The target-bigquery loader sends data into Google BigQuery after it was pulled from a source using an extractor
Alternate Implementations
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
-
Add the target-bigquery loader to your
project using
:meltano add
-
Configure the target-bigquery
settings using
:meltano config
meltano add loader target-bigquery --variant youcruit
meltano config target-bigquery set --interactive
Next steps
Follow the remaining steps of the Getting Started guide:
If you run into any issues, learn how to get help.
Capabilities
The current capabilities for
target-bigquery
may have been automatically set when originally added to the Hub. Please review the
capabilities when using this loader. If you find they are out of date, please
consider updating them by making a pull request to the YAML file that defines the
capabilities for this loader.
This plugin has the following capabilities:
- about
- schema-flattening
- stream-maps
You can
override these capabilities or specify additional ones
in your meltano.yml
by adding the capabilities
key.
Settings
The
target-bigquery
settings that are known to Meltano are documented below. To quickly
find the setting you're looking for, click on any setting name from the list:
append_only
batch_size
dataset
default_partition_column
location
max_batch_age
project_id
table_configs
table_prefix
truncate_before_load
Expand To Show SDK Settings
You can also list these settings using
with the meltano config
list
subcommand:
meltano config target-bigquery list
You can
override these settings or specify additional ones
in your meltano.yml
by adding the settings
key.
Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.
Append Only (append_only)
-
Environment variable:
TARGET_BIGQUERY_APPEND_ONLY
-
Default Value:
false
Only append data; don't overwrite existing data
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set append_only [value]
Batch Size (batch_size)
-
Environment variable:
TARGET_BIGQUERY_BATCH_SIZE
-
Default Value:
100000
Maximum size of batches when records are streamed in. BATCH messages are not affected by this property.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set batch_size [value]
Dataset (dataset)
-
Environment variable:
TARGET_BIGQUERY_DATASET
Dataset to load data into
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set dataset [value]
Default Partition Column (default_partition_column)
-
Environment variable:
TARGET_BIGQUERY_DEFAULT_PARTITION_COLUMN
Default partition column for all streams
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set default_partition_column [value]
Location (location)
-
Environment variable:
TARGET_BIGQUERY_LOCATION
Dataset location
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set location [value]
Max Batch Age (max_batch_age)
-
Environment variable:
TARGET_BIGQUERY_MAX_BATCH_AGE
-
Default Value:
5
Maximum time in minutes between state messages when records are streamed in. BATCH messages are not affected by this property.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set max_batch_age [value]
Project ID (project_id)
-
Environment variable:
TARGET_BIGQUERY_PROJECT_ID
Google project id
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set project_id [value]
Table Configs (table_configs)
-
Environment variable:
TARGET_BIGQUERY_TABLE_CONFIGS
Stream specific configs. Like partition keys.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set table_configs [value]
Table Prefix (table_prefix)
-
Environment variable:
TARGET_BIGQUERY_TABLE_PREFIX
Optional prefix to add to table names
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set table_prefix [value]
Truncate Before Load (truncate_before_load)
-
Environment variable:
TARGET_BIGQUERY_TRUNCATE_BEFORE_LOAD
-
Default Value:
false
If tables should be truncated before new data is loaded
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set truncate_before_load [value]
Expand To Show SDK Settings
Add Record Metadata (add_record_metadata)
-
Environment variable:
TARGET_BIGQUERY_ADD_RECORD_METADATA
-
Default Value:
true
Add Singer Data Capture (SDC) metadata to records
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set add_record_metadata [value]
Flattening Enabled (flattening_enabled)
-
Environment variable:
TARGET_BIGQUERY_FLATTENING_ENABLED
'True' to enable schema flattening and automatically expand nested properties.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set flattening_enabled [value]
Flattening Max Depth (flattening_max_depth)
-
Environment variable:
TARGET_BIGQUERY_FLATTENING_MAX_DEPTH
The max depth to flatten schemas.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set flattening_max_depth [value]
Stream Map Config (stream_map_config)
-
Environment variable:
TARGET_BIGQUERY_STREAM_MAP_CONFIG
User-defined config values to be used within map expressions.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set stream_map_config [value]
Stream Maps (stream_maps)
-
Environment variable:
TARGET_BIGQUERY_STREAM_MAPS
Config object for stream maps capability. For more information check out Stream Maps.
Configure this setting directly using the following Meltano command:
meltano config target-bigquery set stream_maps [value]
Something missing?
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Edit it on GitHub!Looking for help?
#plugins-general
channel.