[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-11 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16718457#comment-16718457
 ] 

ASF GitHub Bot commented on FLINK-11010:


walterddr commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446457485
 
 
   > @walterddr could you please check the timezone problem when dealing with 
eventtime?
   > it seems that lamber-ken's commit only fixed proc time.
   > Would you please refer to my previous comment to take a look at my 
eventtime usecase. thanks a lot!
   > --update
   > i found the correct timestamp was changed in OutputRowtimeProcessFunction, 
using SqlFunctions.internalToTimestamp(), i'm not sure whether its redundant or 
not.
   > please fix this problem. thx
   
   FLINK-11010 only reports bugs for utilizing `currentProcessingTime()`. maybe 
we can mark the JIRA as duplicate of FLINK-8353 and focus on addressing the 
bigger overall timezone problem instead. what do you think?


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-11 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16718434#comment-16718434
 ] 

ASF GitHub Bot commented on FLINK-11010:


samsai edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446445016
 
 
   @walterddr could you please check the timezone problem when dealing with 
eventtime?  
   it seems that lamber-ken's commit only fixed proc time.  
   Would you please refer to my previous comment to take a look at my eventtime 
usecase. thanks a lot!
   --update
   i found the correct timestamp was changed in OutputRowtimeProcessFunction, 
using SqlFunctions.internalToTimestamp(), i'm not sure whether its redundant or 
not.  
   please fix this problem. thx
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-11 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16718417#comment-16718417
 ] 

ASF GitHub Bot commented on FLINK-11010:


samsai commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp is 
inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446445016
 
 
   @walterddr could you please check the timezone problem when dealing with 
eventtime?  
   it seems that lamber-ken's commit only fixed proc time.  
   Would you please refer to my previous comment to take a look at my eventtime 
usecase. thanks a lot!
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-11 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16717475#comment-16717475
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446264958
 
 
   @walterddr, as the 
[https://issues.apache.org/jira/browse/FLINK-8353](https://issues.apache.org/jira/browse/FLINK-8353)
 desc. 
   - need to modify each function which works with sql proctiome.
   - it's not user-friendly, because user need to use udf function to convert 
proctime.
   - flink sql shoud consistent with flink-jar program which user do not need 
to care the default timezone.
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-11 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16717473#comment-16717473
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446264958
 
 
   @walterddr, as the 
[https://issues.apache.org/jira/browse/FLINK-8353](https://issues.apache.org/jira/browse/FLINK-8353)
 desc. 
   first, need to modify each function which works with sql proctiome.
   second, it's not user-friendly, because user need to use udf function to 
convert proctime
   third, flink sql shoud consistent with flink-jar program which user do not 
need to care the default timezone
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-10 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16716320#comment-16716320
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on a change in pull request #7180: [FLINK-11010] [TABLE] 
Flink SQL timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#discussion_r240484482
 
 

 ##
 File path: 
flink-libraries/flink-table/src/test/java/org/apache/flink/table/runtime/stream/sql/JavaSqlITCase.java
 ##
 @@ -164,4 +167,35 @@ public void testUnion() throws Exception {
 
StreamITCase.compareWithList(expected);
}
+
+   @Test
+   public void testProctime() throws Exception {
+   StreamExecutionEnvironment env = 
StreamExecutionEnvironment.getExecutionEnvironment();
+   StreamTableEnvironment tableEnv = 
TableEnvironment.getTableEnvironment(env);
+
+   DataStream> ds = 
JavaStreamTestData.getSmall3TupleDataSet(env);
+   tableEnv.registerDataStream("MyTable", ds, "a, b, c, 
proctime.proctime");
+
+   String sqlQuery = "select proctime from MyTable";
+
+   Table result = tableEnv.sqlQuery(sqlQuery);
+
+   tableEnv
+   .toAppendStream(result, TypeInformation.of(Row.class))
+   .addSink(new SinkFunction() {
+   @Override
+   public void invoke(Row value, Context context) 
throws Exception {
+
+   Timestamp procTimestamp = (Timestamp) 
value.getField(0);
+
+   // validate the second here
+   long procSecondTime = 
procTimestamp.getTime() / 1000;
 
