Use the ODBC driver for BigQuery
The Open Database Connectivity (ODBC) driver for BigQuery connects your non-Java applications to BigQuery, letting you use BigQuery features with your preferred tooling and infrastructure. To connect Java applications to BigQuery, use the JDBC driver for BigQuery.
The ODBC driver for BigQuery is available under the Apache 2.0 license.
Before you begin
Make sure that you're familiar with ODBC drivers and driver managers.
Ensure that your operating system meets the following requirements:
Operating system Supported architectures Minimum version and dependencies Windows 32-bit (x86), 64-bit (x64) Version: Windows 10, Windows Server 2016 or later
Dependency: Microsoft Visual C++ Redistributable for Visual Studio 2019 or 2022macOS 64-bit (x86_64), ARM64 (Apple Silicon) Version: macOS 12 (Monterey) or later
Dependency: An ODBC driver manager (for example, unixODBC). Ensure you add the installation directory to yourDYLD_LIBRARY_PATH.Linux 64-bit (x86_64) Version: Any distribution with glibc 2.27 or later (for example, Ubuntu 20.04 LTS+, Debian 11+)
Dependency: An ODBC Driver Manager (for example, unixODBC). Ensure that you add the installation directory to yourLD_LIBRARY_PATH.Authenticate to BigQuery, and take note of the following information, which is used later when you establish a connection with the ODBC driver for BigQuery. You only need to note the information that corresponds to the authentication method that you use.
Authentication method Authentication information Example Connection property (to set later) Standard service account Service account key (JSON object) my-sa-keyKeyFilePathWorkload Identity Federation or Workforce Identity Federation Audience property of the external account configuration file //iam.googleapis.com/locations/global/...BYOID_AudienceUrlToken retrieval and environmental information file {"file":"/path/to/file"}BYOID_CredentialSourceUser project (only for workforce pool) my_projectBYOID_PoolUserProjectSTS token type id_tokenBYOID_SubjectTokenTypeSTS token exchange endpoint https://sts.googleapis.com/v1/tokenBYOID_TokenUrlApplication Default Credentials None N/A N/A
Install and configure the ODBC driver
You can install and configure the ODBC driver for BigQuery using either a Windows or non-Windows operating system.
Windows
Install the driver that corresponds to your application's architecture:
- Download the
ODBCDriverforBigQuery_windows_x86.msifile for 32-bit applications. - Download the
ODBCDriverforBigQuery_windows_x64.msifile for 64-bit applications.
- Download the
Create a Data Source Name (DSN) by doing the following:
- From the Windows Start menu, go to ODBC Data Sources, and select the version that has the same bitness as your client application.
- On the ODBC Data Source Administrator page, click the Drivers tab.
- In the list of installed ODBC drivers, locate ODBC Driver for BigQuery.
- Select either the System DSN tab to create a DSN for all users or the User DSN tab to create a DSN for the current user. System DSNs are generally recommended because some applications load data using different user accounts and might not detect other User DSNs.
- Click Add.
- In the Create New Data Source dialog, select ODBC Driver for BigQuery, and then click Finish. The ODBC Driver for BigQuery DSN Setup dialog opens.
- In the Data Source Name field, enter a name for your DSN.
- Add connection properties. For a full list of properties, see Connection properties.
Non-Windows
Install the driver that corresponds to your operating system:
- Download the
ODBCDriverforBigQuery_linux_latest.zipfile for Linux. - Download the
ODBCDriverforBigQuery_macos_latest.tar.gzfile for macOS.
- Download the
Extract the contents of the downloaded ZIP or TAR file.
Move the contents of the ZIP or TAR file to the directory where you want to install the connector. The ODBC driver for BigQuery shared object path is
INSTALL_DIR/lib/libgoogle_cloud_odbc_bq_driver.so, whereINSTALL_DIRis your installation directory.Update your
.inifiles to reflect the new path of the connector.The following example updates the
.inifiles in a Linux system:unzip linux_odbc-driver.VERSION.zip -d linux_odbc-driver.VERSION/ cd ./linux_odbc-driver.VERSION export INSTALL_DIR=$(pwd) export ODBCINI=$INSTALL_DIR/odbc.ini export ODBCINSTINI=$INSTALL_DIR/odbcinst.ini export GOOGLEBIGQUERYODBCINI=$INSTALL_DIR/googlebigqueryodbc.ini
Replace
VERSIONwith the driver version.
Establish a connection
To establish a connection between your application and BigQuery with the ODBC driver for BigQuery, identify your connection string. You can skip this step if you already configured connection properties through your DSN.
