|
188 | 188 | supportsDBT: false
|
189 | 189 | supported_destination_sync_modes:
|
190 | 190 | - "append"
|
191 |
| -- dockerImage: "airbyte/destination-bigquery:0.6.4" |
| 191 | +- dockerImage: "airbyte/destination-bigquery:0.6.5" |
192 | 192 | spec:
|
193 | 193 | documentationUrl: "https://docs.airbyte.io/integrations/destinations/bigquery"
|
194 | 194 | connectionSpecification:
|
|
203 | 203 | big_query_client_buffer_size_mb:
|
204 | 204 | title: "Google BigQuery client chunk size"
|
205 | 205 | description: "Google BigQuery client's chunk(buffer) size (MIN=1, MAX =\
|
206 |
| - \ 15) for each table. The default 15MiB value is used if not set explicitly.\ |
207 |
| - \ It's recommended to decrease value for big data sets migration for less\ |
208 |
| - \ HEAP memory consumption and avoiding crashes. For more details refer\ |
209 |
| - \ to https://googleapis.dev/python/bigquery/latest/generated/google.cloud.bigquery.client.Client.html" |
| 206 | + \ 15) for each table. The size that will be written by a single RPC. Written\ |
| 207 | + \ data will be buffered and only flushed upon reaching this size or closing\ |
| 208 | + \ the channel. The default 15MiB value is used if not set explicitly.\ |
| 209 | + \ It's recommended to decrease value for big data sets migration for\ |
| 210 | + \ less HEAP memory consumption and avoiding crashes. For more details\ |
| 211 | + \ refer to https://googleapis.dev/python/bigquery/latest/generated/google.cloud.bigquery.client.Client.html" |
210 | 212 | type: "integer"
|
211 | 213 | minimum: 1
|
212 | 214 | maximum: 15
|
|
271 | 273 | airbyte_secret: true
|
272 | 274 | transformation_priority:
|
273 | 275 | type: "string"
|
274 |
| - description: "When running custom transformations or Basic normalization,\ |
275 |
| - \ running queries on interactive mode can hit BQ limits, choosing batch\ |
276 |
| - \ will solve those limits." |
| 276 | + description: "Interactive run type means that the query is executed as soon\ |
| 277 | + \ as possible, and these queries count towards concurrent rate limit and\ |
| 278 | + \ daily limit. Batch queries are queued and started as soon as idle resources\ |
| 279 | + \ are available in the BigQuery shared resource pool, which usually occurs\ |
| 280 | + \ within a few minutes. Batch queries don’t count towards your concurrent\ |
| 281 | + \ rate limit." |
277 | 282 | title: "Transformation Query Run Type"
|
278 | 283 | default: "interactive"
|
279 | 284 | enum:
|
|
378 | 383 | - "overwrite"
|
379 | 384 | - "append"
|
380 | 385 | - "append_dedup"
|
381 |
| -- dockerImage: "airbyte/destination-bigquery-denormalized:0.2.4" |
| 386 | +- dockerImage: "airbyte/destination-bigquery-denormalized:0.2.5" |
382 | 387 | spec:
|
383 | 388 | documentationUrl: "https://docs.airbyte.io/integrations/destinations/bigquery"
|
384 | 389 | connectionSpecification:
|
|
393 | 398 | big_query_client_buffer_size_mb:
|
394 | 399 | title: "Google BigQuery client chunk size"
|
395 | 400 | description: "Google BigQuery client's chunk (buffer) size (MIN = 1, MAX\
|
396 |
| - \ = 15) for each table. It defaults to 15MiB. Smaller chunk size means\ |
| 401 | + \ = 15) for each table. The size that will be written by a single RPC.\ |
| 402 | + \ Written data will be buffered and only flushed upon reaching this size\ |
| 403 | + \ or closing the channel. It defaults to 15MiB. Smaller chunk size means\ |
397 | 404 | \ less memory consumption, and is recommended for big data sets. For more\
|
398 |
| - \ details refer to the documentation <a href=\"https://googleapis.dev/python/bigquery/latest/generated/google.cloud.bigquery.client.Client.html\"\ |
| 405 | + \ details refer to the documentation <a href=\"https://googleapis.dev/python/bigquery/latest/generated/google.cloud.bigquery.client.Client.html\"\ |
399 | 406 | >here</a>"
|
400 | 407 | type: "integer"
|
401 | 408 | minimum: 1
|
|
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