 Review comment:
   yeah, it's better to validate hour. I'll update.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-10 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16716164#comment-16716164
 ] 

ASF GitHub Bot commented on FLINK-11010:


walterddr commented on a change in pull request #7180: [FLINK-11010] [TABLE] 
Flink SQL timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#discussion_r240470904
 
 

 ##
 File path: 
flink-libraries/flink-table/src/test/java/org/apache/flink/table/runtime/stream/sql/JavaSqlITCase.java
 ##
 @@ -164,4 +167,35 @@ public void testUnion() throws Exception {
 
StreamITCase.compareWithList(expected);
}
+
+   @Test
+   public void testProctime() throws Exception {
+   StreamExecutionEnvironment env = 
StreamExecutionEnvironment.getExecutionEnvironment();
+   StreamTableEnvironment tableEnv = 
TableEnvironment.getTableEnvironment(env);
+
+   DataStream> ds = 
JavaStreamTestData.getSmall3TupleDataSet(env);
+   tableEnv.registerDataStream("MyTable", ds, "a, b, c, 
proctime.proctime");
+
+   String sqlQuery = "select proctime from MyTable";
+
+   Table result = tableEnv.sqlQuery(sqlQuery);
+
+   tableEnv
+   .toAppendStream(result, TypeInformation.of(Row.class))
+   .addSink(new SinkFunction() {
+   @Override
+   public void invoke(Row value, Context context) 
throws Exception {
+
+   Timestamp procTimestamp = (Timestamp) 
value.getField(0);
+
+   // validate the second here
+   long procSecondTime = 
procTimestamp.getTime() / 1000;
 
 Review comment:
   This causes me some trouble because cases can happen when they cross the 
second boundary. this is not a stable ITCase in my opinion.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2, 1.7.0, 1.8.0, 1.7.1
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-10 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16716020#comment-16716020
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446050898
 
 
   hi, @zentol cc


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-10 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16715949#comment-16715949
 ] 

ASF GitHub Bot commented on FLINK-11010:


samsai commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp is 
inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-446041717
 
 
   i got the same problem too:
   val format = new SimpleDateFormat("-MM-dd HH:mm:ssZ")
   val origin: DataStream[TransactionEvent] = env.fromCollection(List(
 TransactionEvent("u1", format.parse("2018-01-02 01:13:30+0800"), 10)
   ))
   val source2 = origin
 .assignTimestampsAndWatermarks(new 
BoundedOutOfOrdernessTimestampExtractor[TransactionEvent](Time.minutes(1)){
   override def extractTimestamp(element: TransactionEvent): Long = {
 val timestamp = element.time.getTime
 println(s"extractTimestamp:$timestamp")
 timestamp
   }
 })
   tEnv.fromDataStream(source2, 'user,'eventTime.rowtime)
 .toAppendStream[Row].print()
   
   I got eventTime as 2018-01-01 17:13:30.0, which is 8hours delayed


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-10 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16714820#comment-16714820
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445698387
 
 
   hi, @twalthr, @dawidwys, cc or talk about it, thanks. :)


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-09 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16714322#comment-16714322
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445698387
 
 
   hi, @twalthr, please cc or we should talk about it.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-09 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16714281#comment-16714281
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445667532
 
 
   In the Flink
   to get process time  ,the result is OK
   then , In the Flink,the result is transfromed several times
   for example , Long ->Timestamp ->Long->Timestamp 
   
   when Long ->Timestamp,use code as follows:**[In SqlFunctions]**
   public static java.sql.Time internalToTime(int v) {
   return new java.sql.Time(v - LOCAL_TZ.getOffset(v));
   }
   
   when Timestamp->Long,use code as follows:**[In SqlFunctions]**
 // mainly intended for java.sql.Timestamp but works for other dates also
 public static long toLong(java.util.Date v, TimeZone timeZone) {
   final long time = v.getTime();
   return time + timeZone.getOffset(time);
 }
   
