Refactor BQ to expose all beam's configurations

[RustedBones]

Here are the main changes:

• the BQ Table source has a single normalized definition, with multiple constrictors (form string spec or TableReference). It nows includes an optional Table.Filter that can be used is the storage read API to project and filter.

• read API changes with

API	method	returned type
bigQuerySelect	export	TableRow
bigQuerySelectFormat	export	T
bigQueryTable	export	TableRow
bigQueryTableFormat	export	T
bigQueryStorage	direct	TableRow
bigQueryStorageFormat	direct	T
typedBigQuery	export	T
typedBigQueryStorage	direct	T

Format API take a BigqueryIO.Format object allowing to convert either from GenericRecord (this should be prefered) or TableRow

• The Storage Api allow to pass an ErrorHandler (Fix Add ErrorHandling in BigQuery #5530). In order to preserve a flat structure ScioContext.errorSink(): ErrorSink has been added. This allow to do the following

val errorSink = sc.errorSink()
sc.bigQueryStorageFormat[MyType](
  table,
  format,
  errorHandler = errorSink.handler
)
val errors: SCollection[BadRecord] = errorSink.sink()

The handler can be passed to multiple IOs before sink is materialized. The sink will flatten the errors from the IOs.

[codecov]

Codecov Report

Attention: Patch coverage is 48.12030% with 138 lines in your changes missing coverage. Please review.

Project coverage is 61.50%. Comparing base (27fd3ca) to head (2d66440).
Report is 12 commits behind head on main.

Files	Patch %	Lines
...otify/scio/bigquery/syntax/ScioContextSyntax.scala	30.15%	44 Missing ⚠️
...n/scala/com/spotify/scio/bigquery/BigQueryIO.scala	67.76%	39 Missing ⚠️
...rc/main/scala/com/spotify/scio/bigquery/taps.scala	0.00%	22 Missing ⚠️
...cala/com/spotify/scio/bigquery/BigQueryTypes.scala	46.42%	15 Missing ⚠️
...otify/scio/bigquery/syntax/SCollectionSyntax.scala	25.00%	9 Missing ⚠️
...io/bigquery/dynamic/syntax/SCollectionSyntax.scala	0.00%	3 Missing ⚠️
...scala/com/spotify/scio/bigquery/MockBigQuery.scala	0.00%	2 Missing ⚠️
...la/com/spotify/scio/bigquery/client/BigQuery.scala	0.00%	2 Missing ⚠️
.../src/main/scala/com/spotify/scio/ScioContext.scala	50.00%	1 Missing ⚠️
...la/com/spotify/scio/bigquery/client/QueryOps.scala	0.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #5456      +/-   ##
==========================================
+ Coverage   61.31%   61.50%   +0.19%     
==========================================
  Files         312      313       +1     
  Lines       11068    11084      +16     
  Branches      792      784       -8     
==========================================
+ Hits         6786     6817      +31     
+ Misses       4282     4267      -15     

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[clairemcginty]

bit more explanation on error records could be helpful, maybe:

Suggested change

	* A sink for error records.
	* A sink for error records.
	*
	* An error record is produced by certain PTransforms that catch processing exceptions and transform the resulting (element, exception) pair into a [[BadRecord]] instance.
	* When an ErrorSink is configured (via ScioContext#errorSink), these BadRecords can be accessed as an SCollection by invoking the ErrorSink#sink method.
	* An ErrorSink is useful if you'd like to set up special handling of exceptions (incrementing Counters, logging the exceptions in a database, etc).

[clairemcginty]

could def handler be private[scio]? not sure when a user would need to access this

[RustedBones]

This is the API exposed by beam. As mentioned in the description we do not pass the ErrorSink directly.

sc.bigQueryStorageFormat[MyType](
  table,
  format,
  errorHandler = errorSink.handler
)

I was thinking of adding to the ScioContext a beam java like API too

def registerBadRecordErrorHandler[T](handler: PTransform[PCollection[BadRecord], T] sinkTransform): BadRecordErrorHandler[OutputT]