Some tests failed. Verified on M1 Mac.
failures:
---- sql::explain_analyze::csv_explain stdout ----
thread 'sql::explain_analyze::csv_explain' panicked at 'assertion failed:
`(left == right)`
left: `[["logical_plan", "Projection: #aggregate_test_100.c1\n Filter:
#aggregate_test_100.c2 > Int64(10)\n TableScan: aggregate_test_100
projection=[c1, c2], partial_filters=[#aggregate_test_100.c2 >
Int64(10)]"], ["physical_plan", "ProjectionExec: expr=[c1@0 as c1]\n
CoalesceBatchesExec:
target_batch_size=4096\n FilterExec: CAST(c2@1 AS Int64) > 10\n
RepartitionExec:
partitioning=RoundRobinBatch(NUM_CORES)\n CsvExec:
files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1, c2]\n"]]`,
right: `[["logical_plan", "Projection: #aggregate_test_100.c1\n Filter:
#aggregate_test_100.c2 > Int64(10)\n TableScan: aggregate_test_100
projection=[c1, c2], partial_filters=[#aggregate_test_100.c2 >
Int64(10)]"], ["physical_plan", "ProjectionExec: expr=[c1@0 as c1]\n
CoalesceBatchesExec:
target_batch_size=4096\n FilterExec: CAST(c2@1 AS Int64) > 10\n
RepartitionExec:
partitioning=RoundRobinBatch(NUM_CORES)\n CsvExec:
files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1, c2]\n"]]`',
datafusion/core/tests/sql/explain_analyze.rs:769:5
---- sql::explain_analyze::test_physical_plan_display_indent_multi_children
stdout ----
thread
'sql::explain_analyze::test_physical_plan_display_indent_multi_children'
panicked at 'assertion failed: `(left == right)`
left: `["ProjectionExec: expr=[c1@0 as c1]", " CoalesceBatchesExec:
target_batch_size=4096", " HashJoinExec: mode=Partitioned,
join_type=Inner, on=[(Column { name: \"c1\", index: 0 }, Column { name:
\"c2\", index: 0 })]", " CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c1\", index:
0 }], 9000)", " ProjectionExec: expr=[c1@0 as c1]", "
ProjectionExec:
expr=[c1@0 as c1]", " RepartitionExec:
partitioning=RoundRobinBatch(9000)", " CsvExec:
files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1]", " CoalesceBatchesExec:
target_batch_size=4096", " RepartitionExec:
partitioning=Hash([Column { name: \"c2\", index: 0 }], 9000)", "
ProjectionExec:
expr=[c2@0 as c2]", " ProjectionExec: expr=[c1@0 as c2]", "
RepartitionExec: partitioning=RoundRobinBatch(9000)", "
CsvExec: files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv],
has_header=true, limit=None, projection=[c1]"]`,
right: `["ProjectionExec: expr=[c1@0 as c1]", " CoalesceBatchesExec:
target_batch_size=4096", " HashJoinExec: mode=Partitioned,
join_type=Inner, on=[(Column { name: \"c1\", index: 0 }, Column { name:
\"c2\", index: 0 })]", " CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c1\", index:
0 }], 9000)", " ProjectionExec: expr=[c1@0 as c1]", "
ProjectionExec:
expr=[c1@0 as c1]", " RepartitionExec:
partitioning=RoundRobinBatch(9000)", " CsvExec:
files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1]", " CoalesceBatchesExec:
target_batch_size=4096", " RepartitionExec:
partitioning=Hash([Column { name: \"c2\", index: 0 }], 9000)", "
ProjectionExec:
expr=[c2@0 as c2]", " ProjectionExec: expr=[c1@0 as c2]", "
RepartitionExec: partitioning=RoundRobinBatch(9000)", "
CsvExec: files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv],
has_header=true, limit=None, projection=[c1]"]`: expected:
[
"ProjectionExec: expr=[c1@0 as c1]",
" CoalesceBatchesExec: target_batch_size=4096",
" HashJoinExec: mode=Partitioned, join_type=Inner, on=[(Column {
name: \"c1\", index: 0 }, Column { name: \"c2\", index: 0 })]",
" CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c1\",
index: 0 }], 9000)",
" ProjectionExec: expr=[c1@0 as c1]",
" ProjectionExec: expr=[c1@0 as c1]",