The connection string has the following format:
Driver=ODBC Driver for BigQuery;ProjectId=PROJECT_ID;OAuthType=AUTH_TYPE;AUTH_PROPS;OTHER_PROPS
Replace the following:
PROJECT_ID: the ID of your BigQuery project.AUTH_TYPE: a number specifying the type of authentication that you used. Select one of the following:0: for service account authentication3: for Application Default Credential authentication4: for Workload Identity Federation or Workforce Identity Federation authentication
AUTH_PROPS: the authentication information that you noted when you authenticated to BigQuery, listed in theproperty_1=value_1; property_2=value_2;...format—for example,KeyFilePath=my-sa-key, if you authenticated with a service account.OTHER_PROPS(optional): additional connection properties for the ODBC driver, listed in theproperty_1=value_1; property_2=value_2;...format. For a full list of connection properties, see Connection properties.
Connection properties
ODBC driver connection properties are configuration parameters that you include in the connection string when you establish a connection to a database. The ODBC driver for BigQuery supports the following connection properties.
| Connection property | Description | Default value | Data type | Required |
|---|---|---|---|---|
AdditionalProjects |
Projects that the driver can access for queries and metadata operations,
in addition to the primary project set by the ProjectId
property.
|
N/A | Comma-separated string | No |
AllowHtapiForLargeResults |
Determines whether the driver can use the BigQuery Storage Read API. | 0 |
Boolean | No |
AllowLargeResults |
Determines if the driver processes query results that are larger than
128 MB when the QueryDialect property is set to
BIG_QUERY. If the QueryDialect property is set
to SQL, the driver always processes large query results.
|
0 |
Boolean | No |
BYOID_AudienceUrl |
Contains the resource name for the Workload Identity Pool or the Workforce Pool and the provider identifier in that pool. | N/A | String | Only when OAuthMechanism=4 |
BYOID_CredentialSource |
Sets the necessary information to retrieve the token itself, as well as some environmental information. | N/A | String | Only when OAuthMechanism=4 |
BYOID_PoolUserProject |
Set the project when it is a Workforce Pool and not a Workload Identity Pool. | N/A | String | Only when OAuthMechanism=4 and using a Workforce Pool |
BYOID_SubjectTokenType |
Sets the STS token type based on the Oauth2.0 token exchange
specification. Expected values include:
|
N/A | String | Only when OAuthMechanism=4 |
BYOID_TokenUrl |
Sets the STS token exchange endpoint. | https://sts.googleapis.com/v1/token |
String | No |
DefaultDataset |
Serves as a designated dataset within a project that the driver automatically references when you execute queries without explicitly specifying a dataset. | N/A | String | No |
FilterTablesOnDefaultDataset |
Determines the scope of metadata that table or column metadata methods
return. When false, no filtering occurs. You must also set the
DefaultDataset property to enable filtering.
|
FALSE |
Boolean | No |
EnableSession |
Determines whether a connection starts a session. When enabled, the first query run by that particular connection starts a session and the driver passes the session ID to all subsequent queries. | 0 |
Boolean | No |
JobCreationMode |
Lets you enable the low latency query path. Choose one of the following:
|
2 |
Integer | No |
KeyFilePath |
The path to the service account key when using service account authentication. | N/A | String |
Only when OAuthMechanism=0
|
KMSKeyName |
Specifies the name of the KMS key to use when encrypting and decrypting data. | N/A | String | No |
LargeResultsDataSetId |
Specifies the destination dataset for storing large query results. | N/A | String | No |
LargeResultsDatasetExpirationTime |
Specifies the lifetime of all tables in the large results dataset, in milliseconds. | 3600000 |
Long | No |
Location |
Specifies the location where the driver creates or queries datasets. | N/A | String | No |
LogLevel |
Limits the detail that the driver logs during interactions. Choose one of
the following:
|
0 |
Integer | No |
LogPath |
Specifies the directory where the driver writes log files. | N/A | String | No |
LogFileCount |
Specifies the maximum number of log files to keep. | 0 |
Integer | No |
LogFileSize |
Specifies the maximum size of each log file in bytes. | 0 |
Long | No |
MaxResults |
Specifies the number of results per page in the BigQuery API result. | 10000 |
Long | No |
MaxThreads |
Defines the maximum number of threads that the connector can use for
concurrent processing in a thread pool. To configure this property as a
connector-wide setting for non-Windows connectors, specify it in the
googlebigqueryodbc.ini file.
