Google Dataflow: Cannot read and write in different locations BigQuery - Python
According to this and this the problem should be fixed, isn't?
What I'm doing:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
query='SELECT * FROM XXX.YYY', use_standard_sql=True))
What I get:
Cannot read and write in different locations: source: EU, destination: US
What I've tried:
Specified the zone in pipeline_options:
pipeline_options.view_as(WorkerOptions).zone = 'europe-west1'
Use dryRun:
But none of them solved the problem.
EXTRA:
If you use:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
table='XXX:YYY.Table'))
You can get the result without problem
python google-bigquery google-cloud-dataflow apache-beam
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
add a comment |
According to this and this the problem should be fixed, isn't?
What I'm doing:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
query='SELECT * FROM XXX.YYY', use_standard_sql=True))
What I get:
Cannot read and write in different locations: source: EU, destination: US
What I've tried:
Specified the zone in pipeline_options:
pipeline_options.view_as(WorkerOptions).zone = 'europe-west1'
Use dryRun:
But none of them solved the problem.
EXTRA:
If you use:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
table='XXX:YYY.Table'))
You can get the result without problem
python google-bigquery google-cloud-dataflow apache-beam
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
add a comment |
According to this and this the problem should be fixed, isn't?
What I'm doing:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
query='SELECT * FROM XXX.YYY', use_standard_sql=True))
What I get:
Cannot read and write in different locations: source: EU, destination: US
What I've tried:
Specified the zone in pipeline_options:
pipeline_options.view_as(WorkerOptions).zone = 'europe-west1'
Use dryRun:
But none of them solved the problem.
EXTRA:
If you use:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
table='XXX:YYY.Table'))
You can get the result without problem
python google-bigquery google-cloud-dataflow apache-beam
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
According to this and this the problem should be fixed, isn't?
What I'm doing:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
query='SELECT * FROM XXX.YYY', use_standard_sql=True))
What I get:
Cannot read and write in different locations: source: EU, destination: US
What I've tried:
Specified the zone in pipeline_options:
pipeline_options.view_as(WorkerOptions).zone = 'europe-west1'
Use dryRun:
But none of them solved the problem.
EXTRA:
If you use:
| 'Read' >> beam.io.Read(beam.io.BigQuerySource(
table='XXX:YYY.Table'))
You can get the result without problem
python google-bigquery google-cloud-dataflow apache-beam
python google-bigquery google-cloud-dataflow apache-beam
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
edited Nov 20 '18 at 8:52
IoT user
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
asked Nov 19 '18 at 16:59
IoT userIoT user
12312
12312
add a comment |
add a comment |
1 Answer
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oldest
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Fixed updating the google-cloud-bigquery python package
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
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
Fixed updating the google-cloud-bigquery python package
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
add a comment |
Fixed updating the google-cloud-bigquery python package
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
add a comment |
Fixed updating the google-cloud-bigquery python package
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
Fixed updating the google-cloud-bigquery python package
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
edited Nov 23 '18 at 12:54
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
answered Nov 20 '18 at 8:49
IoT userIoT user
12312
12312
add a comment |
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