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BigQueryIO.Write Serialization of withJsonSchema


BigQueryIO.Write Serialization of withJsonSchema

By : tushar rajput
Date : November 17 2020, 03:01 PM
I wish did fix the issue. Looking at the code that throws the exception, it appears that this is a JSON parsing failure - your JSON schema is most likely malformed. According to the documentation, it should look something like this:
code :
{
  "fields": [
    {
      "name": string,
      "type": string,
      "mode": string,
      "fields": [
        (TableFieldSchema)
      ],
      "description": string
    }
  ]
}
{
  "fields": [
    {
      "name": "foo",
      "type": "INTEGER"
    },
    {
      "name": "bar",
      "type": "STRING",
    }
  ]
}


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How to force BigQueryIO.Write to create table in EU

How to force BigQueryIO.Write to create table in EU


By : Patrick444
Date : March 29 2020, 07:55 AM
To fix this issue Obviusly... location is set on dataset level, not table level. Thus the location of dataset in which table is created should be specified accordingly.
How do I read and transform CSV Headers before BigQueryIO.Write?

How do I read and transform CSV Headers before BigQueryIO.Write?


By : kc bdc
Date : March 29 2020, 07:55 AM
To fix the issue you can do This feature (dynamic schemas) is in review right now https://github.com/apache/beam/pull/2609 (I'm reviewing it). You can give a try to the in-progress PR, however note that its API is likely to change somewhat as a result of the review. I'll update this answer when the PR is submitted.
BigQueryIO.Write in dataflow 2.X

BigQueryIO.Write in dataflow 2.X


By : Abdel rhman
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Have you tried using BigqueryIO.writeTableRows()?
Apache Beam 2.1.0 BigqueryIO documentation https://beam.apache.org/documentation/sdks/javadoc/2.1.0/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.html
BigQueryIO - Write to two tables for each item

BigQueryIO - Write to two tables for each item


By : chibz
Date : March 29 2020, 07:55 AM
Hope that helps Beam pipelines are not limited to being a single straight line of transforms applied one after another - that would be very restrictive.
You can apply as many transforms as you want to any PCollection.
code :
PCollection<TableRow> rows = ...;
rows.apply(BigQueryIO.writeTableRows().to(first table));
rows.apply(BigQueryIO.writeTableRows().to(second table));
rows.apply(some more processing)
    .apply(BigQueryIO.writeTableRows().to(third table));
Get/Set BigQuery Job ID while doing BigQueryIO.write()

Get/Set BigQuery Job ID while doing BigQueryIO.write()


By : Tiago Luís Silva
Date : March 29 2020, 07:55 AM
This might help you Currently this is not possible. It is complicated by the fact that a single BigQueryIO.write() may use many BigQuery jobs under the hood (i.e. BigQueryIO.write() is a general-purpose API for writing data to BigQuery, rather than an API for working with a single specific BigQuery load job), e.g.:
In case the amount of data to be loaded is larger than the BigQuery limits for a single load job, BigQueryIO.write() will shard it into multiple load jobs. In case you are using one of the destination-dependent write methods (e.g. DynamicDestinations), and are loading into multiple tables at the same time, there'll be at least 1 load job per table. In case you are writing an unbounded PCollection using the BATCH_LOADS method, it will periodically issue load jobs for newly arrived data, subject to the notes above. In case you're using the STREAMING_INSERTS method (it is allowed to use it even if you're writing a bounded PCollection), there will be no load jobs at all.
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