   
   In the final write step,use code as follows:
   protected long _timestamp(Date value) { 
   return value == null ? 0L : **value.getTime()**;
}
   the position is 
:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
   
   now ,let me think, we use two different class to handle the transformation 
between Long and Timestamp,
   and the first class SqlFunctions imports TimeZone factor,
   but the second class ,TimeZone factor not imported
   
   It is not consitent when handling time transformation!
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-09 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16714282#comment-16714282
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445667532
 
 
   In the Flink
   to get process time  ,the result is OK
   then , In the Flink,the result is transfromed several times
   for example , Long ->Timestamp ->Long->Timestamp 
   
   when Long ->Timestamp,use code as follows:**[In SqlFunctions]**
   public static java.sql.Time internalToTime(int v) {
   return new java.sql.Time(v - LOCAL_TZ.getOffset(v));
   }
   
   when Timestamp->Long,use code as follows:**[In SqlFunctions]**
 // mainly intended for java.sql.Timestamp but works for other dates also
 public static long toLong(java.util.Date v, TimeZone timeZone) {
   final long time = v.getTime();
   return time + timeZone.getOffset(time);
 }
   
   
   In the final write step,
   Timestamp to Long
   use code as follows:
   protected long _timestamp(Date value) { 
   return value == null ? 0L : **value.getTime()**;
}
   the position is 
:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
   
   now ,let me think, we use two different class to handle the transformation 
between Long and Timestamp,
   and the first class SqlFunctions imports TimeZone factor,
   but the second class ,TimeZone factor not imported
   
   It is not consitent when handling time transformation!
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-09 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16714280#comment-16714280
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445667532
 
 
   In the Flink
   to get process time  ,the result is OK
   then , In the Flink,the result is transfromed several times
   for example , Long ->Timestamp ->Long->Timestamp 
   
   when Long ->Timestamp,use code as follows:**[In SqlFunctions]**
   public static java.sql.Time internalToTime(int v) {
   return new java.sql.Time(v - LOCAL_TZ.getOffset(v));
   }
   
   when Timestamp->Long,use code as follows:**[In SqlFunctions]**
 // mainly intended for java.sql.Timestamp but works for other dates also
 public static long toLong(java.util.Date v, TimeZone timeZone) {
   final long time = v.getTime();
   return time + timeZone.getOffset(time);
 }
   
   
   In the final write step,use code as follows:
   protected long _timestamp(Date value) { 
   return value == null ? 0L : **value.getTime()**;
}
   the position is 
:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
   
   now ,letme think, we use two different class to handle the transformation 
between Long and Timestamp,
   and the first class SqlFunctions imports TimeZone factor,
   but the second class ,TimeZone factor not imported
   
   It is not consitent when handling time transformation!
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-06 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16712292#comment-16712292
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445109507
 
 
   @walterddr, you are welcome.
   flink sql use `CodeGenerator#generateProctimeTimestamp` method to process 
`proctime` and its type is `Timestamp`, flink use calcite to convert long to 
Timestamp
   
   but calcite implementation of the method as below, 
`SqlFunctions#internalToTime`
   ```
   public static java.sql.Time internalToTime(int v) {
   return new java.sql.Time(v - LOCAL_TZ.getOffset(v));
   }
   ```
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-06 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16712272#comment-16712272
 ] 

ASF GitHub Bot commented on FLINK-11010:


walterddr commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445103065
 
 
   Hi @lamber-ken sorry for the late response. I am a bit confuse with the JIRA 
ticket description and the PR comments. 
   
   I am under the impression that the goal should make all internal times 
GMT-based regardless of where the code runs. Thus `currentProcessingTime()` 
should return a GMT-based time. if my understanding is correct, shouldn't the 
fix be in the "timerService" side instead?


