feat(upgrade): Similar query processors for both error storages

[nikhars]

In order to map errors dataset to the tiger cluster, we need to make the query processors be the same for errors and errors_v2. That means adding tuple_unaliaser to the errors dataset.

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[codecov-commenter]

Codecov Report

Base: 92.75% // Head: 93.09% // Increases project coverage by +0.33% 🎉

Coverage data is based on head (6708b59) compared to base (1d53011).
Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #3105      +/-   ##
==========================================
+ Coverage   92.75%   93.09%   +0.33%     
==========================================
  Files         673      673              
  Lines       30888    30889       +1     
==========================================
+ Hits        28650    28755     +105     
+ Misses       2238     2134     -104     

Impacted Files	Coverage Δ
snuba/datasets/storages/errors_common.py	100.00% <100.00%> (ø)
snuba/clusters/cluster.py	96.55% <0.00%> (+0.68%)	⬆️
snuba/migrations/table_engines.py	98.87% <0.00%> (+3.37%)	⬆️
...ba/snuba_migrations/events/0014_backfill_errors.py	96.36% <0.00%> (+3.63%)	⬆️
tests/migrations/test_runner_individual.py	93.40% <0.00%> (+40.65%)	⬆️
...ts/0010_groupedmessages_onpremise_compatibility.py	100.00% <0.00%> (+48.88%)	⬆️
...nsactions_onpremise_fix_orderby_and_partitionby.py	84.00% <0.00%> (+52.00%)	⬆️

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