" RepartitionExec: partitioning=RoundRobinBatch(9000)",
" CsvExec:
files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1]",
" CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c2\",
index: 0 }], 9000)",
" ProjectionExec: expr=[c2@0 as c2]",
" ProjectionExec: expr=[c1@0 as c2]",
" RepartitionExec: partitioning=RoundRobinBatch(9000)",
" CsvExec:
files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1]",
]
actual:
[
"ProjectionExec: expr=[c1@0 as c1]",
" CoalesceBatchesExec: target_batch_size=4096",
" HashJoinExec: mode=Partitioned, join_type=Inner, on=[(Column {
name: \"c1\", index: 0 }, Column { name: \"c2\", index: 0 })]",
" CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c1\",
index: 0 }], 9000)",
" ProjectionExec: expr=[c1@0 as c1]",
" ProjectionExec: expr=[c1@0 as c1]",
" RepartitionExec: partitioning=RoundRobinBatch(9000)",
" CsvExec:
files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1]",
" CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c2\",
index: 0 }], 9000)",
" ProjectionExec: expr=[c2@0 as c2]",
" ProjectionExec: expr=[c1@0 as c2]",
" RepartitionExec: partitioning=RoundRobinBatch(9000)",
" CsvExec:
files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1]",
]
', datafusion/core/tests/sql/explain_analyze.rs:734:5
---- sql::explain_analyze::test_physical_plan_display_indent stdout ----
thread 'sql::explain_analyze::test_physical_plan_display_indent' panicked
at 'assertion failed: `(left == right)`
left: `["GlobalLimitExec: skip=None, fetch=10", " SortExec: [the_min@2
DESC]", " CoalescePartitionsExec", " ProjectionExec: expr=[c1@0 as
c1, MAX(aggregate_test_100.c12)@1 as MAX(aggregate_test_100.c12),
MIN(aggregate_test_100.c12)@2 as the_min]", " AggregateExec:
mode=FinalPartitioned, gby=[c1@0 as c1], aggr=[MAX(aggregate_test_100.c12),
MIN(aggregate_test_100.c12)]", " CoalesceBatchesExec:
target_batch_size=4096", " RepartitionExec:
partitioning=Hash([Column { name: \"c1\", index: 0 }], 9000)", "
AggregateExec: mode=Partial, gby=[c1@0 as c1],
aggr=[MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)]", "
CoalesceBatchesExec: target_batch_size=4096", "
FilterExec:
c12@1 < CAST(10 AS Float64)", " RepartitionExec:
partitioning=RoundRobinBatch(9000)", " CsvExec:
files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1, c12]"]`,
right: `["GlobalLimitExec: skip=None, fetch=10", " SortExec: [the_min@2
DESC]", " CoalescePartitionsExec", " ProjectionExec: expr=[c1@0 as
c1, MAX(aggregate_test_100.c12)@1 as MAX(aggregate_test_100.c12),
MIN(aggregate_test_100.c12)@2 as the_min]", " AggregateExec:
mode=FinalPartitioned, gby=[c1@0 as c1], aggr=[MAX(aggregate_test_100.c12),
MIN(aggregate_test_100.c12)]", " CoalesceBatchesExec:
target_batch_size=4096", " RepartitionExec:
partitioning=Hash([Column { name: \"c1\", index: 0 }], 9000)", "
AggregateExec: mode=Partial, gby=[c1@0 as c1],
aggr=[MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)]", "
CoalesceBatchesExec: target_batch_size=4096", "
FilterExec:
c12@1 < CAST(10 AS Float64)", " RepartitionExec:
partitioning=RoundRobinBatch(9000)", " CsvExec:
files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1, c12]"]`: expected:
[
"GlobalLimitExec: skip=None, fetch=10",
" SortExec: [the_min@2 DESC]",
" CoalescePartitionsExec",
" ProjectionExec: expr=[c1@0 as c1, MAX(aggregate_test_100.c12)@1
as MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)@2 as the_min]",
" AggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1],
aggr=[MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)]",
" CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c1\",
index: 0 }], 9000)",
" AggregateExec: mode=Partial, gby=[c1@0 as c1],
