print join(", ", @row), "\n"; } $dbh->disconnect if ($dbh);
-
This script retrieves the names of the columns in these tables and views:
use strict; use DBI; my $dbh = DBI-> connect('dbi:ODBC:Google Analytics'); my $sth = $dbh->column_info('','','','') or die "Can't prepare statement: $DBI::errstr"; my @row; while (@row = $sth->fetchrow_array) { print join(", ", @row), "\n"; } $dbh->disconnect if ($dbh);
-
These scripts insert, update, and then delete some Google Analytics data:
use strict; use DBI; my $dbh = DBI-> connect('dbi:ODBC:Google Analytics'); my $sth = $dbh->prepare(q/INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES (?, ?, ?, ?, ?)/) or die "Can't prepare statement: $DBI::errstr"; $sth->execute('MyValue1', 'MyValue2', 'MyValue3', 'MyValue4', 'MyValue5'); $dbh->disconnect if ($dbh); use strict; use DBI; my $dbh = DBI-> connect('dbi:ODBC:Google Analytics'); my $sth = $dbh->prepare('UPDATE MyTable SET MyCol1 = \'MyNewValue\' WHERE MyCol1 = ?') or die "Can't prepare statement: $DBI::errstr"; $sth->execute('MyValue1'); $dbh->disconnect if ($dbh); use strict; use DBI; my $dbh = DBI-> connect('dbi:ODBC:Google Analytics'); my $sth = $dbh->prepare('DELETE FROM MyTable WHERE MyCol1 = ?') or die "Can't prepare statement: $DBI::errstr"; $sth->execute('MyValue1'); $dbh->disconnect if ($dbh);
Further information
PHP
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as PHP.
-
Check whether your PHP distribution supports ODBC. In
php.ini
, make sure there is no comment character (;
) before theextension_dir
andextension=odbc
settings (;extension_dir=directory
becomesextension_dir=directory
and;extension=odbc
becomesextension=odbc
). -
Create and then use PHP to run this script, which retrieves some Google Analytics data:
<?php // Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. // If your database requires a user name and password, supply them in the odbc_connect_call. $con = odbc_connect("Google Analytics", "", ""); $stmt = odbc_exec($con, "SELECT * FROM MyTable"); // You may need to change the capitalisation of MyCol1 to all upper case or all lower case. while ($row = odbc_fetch_array($stmt)) { echo "MyCol1 = ", $row["MyCol1"], "\n"; } odbc_close($con); ?>
-
This script retrieves the tables and views in your Easysoft ODBC-Google-Analytics Driver data source:
<?php $con = odbc_connect("Google Analytics", "", ""); $tables = odbc_tables($con); while (($row = odbc_fetch_array($tables))) { print_r($row); } odbc_close($con); ?>
-
This script retrieves the names of the columns in these tables and views:
<?php $con = odbc_connect("Google Analytics", "", ""); $columns = odbc_columns($con); while (($row = odbc_fetch_array($columns))) { print_r($row); } odbc_close($con); ?>
-
These scripts insert, update, and then delete some Google Analytics data:
<?php $cnx = odbc_connect("Google Analytics", "", ""); $stmt = odbc_prepare($cnx, "INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES (?, ?, ?, ?, ?)"); $success = odbc_execute($stmt, array('MyValue1', 'MyValue2', 'MyValue3', 'MyValue4', 'MyValue5')); odbc_close($cnx); ?> <?php $cnx = odbc_connect("Google Analytics", "", ""); $stmt = odbc_prepare($cnx, "UPDATE MyTable SET MyCol1 = 'MyNewValue' WHERE MyCol1 = ?"); $success = odbc_execute($stmt, array('MyValue1')); odbc_close($cnx); ?> <?php $cnx = odbc_connect("Google Analytics", "", ""); $stmt = odbc_prepare($cnx, "DELETE FROM MyTable WHERE MyCol1 = ?"); $success = odbc_execute($stmt, array('MyValue1')); odbc_close($cnx); ?>
Further information
Python
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as Python.
