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migrate to query_and_wait for lower-latency small queries #15513
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api: bigqueryIssues related to the BigQuery API.Issues related to the BigQuery API.priority: p1Important issue which blocks shipping the next release. Will be fixed prior to next release.Important issue which blocks shipping the next release. Will be fixed prior to next release.type: feature request‘Nice-to-have’ improvement, new feature or different behavior or design.‘Nice-to-have’ improvement, new feature or different behavior or design.
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api: bigqueryIssues related to the BigQuery API.Issues related to the BigQuery API.priority: p1Important issue which blocks shipping the next release. Will be fixed prior to next release.Important issue which blocks shipping the next release. Will be fixed prior to next release.type: feature request‘Nice-to-have’ improvement, new feature or different behavior or design.‘Nice-to-have’ improvement, new feature or different behavior or design.
Similar to googleapis/python-bigquery-pandas#722, let's use
query_and_waitto issue queries.Note: We may want to update
query_and_waitto support progress bars on queries that last longer than the first call tojobs.querybefore doing this.Thought: I wonder if migrating to use
pandas-gbqto issue queries would make the most sense, given the desire to reduce redundancies?