aggr=[MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)]",
" CoalesceBatchesExec: target_batch_size=4096",
" FilterExec: c12@1 < CAST(10 AS Float64)",
" RepartitionExec:
partitioning=RoundRobinBatch(9000)",
" CsvExec:
files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1, c12]",
]
actual:
[
"GlobalLimitExec: skip=None, fetch=10",
" SortExec: [the_min@2 DESC]",
" CoalescePartitionsExec",
" ProjectionExec: expr=[c1@0 as c1, MAX(aggregate_test_100.c12)@1
as MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)@2 as the_min]",
" AggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1],
aggr=[MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)]",
" CoalesceBatchesExec: target_batch_size=4096",
" RepartitionExec: partitioning=Hash([Column { name: \"c1\",
index: 0 }], 9000)",
" AggregateExec: mode=Partial, gby=[c1@0 as c1],
aggr=[MAX(aggregate_test_100.c12), MIN(aggregate_test_100.c12)]",
" CoalesceBatchesExec: target_batch_size=4096",
" FilterExec: c12@1 < CAST(10 AS Float64)",
" RepartitionExec:
partitioning=RoundRobinBatch(9000)",
" CsvExec:
files=[privateARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true,
limit=None, projection=[c1, c12]",
]
', datafusion/core/tests/sql/explain_analyze.rs:683:5
failures:
sql::explain_analyze::csv_explain
sql::explain_analyze::test_physical_plan_display_indent
sql::explain_analyze::test_physical_plan_display_indent_multi_children
test result: FAILED. 459 passed; 3 failed; 2 ignored; 0 measured; 0
filtered out; finished in 2.76s
error: test failed, to rerun pass '-p datafusion --test sql_integration'
+ cleanup
+ '[' no = yes ']'
On Wed, 17 Aug 2022 at 04:36, Ian Joiner <[email protected]> wrote:
> Never mind the PS in the last email haha.
>
> On Tue, Aug 16, 2022 at 1:16 PM Ian Joiner <[email protected]> wrote:
>
> > +1 (Non-binding)
> >
> > Verified on macOS 12.2.1 / Apple M1 Pro
> >
> > P.S. If verified with zsh instead of bash we got a command not found for
> shasum
> > -a 256 -c on verify_dir_artifact_signatures:10 unless shasums are
> > disabled which has been happening for a while. Not sure whether we want
> to
> > fix this. If so I will file a PR for that.
> >
> > On Tue, Aug 16, 2022 at 12:15 PM Andy Grove <[email protected]>
> wrote:
> >
> >> Hi,
> >>
> >> I would like to propose a release of Apache Arrow DataFusion
> >> Implementation,
> >> version 11.0.0.
> >>
> >> This release candidate is based on commit:
> >> 8ee31cc69f43a4de0c0678d18a57f27cb4d0ead1 [1]
> >> The proposed release tarball and signatures are hosted at [2].
> >> The changelog is located at [3].
> >>
> >> Please download, verify checksums and signatures, run the unit tests,
> and
> >> vote
> >> on the release. The vote will be open for at least 72 hours.
> >>
> >> Only votes from PMC members are binding, but all members of the
> community
> >> are
> >> encouraged to test the release and vote with "(non-binding)".
> >>
> >> The standard verification procedure is documented at
> >>
> >>
> https://github.com/apache/arrow-datafusion/blob/master/dev/release/README.md#verifying-release-candidates
> >> .
> >>
> >> [ ] +1 Release this as Apache Arrow DataFusion 11.0.0
> >> [ ] +0
> >> [ ] -1 Do not release this as Apache Arrow DataFusion 11.0.0 because...
> >>
> >> Here is my vote:
> >>
> >> +1
> >>
> >> [1]:
> >>
> >>
> https://github.com/apache/arrow-datafusion/tree/8ee31cc69f43a4de0c0678d18a57f27cb4d0ead1
> >> [2]:
> >>
> >>
> https://dist.apache.org/repos/dist/dev/arrow/apache-arrow-datafusion-11.0.0-rc1
> >> [3]:
> >>
> >>
> https://github.com/apache/arrow-datafusion/blob/8ee31cc69f43a4de0c0678d18a57f27cb4d0ead1/CHANGELOG.md
> >>
> >
>
