chore: Update discovery artifacts (#1587)
## Deleted keys were detected in the following stable discovery artifacts:
bigquery v2 https://github.com/googleapis/google-api-python-client/commit/faedd49d24634e1646e15cb79a983391a6938faa
container v1 https://github.com/googleapis/google-api-python-client/commit/3c92c46132922d77598527fc98780edca5978ce2
gameservices v1 https://github.com/googleapis/google-api-python-client/commit/ea5f2216765868a1d6e48995f23b74709ca5ebef
## Deleted keys were detected in the following pre-stable discovery artifacts:
container v1beta1 https://github.com/googleapis/google-api-python-client/commit/3c92c46132922d77598527fc98780edca5978ce2
gameservices v1beta https://github.com/googleapis/google-api-python-client/commit/ea5f2216765868a1d6e48995f23b74709ca5ebef
## Discovery Artifact Change Summary:
feat(adexchangebuyer2): update the api https://github.com/googleapis/google-api-python-client/commit/49432a596a9d2e0a014afb2c57cc0ceec37aa403
feat(bigquery): update the api https://github.com/googleapis/google-api-python-client/commit/faedd49d24634e1646e15cb79a983391a6938faa
feat(chromemanagement): update the api https://github.com/googleapis/google-api-python-client/commit/89fc0743cff2c64a438339003fc1c8fdf99938dd
feat(cloudbuild): update the api https://github.com/googleapis/google-api-python-client/commit/8c2010464ec7a8aa6ffe8a044ae44ea0ab199f45
feat(compute): update the api https://github.com/googleapis/google-api-python-client/commit/c2acfdbefef85f8a4696ae467bd61d05db25cf31
feat(contactcenterinsights): update the api https://github.com/googleapis/google-api-python-client/commit/04ba8ef034ac1fd69e8e641c585e762e19078806
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/3c92c46132922d77598527fc98780edca5978ce2
feat(content): update the api https://github.com/googleapis/google-api-python-client/commit/037b9e1d5c9865af22a3c70dc44542ea3ce547dc
feat(datafusion): update the api https://github.com/googleapis/google-api-python-client/commit/fc6d716e71875ea73036e576bbaafb2826e01e1d
feat(dlp): update the api https://github.com/googleapis/google-api-python-client/commit/08353cbe37fc4c0dcc1311efead553797067417e
feat(documentai): update the api https://github.com/googleapis/google-api-python-client/commit/7974abc07dceffbc9fdb5365b706ed5e1a9899fc
feat(firebaseappcheck): update the api https://github.com/googleapis/google-api-python-client/commit/13220f0704b0d5b954520307a6702efead926e5e
feat(gameservices): update the api https://github.com/googleapis/google-api-python-client/commit/ea5f2216765868a1d6e48995f23b74709ca5ebef
feat(gkehub): update the api https://github.com/googleapis/google-api-python-client/commit/f4ae68ff69c32b5708f1e5f735cb03f3184f7650
feat(healthcare): update the api https://github.com/googleapis/google-api-python-client/commit/5c430ab79811ae3565a83d57ba06e0d48560f791
feat(monitoring): update the api https://github.com/googleapis/google-api-python-client/commit/3ad9f05ae340101c6016e4ceeef52661d0c01e21
feat(networkmanagement): update the api https://github.com/googleapis/google-api-python-client/commit/992b9f851e871feb796485e6af936a3d05899e4e
feat(osconfig): update the api https://github.com/googleapis/google-api-python-client/commit/972e716c233348d6e5d686f3718607a42e7d728a
feat(oslogin): update the api https://github.com/googleapis/google-api-python-client/commit/1ba23c68428c3c07a778f25dc9fc10998022c414
feat(paymentsresellersubscription): update the api https://github.com/googleapis/google-api-python-client/commit/cc7fd94a993048d6ca7cc34e42c4536df6eeb93d
feat(recaptchaenterprise): update the api https://github.com/googleapis/google-api-python-client/commit/2da594c083639420e285d70d26483e46df9fa1a0
feat(redis): update the api https://github.com/googleapis/google-api-python-client/commit/c16b96450466eb72e8122fc8aca0ce010a113350
feat(run): update the api https://github.com/googleapis/google-api-python-client/commit/c502728bfd31e520d4f5f06cc763dc2316cbb221
feat(searchconsole): update the api https://github.com/googleapis/google-api-python-client/commit/eede698004d718213b315b3728793a967a92e87b