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-06 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16712232#comment-16712232
 ] 

ASF GitHub Bot commented on FLINK-11010:


Jennifer-sarah commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-445092699
 
 
   +1, from my side. I had the [same 
problem](http://mail-archives.apache.org/mod_mbox/flink-user/201711.mbox/%3c351fd9ab-7a28-4ce0-bd9c-c2a15e537...@163.com%3E).
 thanks 


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16711073#comment-16711073
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444762927
 
 
   let me show how to generate the wrong result
   
   ---
   **background**: processing time in tumbling window  flink:1.5.0
   
   the invoke stack is as follows:
 [1] org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
 [2] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:53)
 [3] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateWindowFunction.apply
 (IncrementalAggregateWindowFunction.scala:74)
 [4] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:72)
 [5] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:39)
 [6] 
org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction.process
 (InternalSingleValueWindowFunction.java:46)
 [7] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.emitWindowContents
 (WindowOperator.java:550)
 [8] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.onProcessingTime
 (WindowOperator.java:505)
 [9] 
org.apache.flink.streaming.api.operators.HeapInternalTimerService.onProcessingTime
 (HeapInternalTimerService.java:266)
 [10] 
org.apache.flink.streaming.runtime.tasks.SystemProcessingTimeService$TriggerTask.run
 (SystemProcessingTimeService.java:281)
 [11] java.util.concurrent.Executors$RunnableAdapter.call 
(Executors.java:511)
 [12] java.util.concurrent.FutureTask.run (FutureTask.java:266)
 [13] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201 
(ScheduledThreadPoolExecutor.java:180)
 [14] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run 
(ScheduledThreadPoolExecutor.java:293)
 [15] java.util.concurrent.ThreadPoolExecutor.runWorker 
(ThreadPoolExecutor.java:1,142)
 [16] java.util.concurrent.ThreadPoolExecutor$Worker.run 
(ThreadPoolExecutor.java:617)
 [17] java.lang.Thread.run (Thread.java:748)
   
   now ,we are at [1] 
org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
   
   and the code is as follows:
   `  public static Timestamp internalToTimestamp(long v)
 {
   return new Timestamp(v - LOCAL_TZ.getOffset(v));
 }
   `
   let us print the value of windowStart:v 
   print v
v = 154407483
   let us print the value of windowEnd:v 
   print v
v = 1544074833000
   
   
   
   
   
   after this, come back to 
   [1] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:51)
   
   
   then,we will execute 
   `   
if (windowStartOffset.isDefined) {
 output.setField(
   lastFieldPos + windowStartOffset.get,
   SqlFunctions.internalToTimestamp(windowStart))
   }
   
   if (windowEndOffset.isDefined) {
 output.setField(
   lastFieldPos + windowEndOffset.get,
   SqlFunctions.internalToTimestamp(windowEnd))
   }
   `
   
   before execute,the output is 
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,null,null,null"
   after execute,the output is
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,2018-12-06 
05:40:30.0,2018-12-06 05:40:33.0,null"
   
   so,do you think the 
   long value 154407483  translated to be 2018-12-06 05:40:30.0
   long value 1544074833000  translated to be 2018-12-06 05:40:33.0
would be right?
   
   I am in China, I think the timestamp should be 2018-12-06 13:40:30.0 and 
2018-12-06 13:40:33.0
   
   
   
   okay,let us continue
   
   now ,the data will be written to kafka,before write ,the data will be 
serialized
   let us see what happened!
   
   the call stack is as follows:
   [1] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
 [2] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:48)
 [3] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:15)
 [4] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue
 (DefaultSerializerProvider.java:130)
 [5] 

[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16711071#comment-16711071
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444762927
 
 
   let me show how to generate the wrong result
   
   ---
   **background**: processing time in tumbling window  flink:1.5.0
   
   the invoke stack is as follows:
 [1] org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
 [2] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:53)
 [3] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateWindowFunction.apply
 (IncrementalAggregateWindowFunction.scala:74)
 [4] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:72)
 [5] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:39)
 [6] 
org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction.process
 (InternalSingleValueWindowFunction.java:46)
 [7] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.emitWindowContents
 (WindowOperator.java:550)
 [8] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.onProcessingTime
 (WindowOperator.java:505)
 [9] 
org.apache.flink.streaming.api.operators.HeapInternalTimerService.onProcessingTime
 (HeapInternalTimerService.java:266)
 [10] 
org.apache.flink.streaming.runtime.tasks.SystemProcessingTimeService$TriggerTask.run
 (SystemProcessingTimeService.java:281)
 [11] java.util.concurrent.Executors$RunnableAdapter.call 
(Executors.java:511)
 [12] java.util.concurrent.FutureTask.run (FutureTask.java:266)
 [13] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201 
(ScheduledThreadPoolExecutor.java:180)
 [14] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run 
(ScheduledThreadPoolExecutor.java:293)
 [15] java.util.concurrent.ThreadPoolExecutor.runWorker 
(ThreadPoolExecutor.java:1,142)
 [16] java.util.concurrent.ThreadPoolExecutor$Worker.run 
(ThreadPoolExecutor.java:617)
 [17] java.lang.Thread.run (Thread.java:748)
   
