How to take the backup of a dataset in BigQuery?
We want to create a backup copy of a BigQuery dataset in case a table is accidentally dropped, as it is only recoverable within 2 days.
Is there a way to extend the duration of the recovery period? If not, how can we create a backup of a dataset with a retention period of 30 days in BigQuery?
google-bigquery backup
edited Nov 28 '18 at 22:46
Yannick MG
519417
asked Nov 20 '18 at 16:13
user2786458user2786458
43
add a comment |
We want to create a backup copy of a BigQuery dataset in case a table is accidentally dropped, as it is only recoverable within 2 days.
Is there a way to extend the duration of the recovery period? If not, how can we create a backup of a dataset with a retention period of 30 days in BigQuery?
google-bigquery backup
edited Nov 28 '18 at 22:46
Yannick MG
519417
asked Nov 20 '18 at 16:13
user2786458user2786458
43
I should note that the Cloud BigQuery product team already aware of your interest on this feature request and I recommend to star this ticket to follow your feature request.
– Katayoon
Nov 26 '18 at 22:17
add a comment |
We want to create a backup copy of a BigQuery dataset in case a table is accidentally dropped, as it is only recoverable within 2 days.
Is there a way to extend the duration of the recovery period? If not, how can we create a backup of a dataset with a retention period of 30 days in BigQuery?
google-bigquery backup
edited Nov 28 '18 at 22:46
Yannick MG
519417
asked Nov 20 '18 at 16:13
user2786458user2786458
43
We want to create a backup copy of a BigQuery dataset in case a table is accidentally dropped, as it is only recoverable within 2 days.
Is there a way to extend the duration of the recovery period? If not, how can we create a backup of a dataset with a retention period of 30 days in BigQuery?
google-bigquery backup
google-bigquery backup
edited Nov 28 '18 at 22:46
Yannick MG
519417
asked Nov 20 '18 at 16:13
user2786458user2786458
43
edited Nov 28 '18 at 22:46
Yannick MG
519417
asked Nov 20 '18 at 16:13
user2786458user2786458
43
edited Nov 28 '18 at 22:46
Yannick MG
519417
edited Nov 28 '18 at 22:46
Yannick MG
519417
edited Nov 28 '18 at 22:46
Yannick MG
519417
519417
asked Nov 20 '18 at 16:13
user2786458user2786458
43
asked Nov 20 '18 at 16:13
user2786458user2786458
43
asked Nov 20 '18 at 16:13
user2786458user2786458
43
43
I should note that the Cloud BigQuery product team already aware of your interest on this feature request and I recommend to star this ticket to follow your feature request.
– Katayoon
Nov 26 '18 at 22:17
add a comment |
I should note that the Cloud BigQuery product team already aware of your interest on this feature request and I recommend to star this ticket to follow your feature request.
– Katayoon
Nov 26 '18 at 22:17
I should note that the Cloud BigQuery product team already aware of your interest on this feature request and I recommend to star this ticket to follow your feature request.
– Katayoon
Nov 26 '18 at 22:17
I should note that the Cloud BigQuery product team already aware of your interest on this feature request and I recommend to star this ticket to follow your feature request.
– Katayoon
Nov 26 '18 at 22:17
add a comment |
1 Answer
1
active
oldest
votes
It is currently not possible to extend the duration of the recovery period. A feature request for the ability to extend the duration of the recovery period has already been created as commented by Katayoon.
Here is a public link to monitor the progress on that issue: https://issuetracker.google.com/120038872
To backup datasets in BigQuery you could either make copies of your dataset, or as a more workable solution, export the data to Cloud Storage, so you can import it back at a later time. Cloud Storage allows you to set a retention period and a lifecycle policy which together will allow you to make sure that data stays undisturbed for the desired amount of time, and that it removes itself after a given time should you wish to save on storage costs.
For how you do export in BigQuery:
You can export the tables as AVRO, JSON or CSV files to the Cloud Storage via web UI, command line, an API and using various languages like C#, Go, Python and Java, as long as both are in the same location. There are other limitations to exporting a table, such as file size, Integer encoding, data compression, etc.
