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Samarth Jain edited comment on PHOENIX-3201 at 8/26/16 2:25 AM:
Looks
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prakul agarwal updated PHOENIX-3201:
Attachment: PHOENIX-3201.patch
> Implement DAYOFWEEK and DAYOFYEAR built-in functions
>
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prakul agarwal updated PHOENIX-3201:
Attachment: (was: PHOENIX-3201.patch)
> Implement DAYOFWEEK and DAYOFYEAR built-in
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Samarth Jain commented on PHOENIX-3036:
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I am not able to apply the patch for master and
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Hadoop QA commented on PHOENIX-3036:
{color:red}-1 overall{color}. Here are the results of testing
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Samarth Jain updated PHOENIX-3036:
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Attachment: PHOENIX-3036_v2.patch
Patch that I am going to commit for 4.x-98 branch.
>
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Hadoop QA commented on PHOENIX-3203:
{color:red}-1 overall{color}. Here are the results of testing
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prakul agarwal updated PHOENIX-3201:
Attachment: (was: PHOENIX-3201.patch)
> Implement DAYOFWEEK and DAYOFYEAR built-in
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prakul agarwal updated PHOENIX-3201:
Attachment: PHOENIX-3201.patch
> Implement DAYOFWEEK and DAYOFYEAR built-in functions
>
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James Taylor commented on PHOENIX-3203:
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+1. Thanks, [~tdsilva]!
> Tenant cache lookup in Global
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Hadoop QA commented on PHOENIX-3203:
{color:red}-1 overall{color}. Here are the results of testing
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Thomas D'Silva updated PHOENIX-3203:
Attachment: PHOENIX-3203-v2.patch
[~jamestaylor]
Thanks for the review, I have attached
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James Taylor commented on PHOENIX-3210:
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Also, [~prakul] - if you could check all
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Shehzaad Nakhoda commented on PHOENIX-3210:
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[~prakul] once you have an upsert statement where
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ASF GitHub Bot commented on PHOENIX-3189:
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Github user JamesRTaylor commented on the issue:
Github user JamesRTaylor commented on the issue:
https://github.com/apache/phoenix/pull/191
Would an alternative be to not rely on the User.equals method, but instead
modify ConnectionInfo.equals to do some other kind of equality check on User?
---
If your project is set up for it,
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Thomas D'Silva commented on PHOENIX-2995:
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[~tedyu]
Are you referring to the call in
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James Taylor commented on PHOENIX-3203:
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Patch looks good, but can we also change the the
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ASF GitHub Bot commented on PHOENIX-3189:
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Github user JamesRTaylor commented on a diff in the
Github user JamesRTaylor commented on a diff in the pull request:
https://github.com/apache/phoenix/pull/191#discussion_r76336767
--- Diff:
phoenix-core/src/main/java/org/apache/phoenix/jdbc/PhoenixEmbeddedDriver.java
---
@@ -333,6 +337,55 @@ public ConnectionInfo
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Thomas D'Silva updated PHOENIX-3203:
Attachment: PHOENIX-3203.patch
[~jamestaylor]
Can you please review?
> Tenant cache
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prakul agarwal commented on PHOENIX-3210:
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I'm on it.
> Exception trying to cast Double to
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Hadoop QA commented on PHOENIX-3036:
{color:red}-1 overall{color}. Here are the results of testing
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James Taylor commented on PHOENIX-3201:
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Thanks for the tip, [~samarthjain]. Would be good to
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Samarth Jain commented on PHOENIX-3201:
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{code}
git format-patch --stdout origin >
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James Taylor commented on PHOENIX-3201:
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Still not getting a test run, [~prakul]. Make sure you
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James Taylor commented on PHOENIX-3210:
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[~prakul] - want to take a crack at this one? I suspect
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James Taylor updated PHOENIX-3210:
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Assignee: prakul agarwal
> Exception trying to cast Double to BigDecimal in UpsertCompiler
>
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Josh Elser commented on PHOENIX-3189:
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Hey [~devaraj], do you have a moment to look at the pull
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James Taylor updated PHOENIX-3210:
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Labels: SFDC (was: )
> Exception trying to cast Double to BigDecimal in UpsertCompiler
>
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Samarth Jain commented on PHOENIX-3036:
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Yes, passed for me for the last two runs. Running again
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James Taylor updated PHOENIX-3210:
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Fix Version/s: 4.8.1
4.9.0
> Exception trying to cast Double to BigDecimal
Shehzaad Nakhoda created PHOENIX-3210:
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Summary: Exception trying to cast Double to BigDecimal in
UpsertCompiler
Key: PHOENIX-3210
URL: https://issues.apache.org/jira/browse/PHOENIX-3210
Project:
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James Taylor commented on PHOENIX-3036:
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Nice! Great work, [~prakul] & [~samarthjain]! Do the test
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Samarth Jain updated PHOENIX-3036:
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Attachment: PHOENIX-3036_addendum.patch
Addendum patch to address verification failures we
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James Taylor updated PHOENIX-2474:
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Fix Version/s: 4.8.1
4.9.0
> Cannot round to a negative precision (to the
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Kevin Liew updated PHOENIX-2474:
Comment: was deleted
(was: https://github.com/apache/phoenix/pull/198)
> Cannot round to a
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Andrew Purtell edited comment on PHOENIX-2909 at 8/25/16 8:28 PM:
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You
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Kevin Liew commented on PHOENIX-2474:
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https://github.com/apache/phoenix/pull/198
> Cannot round to
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ASF GitHub Bot commented on PHOENIX-2474:
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GitHub user kliewkliew opened a pull request:
GitHub user kliewkliew opened a pull request:
https://github.com/apache/phoenix/pull/198
PHOENIX-2474 Cannot round to a negative precision (to the left of theâ¦
⦠decimal)
You can merge this pull request into a Git repository by running:
$ git pull
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Andrew Purtell commented on PHOENIX-2909:
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You might consider implementing counters as simple
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Hadoop QA commented on PHOENIX-3201:
{color:red}-1 overall{color}. Here are the results of testing
1/1 EXPLAIN SELECT SUM(L_EXTENDEDPRICE) / 7.0 AS AVG_YEARLY
FROM
TPCH.LINEITEM,
TPCH.PART
WHERE
P_PARTKEY = L_PARTKEY
AND P_BRAND = 'BRAND#23'
AND P_CONTAINER = 'MED BOX'
AND L_QUANTITY < (
SELECT 0.2 * AVG(L_QUANTITY)
FROM
TPCH.LINEITEM
WHERE
L_PARTKEY = P_PARTKEY
)
;
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prakul agarwal updated PHOENIX-3201:
Attachment: PHOENIX-3201.patch
> Implement DAYOFWEEK and DAYOFYEAR built-in functions
>
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prakul agarwal updated PHOENIX-3201:
Attachment: (was: PHOENIX-3201.patch)
> Implement DAYOFWEEK and DAYOFYEAR built-in
Hi John,
Would you mind sharing the query plan for this query (by running "EXPLAIN
")?