   now ,we are at [1] 
org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
   
   and the code is as follows:
   `  public static Timestamp internalToTimestamp(long v)
 {
   return new Timestamp(v - LOCAL_TZ.getOffset(v));
 }
   `
   let us print the value of windowStart:v 
   print v
v = 154407483
   let us print the value of windowEnd:v 
   print v
v = 1544074833000
   
   
   
   
   
   after this, come back to 
   [1] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:51)
   
   
   then,we will execute 
   `   
if (windowStartOffset.isDefined) {
 output.setField(
   lastFieldPos + windowStartOffset.get,
   SqlFunctions.internalToTimestamp(windowStart))
   }
   
   if (windowEndOffset.isDefined) {
 output.setField(
   lastFieldPos + windowEndOffset.get,
   SqlFunctions.internalToTimestamp(windowEnd))
   }
   `
   
   before execute,the output is 
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,null,null,null"
   after execute,the output is
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,2018-12-06 
05:40:30.0,2018-12-06 05:40:33.0,null"
   
   so,do you think the 
   long value 154407483  translated to be 2018-12-06 05:40:30.0
   long value 1544074833000  translated to be 2018-12-06 05:40:33.0
would be right?
   
   I am in China, I think the timestamp should be 2018-12-06 13:40:30.0 and 
2018-12-06 13:40:33.0
   
   
   
   okay,let us continue
   
   now ,the data will be written to kafka,before write ,the data will be 
serialized
   let us see what happened!
   
   the call stack is as follows:
   ` [1] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
 [2] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:48)
 [3] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:15)
 [4] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue
 (DefaultSerializerProvider.java:130)
 [5] 

[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16711063#comment-16711063
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444773602
 
 
   @lzqdename, thanks for your detail description.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16711033#comment-16711033
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444762927
 
 
   let me show how to generate the wrong result
   
   ---
   **background**: processing time in tumbling window  flink:1.5.0
   
   the invoke stack is as follows:
 [1] org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
 [2] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:53)
 [3] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateWindowFunction.apply
 (IncrementalAggregateWindowFunction.scala:74)
 [4] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:72)
 [5] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:39)
 [6] 
org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction.process
 (InternalSingleValueWindowFunction.java:46)
 [7] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.emitWindowContents
 (WindowOperator.java:550)
 [8] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.onProcessingTime
 (WindowOperator.java:505)
 [9] 
org.apache.flink.streaming.api.operators.HeapInternalTimerService.onProcessingTime
 (HeapInternalTimerService.java:266)
 [10] 
org.apache.flink.streaming.runtime.tasks.SystemProcessingTimeService$TriggerTask.run
 (SystemProcessingTimeService.java:281)
 [11] java.util.concurrent.Executors$RunnableAdapter.call 
(Executors.java:511)
 [12] java.util.concurrent.FutureTask.run (FutureTask.java:266)
 [13] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201 
(ScheduledThreadPoolExecutor.java:180)
 [14] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run 
(ScheduledThreadPoolExecutor.java:293)
 [15] java.util.concurrent.ThreadPoolExecutor.runWorker 
(ThreadPoolExecutor.java:1,142)
 [16] java.util.concurrent.ThreadPoolExecutor$Worker.run 
(ThreadPoolExecutor.java:617)
 [17] java.lang.Thread.run (Thread.java:748)
   
   now ,we are at [1] 
org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
   
   and the code is as follows:
   `  public static Timestamp internalToTimestamp(long v)
 {
   return new Timestamp(v - LOCAL_TZ.getOffset(v));
 }
   `
   let us print the value of windowStart:v 
   print v
v = 154407483
   let us print the value of windowEnd:v 
   print v
v = 1544074833000
   