feat(speech): update the api https://github.com/googleapis/google-api-python-client/commit/9f0148f2f0f035b9e3c7d73dbd95a8f961ef3eb1
feat(tagmanager): update the api https://github.com/googleapis/google-api-python-client/commit/fe4351bca507192a682440fa52f50eb98cef4434
feat(vmmigration): update the api https://github.com/googleapis/google-api-python-client/commit/d8afe7c7e0a556d31dc904e8878c1bf884a375af
diff --git a/docs/dyn/bigquery_v2.jobs.html b/docs/dyn/bigquery_v2.jobs.html
index a076211..80b08d8 100644
--- a/docs/dyn/bigquery_v2.jobs.html
+++ b/docs/dyn/bigquery_v2.jobs.html
@@ -196,7 +196,7 @@
},
"destinationTableProperties": { # [Beta] [Optional] Properties with which to create the destination table if it is new.
"description": "A String", # [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
- "expirationTimestampMillis": "A String", # [Optional] The expiration timestamp for the destination table. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
+ "expirationTime": "A String", # [Optional] The destination table expiration time. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
"friendlyName": "A String", # [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
"labels": { # [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
"a_key": "A String",
@@ -525,6 +525,18 @@
"updatedRowCount": "A String", # Number of updated Rows. Populated by DML UPDATE and MERGE statements.
},
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
+ "mlStatistics": { # [Output-only] Statistics of a BigQuery ML training job.
+ "iterationResults": [ # Results for all completed iterations.
+ {
+ "durationMs": "A String", # Time taken to run the iteration in milliseconds.
+ "evalLoss": 3.14, # Loss computed on the eval data at the end of iteration.
+ "index": 42, # Index of the iteration, 0 based.
+ "learnRate": 3.14, # Learn rate used for this iteration.
+ "trainingLoss": 3.14, # Loss computed on the training data at the end of iteration.
+ },
+ ],
+ "maxIterations": "A String", # Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
+ },
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
"expectedTotalIterations": "A String", # [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
@@ -828,7 +840,7 @@
},
"destinationTableProperties": { # [Beta] [Optional] Properties with which to create the destination table if it is new.
"description": "A String", # [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
- "expirationTimestampMillis": "A String", # [Optional] The expiration timestamp for the destination table. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
+ "expirationTime": "A String", # [Optional] The destination table expiration time. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
"friendlyName": "A String", # [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
"labels": { # [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
"a_key": "A String",
@@ -1157,6 +1169,18 @@
"updatedRowCount": "A String", # Number of updated Rows. Populated by DML UPDATE and MERGE statements.
},
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
+ "mlStatistics": { # [Output-only] Statistics of a BigQuery ML training job.
+ "iterationResults": [ # Results for all completed iterations.
+ {
+ "durationMs": "A String", # Time taken to run the iteration in milliseconds.
+ "evalLoss": 3.14, # Loss computed on the eval data at the end of iteration.
+ "index": 42, # Index of the iteration, 0 based.
+ "learnRate": 3.14, # Learn rate used for this iteration.
+ "trainingLoss": 3.14, # Loss computed on the training data at the end of iteration.
+ },
+ ],
+ "maxIterations": "A String", # Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
+ },
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
"expectedTotalIterations": "A String", # [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
@@ -1530,7 +1554,7 @@
},
"destinationTableProperties": { # [Beta] [Optional] Properties with which to create the destination table if it is new.
