Google Dataflow: Cannot read and write in different locations BigQuery - Python
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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
add a comment |
up vote
0
down vote
favorite
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
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
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
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
edited Nov 20 at 8:52
asked Nov 19 at 16:59
IoT user
1288
1288
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1 Answer
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up vote
0
down vote
accepted
Fixed updating the google-cloud-bigquery python package
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1 Answer
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active
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1 Answer
1
active
oldest
votes
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oldest
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votes
up vote
0
down vote
accepted
Fixed updating the google-cloud-bigquery python package
add a comment |
up vote
0
down vote
accepted
Fixed updating the google-cloud-bigquery python package
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
Fixed updating the google-cloud-bigquery python package
Fixed updating the google-cloud-bigquery python package
edited Nov 23 at 12:54
answered Nov 20 at 8:49
IoT user
1288
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add a comment |
add a comment |
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