|
8 |
Integer | No |
OAuthMechanism |
The authentication type. Choose one of the following:
|
N/A | Integer | Yes |
ProjectId |
The default project ID for the driver. The driver uses this project to execute queries and bills it for resource usage. | N/A | String | Yes |
ProxyHost |
Hostname or IP address of a proxy server. | N/A | String | No |
ProxyPort |
Port number on which the proxy server is listening. | N/A | String | No |
ProxyPwd |
Password for authentication when connecting through a proxy server. | N/A | String | No |
ProxyUid |
Username for authentication when connecting through a proxy server. | N/A | String | No |
PrivateServiceConnectUris |
Custom endpoints to overwrite default endpoints. Examples:
|
N/A | Comma-separated string | No |
QueryDialect |
Specifies which query dialect to use. Use SQL for
GoogleSQL (highly recommended) and BIG_QUERY for
legacy SQL.
|
SQL |
String | No |
QueryProperties |
Configures properties which can modify the query behavior. | N/A | Map<String, String> | No |
UniverseDomain |
Specifies the universe domain for your organization. | googleapis.com |
String | No |
UseQueryCache |
Enables the query caching feature in BigQuery. | true |
Boolean | No |
Data type mapping
When you run queries through the ODBC driver for BigQuery, the following data type mapping occurs:
| GoogleSQL type | ODBC SQL type |
|---|---|
INT64 | SQL_BIGINT |
BOOL | SQL_BIT |
DATE | SQL_TYPE_DATE |
FLOAT64 | SQL_DOUBLE |
TIME | SQL_TYPE_TIME |
TIMESTAMP | SQL_TYPE_TIMESTAMP |
DATETIME | SQL_TYPE_TIMESTAMP |
BYTES | SQL_VARBINARY |
STRING | SQL_VARCHAR |
ARRAY | SQL_VARCHAR |
STRUCT | SQL_VARCHAR |
INTERVAL | SQL_VARCHAR |
JSON | SQL_VARCHAR |
GEOGRAPHY | SQL_VARCHAR |
RANGE | SQL_VARCHAR |
NUMERIC | SQL_NUMERIC |
BIGNUMERIC | SQL_NUMERIC |
Examples
The following examples demonstrate how to use parameterized queries and multi-statement scripts with the ODBC driver.
Parameterized queries
// 1. Prepare statement std::string insert_stmt = "INSERT INTO MyTable VALUES (?, ?, ?)"; status = SQLPrepare(hstmt, (SQLCHAR*)insert_stmt.c_str(), SQL_NTS); // 2. Bind parameters std::string str_val = "example_string"; long long int_val = 12345; double float_val = 1.2345; // Bind string field status = SQLBindParameter( hstmt, 1, SQL_PARAM_INPUT, SQL_C_CHAR, SQL_VARCHAR, 50, 0, (SQLPOINTER)str_val.c_str(), str_val.size(), NULL); // Bind integer field status = SQLBindParameter( hstmt, 2, SQL_PARAM_INPUT, SQL_C_UBIGINT, SQL_BIGINT, 0, 0, &int_val, 0, NULL); // Bind float field status = SQLBindParameter( hstmt, 3, SQL_PARAM_INPUT, SQL_C_DOUBLE, SQL_DOUBLE, 0, 0, &float_val, 0, NULL); // 3. Execute statement status = SQLExecute(hstmt);
Multi-statement scripts
// 1. Prepare and execute the multi-statement script std::string query = "CREATE OR REPLACE TABLE MyTable (StringField STRING, IntegerField INTEGER); " "INSERT INTO MyTable VALUES ('example', 123); " "SELECT * FROM MyTable;"; status = SQLExecDirect(hstmt, (SQLCHAR*)query.c_str(), SQL_NTS); // 2. Process results for each statement using SQLMoreResults do { SQLSMALLINT num_cols; status = SQLNumResultCols(hstmt, &num_cols); if (num_cols > 0) { // This is a result-returning statement (e.g., SELECT) while (SQLFetch(hstmt) == SQL_SUCCESS) { // Process rows... } } else { // This is a non-result statement (e.g., CREATE, INSERT) SQLLEN row_count; SQLRowCount(hstmt, &row_count); // Process affected rows... } } while (SQLMoreResults(hstmt) == SQL_SUCCESS);
Pricing
You can download the ODBC driver for BigQuery at no cost. However, when you use the driver, standard BigQuery analysis pricing applies.
What's next
- Learn more about the JDBC driver for BigQuery.
- Explore other BigQuery developer tools.