"description": "A String", # [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
- "expirationTimestampMillis": "A String", # [Optional] The expiration timestamp for the destination table. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
+ "expirationTime": "A String", # [Optional] The destination table expiration time. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
"friendlyName": "A String", # [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
"labels": { # [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
"a_key": "A String",
@@ -1859,6 +1883,18 @@
"updatedRowCount": "A String", # Number of updated Rows. Populated by DML UPDATE and MERGE statements.
},
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
+ "mlStatistics": { # [Output-only] Statistics of a BigQuery ML training job.
+ "iterationResults": [ # Results for all completed iterations.
+ {
+ "durationMs": "A String", # Time taken to run the iteration in milliseconds.
+ "evalLoss": 3.14, # Loss computed on the eval data at the end of iteration.
+ "index": 42, # Index of the iteration, 0 based.
+ "learnRate": 3.14, # Learn rate used for this iteration.
+ "trainingLoss": 3.14, # Loss computed on the training data at the end of iteration.
+ },
+ ],
+ "maxIterations": "A String", # Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
+ },
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
"expectedTotalIterations": "A String", # [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
@@ -2137,7 +2173,7 @@
},
"destinationTableProperties": { # [Beta] [Optional] Properties with which to create the destination table if it is new.
"description": "A String", # [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
- "expirationTimestampMillis": "A String", # [Optional] The expiration timestamp for the destination table. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
+ "expirationTime": "A String", # [Optional] The destination table expiration time. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
"friendlyName": "A String", # [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
"labels": { # [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
"a_key": "A String",
@@ -2466,6 +2502,18 @@
"updatedRowCount": "A String", # Number of updated Rows. Populated by DML UPDATE and MERGE statements.
},
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
+ "mlStatistics": { # [Output-only] Statistics of a BigQuery ML training job.
+ "iterationResults": [ # Results for all completed iterations.
+ {
+ "durationMs": "A String", # Time taken to run the iteration in milliseconds.
+ "evalLoss": 3.14, # Loss computed on the eval data at the end of iteration.
+ "index": 42, # Index of the iteration, 0 based.
+ "learnRate": 3.14, # Learn rate used for this iteration.
+ "trainingLoss": 3.14, # Loss computed on the training data at the end of iteration.
+ },
+ ],
+ "maxIterations": "A String", # Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
+ },
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
"expectedTotalIterations": "A String", # [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
@@ -2767,7 +2815,7 @@
},
"destinationTableProperties": { # [Beta] [Optional] Properties with which to create the destination table if it is new.
"description": "A String", # [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
- "expirationTimestampMillis": "A String", # [Optional] The expiration timestamp for the destination table. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
+ "expirationTime": "A String", # [Optional] The destination table expiration time. If this field is set: For a new table, it will set the table's expiration time (even if there is a dataset level default table expiration time). For an existing table, it will update the table's expiration time. If this field is not set: For a new table, if dataset level default table expiration time is present, that will be applied. For an existing table, no change is made to the table's expiration time. Additionally this field is only applied when data is written to an empty table (WRITE_EMPTY) or data is overwritten to a table (WRITE_TRUNCATE).
"friendlyName": "A String", # [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
"labels": { # [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
"a_key": "A String",
@@ -3101,6 +3149,18 @@
"updatedRowCount": "A String", # Number of updated Rows. Populated by DML UPDATE and MERGE statements.
},
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
+ "mlStatistics": { # [Output-only] Statistics of a BigQuery ML training job.
+ "iterationResults": [ # Results for all completed iterations.
+ {
+ "durationMs": "A String", # Time taken to run the iteration in milliseconds.
+ "evalLoss": 3.14, # Loss computed on the eval data at the end of iteration.
+ "index": 42, # Index of the iteration, 0 based.
+ "learnRate": 3.14, # Learn rate used for this iteration.
+ "trainingLoss": 3.14, # Loss computed on the training data at the end of iteration.
+ },
+ ],
+ "maxIterations": "A String", # Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
+ },
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
"expectedTotalIterations": "A String", # [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.