Thanks,
Maryann
On Thu, Aug 25, 2016 at 11:19 AM, John Leach wrote:
> Yeah, this query.
>
> QUERY:
> SELECT SUM(L_EXTENDEDPRICE) / 7.0 AS AVG_YEARLY
> FROM
> TPCH.LINEITEM,
> TPCH.PART
James Taylor created PHOENIX-3209:
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Summary: Ensure scans run at latest server timestamp for UPSERT
SELECT to same table
Key: PHOENIX-3209
URL: https://issues.apache.org/jira/browse/PHOENIX-3209
Yeah, this query.
QUERY:
SELECT SUM(L_EXTENDEDPRICE) / 7.0 AS AVG_YEARLY
FROM
TPCH.LINEITEM,
TPCH.PART
WHERE
P_PARTKEY = L_PARTKEY
AND P_BRAND = 'BRAND#23'
AND P_CONTAINER = 'MED BOX'
AND L_QUANTITY < (
SELECT 0.2 * AVG(L_QUANTITY)
FROM
TPCH.LINEITEM
WHERE
L_PARTKEY =
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James Taylor commented on PHOENIX-3201:
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Thanks for the pull - FYI, you'll need to attach
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prakul agarwal commented on PHOENIX-3201:
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Raising a pull request on github (as git
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ASF GitHub Bot commented on PHOENIX-3201:
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GitHub user prakul opened a pull request:
GitHub user prakul opened a pull request:
https://github.com/apache/phoenix/pull/197
PHOENIX-3201 Implement DAYOFWEEK and DAYOFYEAR built-in functions
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/prakul/phoenix phoe-3201
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Hadoop QA commented on PHOENIX-3201:
{color:red}-1 overall{color}. Here are the results of testing
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Hadoop QA commented on PHOENIX-3208:
{color:red}-1 overall{color}. Here are the results of testing
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prakul agarwal updated PHOENIX-3201:
Attachment: PHOENIX-3201.patch
> Implement DAYOFWEEK and DAYOFYEAR built-in functions
>
Hi Phoenix developers/users ,
We are trying to use the phoenix tracing server in our environment but we are
facing issue while accessing the web application. We get
HTTP ERROR 404
Problem accessing /webapp/. Reason:
Not Found
While accessing
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chenglei updated PHOENIX-3208:
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Attachment: PHOENIX-3208.patch
> MutationState.toMutations method would throw a exception if multiple
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chenglei updated PHOENIX-3208:
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Description:
MutationState.toMutations method is to return the current uncommitted
table's
chenglei created PHOENIX-3208:
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Summary: MutationState.toMutations method would throw a exception
if multiple tables are upserted
Key: PHOENIX-3208
URL: https://issues.apache.org/jira/browse/PHOENIX-3208
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James Taylor commented on PHOENIX-1751:
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Filed HBASE-16503 with a simple test that reproduces the
Can anyone explain why the client would be burning so much CPU and memory if
the result is a single row?
I suspect we configured something wrong on Phoenix but we are having a hard
time figuring it out.
Thanks in advance.
Regards,
John
> On Aug 24, 2016, at 9:54 AM, Aaron Molitor
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Xiaopeng Liao commented on PHOENIX-2648:
Initially the ":" is used to indicate the dynamic
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ASF GitHub Bot commented on PHOENIX-2648:
-
GitHub user xiaopeng-liao opened a pull request:
GitHub user xiaopeng-liao opened a pull request:
https://github.com/apache/phoenix/pull/196
[PHOENIX-2648] Add dynamic column support for spark integration
It supports both RDD and Dataframe read /write,
Things needed consideration
==
When loading from Dataframe,
According to the responses received so far on our version usage survey, HBase
1.1 is the most popular, followed by 1.2, then 0.98.
> On Aug 25, 2016, at 12:43 AM, James Taylor wrote:
>
> I propose we only continue releases for HBase 0.98 and 1.2, both for 4.8
> patch
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Andrew Purtell commented on PHOENIX-1751:
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A delay longer than RPC timeout causes the issue and
James Taylor created PHOENIX-3207:
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Summary: Fix compilation failure on 4.8-HBase-1.2 branch after
PHOENIX-3148
Key: PHOENIX-3207
URL: https://issues.apache.org/jira/browse/PHOENIX-3207
Project:
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James Taylor commented on PHOENIX-1751:
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It appears that in 0.98, a delay > rpcTimeout in the
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