Open Database Connectivity Standard (ODBC) is an open standard application programming interface (API) that uses SQL to access one or more databases from a single application. 4D and 4D Server both provide a native SQL server that enables this functionality. In order to set up a connection between an application and a database using ODBC, you will need to download 4D's ODBC Driver, available in 32-bit versions for Mac OS or Windows and in 64-bit versions for Windows. (64-bit versions for OS X are available starting with 4D v14 R2).
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It does not require any external libraries: everything is inside. You can use this driver to retrieve data from ODBC clients such as Word, Excel, Crystal Reports®, or using a Python script, a JDBC-ODBC bridge, or any other possible ODBC clients. 4D's ODBC Driver is available on our web site.
Introduction Google has partnered with to provide ODBC and JDBC drivers that leverage the power of BigQuery's. The intent of these drivers is to help users connect the power of Google BigQuery with existing tooling and infrastructure that does not have native integration. If you are building new integrations with BigQuery, we recommend you consider the. The functionality exposed by an ODBC/JDBC connection is necessarily a subset of the full capabilities of BigQuery. Current ODBC Driver Releases (2.1.19.1024). Previous Version (2.1.17.1022). Current JDBC Driver Releases (1.1.8.1010).
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Caution:Versions later than 1.1.1 change JVM timezone behavior, see documentation included in the zip for more information. Previous Version (1.1.7.1009). Known Issues and FAQ Can I use these drivers to ingest or export data between Google BigQuery and my existing environment? These drivers leverage the query interface for BigQuery, and don't provide functionality to leverage BigQuery's large scale or export functionality. While you can use DML to issue small volumes of INSERT requests, it is subject to the.
How do the drivers deal with BigQuery's nested and repeated data schemas? Nested and repeated data (also known as STRUCTS and ARRAYS in standard SQL) is represented as the JSON output from the BigQuery API for these types because the ODBC data model does not have an appropriate way to represent the data.
While you might execute queries that manipulate these types, if the output schema from a query has complex types the drivers will present these encoded in JSON format. Note: It's possible to define logical views that provide a simpler representation of this data, such as flattening repeated values or selecting individual fields from a record. In these cases, the values would be directly available rather than the JSON representation. Do the drivers support parameterized queries? Yes, the drivers support positional parameterization. Note that preparing a query prior to execution provides validation information, but does not affect performance of the executed query. Do the drivers require a license?
Previous versions of the documentation accompanying the drivers made reference to licensing files. These provided drivers do not require a license file, and the documentation has been updated to make this clearer. Do the drivers support the SQL query prefix?
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While BigQuery supports using to switch between the legacy SQL and standard SQL dialects, the drivers do not. The drivers maintain specific state related to the SQL mode used and set the option explicitly when creating the connection. Because the SQL mode is fixed when the connection is created, the drivers do not support switching SQL dialects using query prefixes. How do I get support for these drivers?
Please consult our for support options. The BigQuery team does not provide direct engineering support for the drivers, but instead coordinates with the Simba team as necessary to address reported issues.