Link to table export and limitations:
https://cloud.google.com/bigquery/docs/exporting-data
You can find the instructions on the procedures here:
Retention Policies and Bucket Lock: https://cloud.google.com/storage/docs/using-bucket-lock#lock-bucket
Object Lifecycle Management:
https://cloud.google.com/storage/docs/managing-lifecycles
Loading data into BigQuery can be done using various file formats, such as CSV, JSON, Avro, Parquet, or ORC and so on. At this moment you can load directly only from local storage, or from Google Storage. More on loading data, file formats, data sources and limitations by following the link: https://cloud.google.com/bigquery/docs/loading-data
More information on
Exporting tables: https://cloud.google.com/bigquery/docs/exporting-data
Export limitations: https://cloud.google.com/bigquery/docs/exporting-data#export_limitations
Loading data into BigQuery: https://cloud.google.com/bigquery/docs/loading-data
Wildcards: https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames
Merging the file: https://cloud.google.com/storage/docs/gsutil/commands/compose
answered Nov 28 '18 at 21:32
FimFim
236
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
It is currently not possible to extend the duration of the recovery period. A feature request for the ability to extend the duration of the recovery period has already been created as commented by Katayoon.
Here is a public link to monitor the progress on that issue: https://issuetracker.google.com/120038872
To backup datasets in BigQuery you could either make copies of your dataset, or as a more workable solution, export the data to Cloud Storage, so you can import it back at a later time. Cloud Storage allows you to set a retention period and a lifecycle policy which together will allow you to make sure that data stays undisturbed for the desired amount of time, and that it removes itself after a given time should you wish to save on storage costs.
For how you do export in BigQuery:
You can export the tables as AVRO, JSON or CSV files to the Cloud Storage via web UI, command line, an API and using various languages like C#, Go, Python and Java, as long as both are in the same location. There are other limitations to exporting a table, such as file size, Integer encoding, data compression, etc.
Link to table export and limitations:
https://cloud.google.com/bigquery/docs/exporting-data
You can find the instructions on the procedures here:
Retention Policies and Bucket Lock: https://cloud.google.com/storage/docs/using-bucket-lock#lock-bucket
Object Lifecycle Management:
https://cloud.google.com/storage/docs/managing-lifecycles
Loading data into BigQuery can be done using various file formats, such as CSV, JSON, Avro, Parquet, or ORC and so on. At this moment you can load directly only from local storage, or from Google Storage. More on loading data, file formats, data sources and limitations by following the link: https://cloud.google.com/bigquery/docs/loading-data
More information on
Exporting tables: https://cloud.google.com/bigquery/docs/exporting-data
Export limitations: https://cloud.google.com/bigquery/docs/exporting-data#export_limitations
Loading data into BigQuery: https://cloud.google.com/bigquery/docs/loading-data
Wildcards: https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames
Merging the file: https://cloud.google.com/storage/docs/gsutil/commands/compose
answered Nov 28 '18 at 21:32
FimFim
236
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
add a comment |
It is currently not possible to extend the duration of the recovery period. A feature request for the ability to extend the duration of the recovery period has already been created as commented by Katayoon.
Here is a public link to monitor the progress on that issue: https://issuetracker.google.com/120038872
To backup datasets in BigQuery you could either make copies of your dataset, or as a more workable solution, export the data to Cloud Storage, so you can import it back at a later time. Cloud Storage allows you to set a retention period and a lifecycle policy which together will allow you to make sure that data stays undisturbed for the desired amount of time, and that it removes itself after a given time should you wish to save on storage costs.
For how you do export in BigQuery:
You can export the tables as AVRO, JSON or CSV files to the Cloud Storage via web UI, command line, an API and using various languages like C#, Go, Python and Java, as long as both are in the same location. There are other limitations to exporting a table, such as file size, Integer encoding, data compression, etc.
Link to table export and limitations:
https://cloud.google.com/bigquery/docs/exporting-data
You can find the instructions on the procedures here:
Retention Policies and Bucket Lock: https://cloud.google.com/storage/docs/using-bucket-lock#lock-bucket
Object Lifecycle Management:
https://cloud.google.com/storage/docs/managing-lifecycles
Loading data into BigQuery can be done using various file formats, such as CSV, JSON, Avro, Parquet, or ORC and so on. At this moment you can load directly only from local storage, or from Google Storage. More on loading data, file formats, data sources and limitations by following the link: https://cloud.google.com/bigquery/docs/loading-data
More information on
Exporting tables: https://cloud.google.com/bigquery/docs/exporting-data
Export limitations: https://cloud.google.com/bigquery/docs/exporting-data#export_limitations
Loading data into BigQuery: https://cloud.google.com/bigquery/docs/loading-data
Wildcards: https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames
Merging the file: https://cloud.google.com/storage/docs/gsutil/commands/compose
answered Nov 28 '18 at 21:32
FimFim
236
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
add a comment |
It is currently not possible to extend the duration of the recovery period. A feature request for the ability to extend the duration of the recovery period has already been created as commented by Katayoon.
