DLHDLH.io Documentation
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BigQuery (Google)

DLH.io documentation for BigQuery (Google)

One of the most robust Cloud Data Warehouse solutions, and arguably the first, available on the market today it is a no brainer that we have Google BigQuery as a target system for DLH.io.

In order to get setup on BigQuery we use a sophisticated but elegant solution which aligns with open standards and uses the best pratices prescribed by Google, as well as a few that we have learned over hundreds of customer interactions.

Use this section of the documentation to explore:

BigQuery Case Sensitivity

Currently DLH.io abides by the case-sensitivity of BigQuery. This means that the dataset/schema and the tables are case-senstive when created and populated by DLH.io. As a future feature we will allow a force case-insensitive feature. In which case once will need to understand if their source connection has any case sensitivity which could result in an issue as the data is loaded into the target. There is potential for case-insensitivity to bcome the default standard of DLH.io

Per the BigQuery documentation on their lexical structure and syntax there are different uses of case sensitivity in the BigQuery platform.

CategoryCase-Sentitive?Notes
KeywordsNo
Bulit-in Function NamesNo
UDF NamesYes
Table NamesYes (can turn off)Yes, for Datasets and Tables Names; unless the option "is_case_insensitive" is set to TRUE
Column NameNo
String ValuesYes
String ComparisionsYes
Aliases within a QueryNo
Regular Expression MatchingRegEx matching is case-sensitive by default, unless the regex expression specifies case insensitivity
LIKE MatchingYes

If using the is_case_insensitive option, note that it cannot be used for ALTER SCHEMA only for CREATE SCHEMA (ref: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#schema_option_list). This is set when creating the SCHEMA as follows:

Set Case Insensitivity in BigQuery

CREATE SCHEMA mydataset
OPTIONS(
  is_case_insensitive=TRUE
)

Setup Instructions

Follow the setup steps guide for configuring your BigQuery (Google) connection to enable data to flow into your destination via DLH.

Supported Features

Here are key features supported for this connector.

Sync FeatureSupportedDetails
Custom Data and DevelopmentAbility to enhance connector upon request
Historical Re-Load/Load
Incremental/Delta LoadGets most recent records and changes
Column Selection
Column Hashing
Re-Sync Table/EntitySelect at the table level to reload data
history (on next Sync Bridge run)
Custom QueriesUtilizing SQL Data Query Connector
Custom Data
Captures Deleted RowsOn all supported tables
API Sync Bridge Initiation
Priority Scheduling
Private VPC/Link
DLH Data Model Available-

If you have any questions about these supported features please reach out to our Customer Support team.

Details on Sync Processing

For this connector, we believe the sync processing is straightforward. We've provided a number of details, steps, and other guidance here and in the setup steps guide. Be sure to also check the change log and notes page from time to time for any changes.