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ARROW-14231: [C++] Support casting timestamp with timezone to string - #11328

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

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Rebased on top of the recent temporal kernel refactoring.

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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ARROW-14231: [C++] Support casting timestamp with timezone to string by lidavidm · Pull Request #11328 · apache/arrow · GitHub
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ARROW-14231: [C++] Support casting timestamp with timezone to string - #11328

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
@ursabot

ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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ARROW-14231: [C++] Support casting timestamp with timezone to string - #11328

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
@ursabot

ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
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ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' ARROW-14231: [C++] Support casting timestamp with timezone to string by lidavidm · Pull Request #11328 · apache/arrow · GitHub
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ARROW-14231: [C++] Support casting timestamp with timezone to string - #11328

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
@ursabot

ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' ARROW-14231: [C++] Support casting timestamp with timezone to string by lidavidm · Pull Request #11328 · apache/arrow · GitHub
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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
@ursabot

ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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ARROW-14231: [C++] Support casting timestamp with timezone to string - #11328

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
@ursabot

ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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ARROW-14231: [C++] Support casting timestamp with timezone to string - #11328

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ARROW-14231: [C++] Support casting timestamp with timezone to string#11328
lidavidm wants to merge 4 commits into
apache:masterfrom
lidavidm:arrow-14231

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@lidavidm

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Shouldn't we keep some indication of that it has a time zone (was an instant) in the case of UTC as well? (otherwise a roundtrip to csv would give a native timestamp without timezone for UTC, but a timestamp with timezone (UTC) for non-UTC timezones)

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Ah, yeah, you're right. I'll fix that.

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Do we actually want to append the timezone and localize the timestamp? Pretty-printing currently doesn't.

I don't know what the user expects here (we may actually need to make this customizable at some point :-)).

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At least, Pandas does:

>>> print(pd.DataFrame({"a": [pd.Timestamp("1968-11-30 13:30:45.123456789", tz="America/Phoenix")]}).to_csv())
,a
0,1968-11-30 13:30:45.123456789-07:00

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Ah, I see. I wonder if those files are roundtrippable (is our CSV reader able to read them?).

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Nope! Good thing you pointed that out. I'll dig a bit.

/home/lidavidm/Code/upstream/arrow-14231/cpp/src/arrow/csv/converter_test.cc:68: Failure
Failed
'_error_or_value12.status()' failed with Invalid: CSV conversion error to timestamp[ns, tz=UTC]: invalid value '1970-01-01 00:00:00+0000'

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Pretty-printing currently doesn't.

Personally, I find this a "bug" in our current pretty printing (I find it rather confusing that it doesn't show at all that you have timezone-aware timestamps)

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And we have https://issues.apache.org/jira/browse/ARROW-13625 (and the linked issues) about the parsing side not yet supporting timezones

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Cool, we can tackle the reading side separately then :-)

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Thanks for digging those up!

@lidavidm

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Rebased on top of the recent temporal kernel refactoring.

@lidavidm

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This and ARROW-12820/#11358 now pass CI and should handle both reading/writing of timestamps with timezones.

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Nit, but static const std::string perhaps?

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Shouldn't it be "Z" rather than "+0000" for UTC timestamps?
See Wikipedia: https://en.wikipedia.org/wiki/ISO_8601#Coordinated_Universal_Time_(UTC)

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Ah good point. I've fixed this + added a UTC timestamp to the CSV writer test as well.

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+1, thank you @lidavidm !

for (auto string_type : {utf8(), large_utf8()}) {
ASSERT_RAISES(NotImplemented, Cast(ArrayFromJSON(timestamp(TimeUnit::SECOND, "UTC"),
"[-34226955, 1456767743]"),
CastOptions::Safe(string_type)));

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UTC could probably be made to work on Windows, can you perhaps create a followup JIRA for that?

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@pitroupitrou closed this in f3f4423Nov 9, 2021
@ursabot

ursabot commented Nov 9, 2021

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Benchmark runs are scheduled for baseline = ed8c76e and contender = f3f4423. f3f4423 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Finished ⬇️0.0% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.45% ⬆️0.04%] ursa-thinkcentre-m75q
Supported benchmarks:
ursa-i9-9960x: langs = Python, R, JavaScript
ursa-thinkcentre-m75q: langs = C++, Java
ec2-t3-xlarge-us-east-2: cloud = True

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4 participants

@lidavidm@ursabot@jorisvandenbossche@pitrou