Here is a public link to monitor the progress on that issue: https://issuetracker.google.com/120038872
To backup datasets in BigQuery you could either make copies of your dataset, or as a more workable solution, export the data to Cloud Storage, so you can import it back at a later time. Cloud Storage allows you to set a retention period and a lifecycle policy which together will allow you to make sure that data stays undisturbed for the desired amount of time, and that it removes itself after a given time should you wish to save on storage costs.
For how you do export in BigQuery:
You can export the tables as AVRO, JSON or CSV files to the Cloud Storage via web UI, command line, an API and using various languages like C#, Go, Python and Java, as long as both are in the same location. There are other limitations to exporting a table, such as file size, Integer encoding, data compression, etc.
Link to table export and limitations:
https://cloud.google.com/bigquery/docs/exporting-data
You can find the instructions on the procedures here:
Retention Policies and Bucket Lock: https://cloud.google.com/storage/docs/using-bucket-lock#lock-bucket
Object Lifecycle Management:
https://cloud.google.com/storage/docs/managing-lifecycles
Loading data into BigQuery can be done using various file formats, such as CSV, JSON, Avro, Parquet, or ORC and so on. At this moment you can load directly only from local storage, or from Google Storage. More on loading data, file formats, data sources and limitations by following the link: https://cloud.google.com/bigquery/docs/loading-data
More information on
Exporting tables: https://cloud.google.com/bigquery/docs/exporting-data
Export limitations: https://cloud.google.com/bigquery/docs/exporting-data#export_limitations
Loading data into BigQuery: https://cloud.google.com/bigquery/docs/loading-data
Wildcards: https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames
Merging the file: https://cloud.google.com/storage/docs/gsutil/commands/compose
answered Nov 28 '18 at 21:32
FimFim
236
It is currently not possible to extend the duration of the recovery period. A feature request for the ability to extend the duration of the recovery period has already been created as commented by Katayoon.
Here is a public link to monitor the progress on that issue: https://issuetracker.google.com/120038872
To backup datasets in BigQuery you could either make copies of your dataset, or as a more workable solution, export the data to Cloud Storage, so you can import it back at a later time. Cloud Storage allows you to set a retention period and a lifecycle policy which together will allow you to make sure that data stays undisturbed for the desired amount of time, and that it removes itself after a given time should you wish to save on storage costs.
For how you do export in BigQuery:
You can export the tables as AVRO, JSON or CSV files to the Cloud Storage via web UI, command line, an API and using various languages like C#, Go, Python and Java, as long as both are in the same location. There are other limitations to exporting a table, such as file size, Integer encoding, data compression, etc.
Link to table export and limitations:
https://cloud.google.com/bigquery/docs/exporting-data
You can find the instructions on the procedures here:
Retention Policies and Bucket Lock: https://cloud.google.com/storage/docs/using-bucket-lock#lock-bucket
Object Lifecycle Management:
https://cloud.google.com/storage/docs/managing-lifecycles
Loading data into BigQuery can be done using various file formats, such as CSV, JSON, Avro, Parquet, or ORC and so on. At this moment you can load directly only from local storage, or from Google Storage. More on loading data, file formats, data sources and limitations by following the link: https://cloud.google.com/bigquery/docs/loading-data
More information on
Exporting tables: https://cloud.google.com/bigquery/docs/exporting-data
Export limitations: https://cloud.google.com/bigquery/docs/exporting-data#export_limitations
Loading data into BigQuery: https://cloud.google.com/bigquery/docs/loading-data
Wildcards: https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames
Merging the file: https://cloud.google.com/storage/docs/gsutil/commands/compose
answered Nov 28 '18 at 21:32
FimFim
236
edited Dec 12 '18 at 15:31
answered Nov 28 '18 at 21:32
FimFim
236
answered Nov 28 '18 at 21:32
FimFim
236
answered Nov 28 '18 at 21:32
FimFim
236
236
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
add a comment |
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
Thank your for your help.
– user2786458
Nov 30 '18 at 15:18
add a comment |
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I should note that the Cloud BigQuery product team already aware of your interest on this feature request and I recommend to star this ticket to follow your feature request.
– Katayoon
Nov 26 '18 at 22:17