-
Check whether your Python distribution supports ODBC.
pip list
If you don’t have pip installed:
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py python get-pip.py
-
Do one of the following:
-
If the output contains
pyodbc
, your Python distribution supports ODBC. Skip to the next step. -
If the output does not contain
pyodbc
, use pip to install this module:pip install pyodbc
-
-
Create and then use Python to run this script, which retrieves some Google Analytics data:
import pyodbc # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. cnxn = pyodbc.connect("DSN=Google Analytics") cursor = cnxn.cursor() sql = "SELECT MyCol1 FROM MyTable" cursor.execute(sql) rows = cursor.fetchall() # You may need to change the capitalisation of MyCol1 to all upper case or all lower case. for row in rows: print(row.MyCol1) exit()
-
This script retrieves the tables and views in your Easysoft ODBC-Google-Analytics Driver data source:
import pyodbc # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. cnxn = pyodbc.connect("DSN=Google Analytics") cursor = cnxn.cursor() cursor.tables() rows = cursor.fetchall() for row in rows: print(row.table_name) exit()
-
This script retrieves the names of the columns in these tables and views:
import pyodbc # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. cnxn = pyodbc.connect("DSN=Google Analytics") cursor = cnxn.cursor() cursor.columns() rows = cursor.fetchall() for row in rows: print(row.table_name, row.column_name) exit()
-
These scripts insert, update, and then delete some Google Analytics data:
import pyodbc cnxn = pyodbc.connect("DSN=Google Analytics") cursor = cnxn.cursor() sql = "INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES (?, ?, ?, ?, ?)" cursor.execute(sql, 'MyValue1', 'MyValue2', 'MyValue3', 'MyValue4', 'MyValue5') cursor.commit() exit()
import pyodbc cnxn = pyodbc.connect("DSN=Google Analytics") cursor = cnxn.cursor() sql = "UPDATE MyTable SET MyCol1 = 'MyNewValue' WHERE MyCol1 = ?" cursor.execute(sql, 'MyValue1') cursor.commit() exit()
import pyodbc cnxn = pyodbc.connect("DSN=Google Analytics") cursor = cnxn.cursor() sql = "DELETE FROM MyTable WHERE MyCol1 = ?" cursor.execute(sql, 'MyValue1') cursor.commit() exit()
Further information
R
-
Install the Easysoft ODBC-Google-Analytics Driver on same computer as R.
-
In R Console, check whether your R distribution supports ODBC.
library("RODBC")
-
Do one of the following:
-
If you get no output, you have the ODBC library for R. Skip to the next step.
-
If you get an "there is no package" error, install the ODBC library for R:
install.packages("RODBC")
-
-
Create and then use R to run this script, which retrieves some Google Analytics data:
library("RODBC") # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. ch <- odbcConnect("Google Analytics") sqlQuery(ch, paste("SELECT MyCol1 FROM MyTable")) odbcClose(ch) quit()
-
This script retrieves the tables and views in your Easysoft ODBC-Google-Analytics Driver data source:
library("RODBC") # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. ch <- odbcConnect("Google Analytics") sqlTables(ch) odbcClose(ch) quit()
-
This script retrieves the names of the columns in the specified table or view:
library("RODBC") # Replace Google Analytics with the name of your Easysoft ODBC-Google-Analytics Driver data source. ch <- odbcConnect("Google Analytics") # You may need to change the capitalisation of MyTable to all upper case or all lower case. sqlColumns(ch, sqtable="MyTable") odbcClose(ch) quit()
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These scripts insert, update, and then delete some Google Analytics data:
library("RODBC") ch <- odbcConnect("Google Analytics") sqlQuery(ch, paste("INSERT INTO MyTable (MyCol1, MyCol2, MyCol3, MyCol4, MyCol5) VALUES ('MyValue1', 'MyValue2', 'MyValue3', 'MyValue4', 'MyValue5')")) odbcClose(ch) quit() library("RODBC") ch <- odbcConnect("Google Analytics") sqlQuery(ch, paste("UPDATE MyTable SET MyCol1 = 'MyNewValue' WHERE MyCol1 = 'MyValue1'")) odbcClose(ch) quit() library("RODBC") ch <- odbcConnect("Google Analytics") sqlQuery(ch, paste("DELETE FROM MyTable WHERE MyCol1 = 'MyValue1'")) odbcClose(ch) quit()