- 13 1月, 2018 1 次提交
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由 Ashwin Agrawal 提交于
Author: Xin Zhang <xzhang@pivotal.io> Author: Jimmy Yih <jyih@pivotal.io> Author: Ashwin Agrawal <aagrawal@pivotal.io>
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- 05 4月, 2017 1 次提交
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由 Jimmy Yih 提交于
These tests assumed OID == relfilenode. We updated the tests to not assume it anymore.
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- 23 2月, 2017 1 次提交
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由 Heikki Linnakangas 提交于
These are the same tests queries for column-oriented append-only tables, as those moved by commit 11a5a807, for row-oriented append-only tables. There were two additional tests that were never executed for row-oriented tables though: phantom_reads_update_serializable and phantom_reads_delete_serializable. I believe that was an oversight in the original test suite; they are now also executed for row-oriented tables. We use the UAO templating mechanism, to run the same test files against row- and column-oriented tables. To make that work, fix a bug in the templating mechanism pg_regress.c: if the --ao-dir argument was shorter than 7 characters, the uao directory was not detected correctly.
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- 19 2月, 2017 2 次提交
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由 Heikki Linnakangas 提交于
Change the queries that check tuple counts on a particular segment, in utility mode, to not print out the exact tuple counts, but a crude classification of 0, 1, <5 or more tuples. That's less sensitive to how the tuples are distributed across segments. The locks_reindex test is moved to the regular regression suite. I rewrote it to use a more advanced "locktest" view, copied from the partition_locking test, which doesn't rely on utility mode. These changes should make the tests work with even larger clusters, but I've only tested with 1, 2, and 3 nodes.
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由 Heikki Linnakangas 提交于
This new "isolation2" suite uses the same Python helper that TINC used, to run these special isolation test cases.
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- 11 8月, 2016 1 次提交
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由 Jimmy Yih 提交于
TINC is an internal Pivotal test framework which is used for testing Greenplum. These regression tests are used regularly to validate internal and external commits. With this commit, nearly all Greenplum test code will be available for public usage.
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