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Using Google BigQuery documentation, provide at least three (3) possible failure modes that could cause following customer problem:

""" I am ingesting data regularly in streaming mode into my mobile-events table, querying the data back however shows timestamps six hours behind. Please help. """
You can use public BigQuery documentation for the client side and make assumptions about the serving side based on your experience with other similar products, provided the serving stack spreads across multiple machines and microservices.

BIG DAT AND MACHINE LEARNING
Hi Cloud Support,
I have records like this in BigQuery:
logs.datetime: ''2017-07-01T13:51:03"
logs.type: "worker"
logs.message: "Starting pipeline"
apps.name: "reader_af45c9"
apps.log_type: "worker"
And I'm trying to run this query:
select logs.datetime, logs.type, logs.message, apps.name
from logs inner join apps on logs.type = apps.log_type
where logs.datetime > "2017-07-01T00:00:00" and logs.datetime < "2017-07-02T00:00:00"
group by apps.name;
But it's not working. Can you help me?

A sample state of ‘a’:
[[2, NULL, 2, NULL],
[2, NULL, 2, NULL],
[NULL, NULL, NULL, NULL],
[NULL, NULL, NULL, NULL]]
FUNCTION foo()
FOR y = 0 to 3
FOR x = 0 to 3
IF a[x+1][y] != NULL
IF a[x+1][y] = a[x][y]:
a[x][y] := a[x][y]*2
a[x+1][y] := NULL
END IF
IF a[x][y] = NULL
a[x][y] := a[x+1][y]
a[x+1][y] := NULL
END IF
END IF
END FOR
END FOR
END FUNCTION