   
   
   
   
   after this, come back to 
   [1] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:51)
   
   
   then,we will execute 
   `if (windowStartOffset.isDefined) {
 output.setField(
   lastFieldPos + windowStartOffset.get,
   SqlFunctions.internalToTimestamp(windowStart))
   }
   if (windowEndOffset.isDefined) {
 output.setField(
   lastFieldPos + windowEndOffset.get,
   SqlFunctions.internalToTimestamp(windowEnd))
   }
   `
   
   before execute,the output is 
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,null,null,null"
   after execute,the output is
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,2018-12-06 
05:40:30.0,2018-12-06 05:40:33.0,null"
   
   so,do you think the 
   long value 154407483  translated to be 2018-12-06 05:40:30.0
   long value 1544074833000  translated to be 2018-12-06 05:40:33.0
would be right?
   
   I am in China, I think the timestamp should be 2018-12-06 13:40:30.0 and 
2018-12-06 13:40:33.0
   
   
   
   okay,let us continue
   
   now ,the data will be write to kafka,before write ,the data will be 
serialized
   let us see what happened!
   
   the call stack is as follows:
   ` [1] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
 [2] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:48)
 [3] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:15)
 [4] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue
 (DefaultSerializerProvider.java:130)
 [5] 

[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16711035#comment-16711035
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444762927
 
 
   let me show how to generate the wrong result
   
   ---
   **background**: processing time in tumbling window  flink:1.5.0
   
   the invoke stack is as follows:
 [1] org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
 [2] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:53)
 [3] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateWindowFunction.apply
 (IncrementalAggregateWindowFunction.scala:74)
 [4] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:72)
 [5] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:39)
 [6] 
org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction.process
 (InternalSingleValueWindowFunction.java:46)
 [7] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.emitWindowContents
 (WindowOperator.java:550)
 [8] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.onProcessingTime
 (WindowOperator.java:505)
 [9] 
org.apache.flink.streaming.api.operators.HeapInternalTimerService.onProcessingTime
 (HeapInternalTimerService.java:266)
 [10] 
org.apache.flink.streaming.runtime.tasks.SystemProcessingTimeService$TriggerTask.run
 (SystemProcessingTimeService.java:281)
 [11] java.util.concurrent.Executors$RunnableAdapter.call 
(Executors.java:511)
 [12] java.util.concurrent.FutureTask.run (FutureTask.java:266)
 [13] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201 
(ScheduledThreadPoolExecutor.java:180)
 [14] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run 
(ScheduledThreadPoolExecutor.java:293)
 [15] java.util.concurrent.ThreadPoolExecutor.runWorker 
(ThreadPoolExecutor.java:1,142)
 [16] java.util.concurrent.ThreadPoolExecutor$Worker.run 
(ThreadPoolExecutor.java:617)
 [17] java.lang.Thread.run (Thread.java:748)
   
   now ,we are at [1] 
org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
   
   and the code is as follows:
   `  public static Timestamp internalToTimestamp(long v)
 {
   return new Timestamp(v - LOCAL_TZ.getOffset(v));
 }
   `
   let us print the value of windowStart:v 
   print v
v = 154407483
   let us print the value of windowEnd:v 
   print v
v = 1544074833000
   
   
   
   
   
   after this, come back to 
   [1] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:51)
   
   
   then,we will execute 
   `   
if (windowStartOffset.isDefined) {
 output.setField(
   lastFieldPos + windowStartOffset.get,
   SqlFunctions.internalToTimestamp(windowStart))
   }
   
   if (windowEndOffset.isDefined) {
 output.setField(
   lastFieldPos + windowEndOffset.get,
   SqlFunctions.internalToTimestamp(windowEnd))
   }
   `
   
   before execute,the output is 
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,null,null,null"
   after execute,the output is
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,2018-12-06 
05:40:30.0,2018-12-06 05:40:33.0,null"
   
   so,do you think the 
   long value 154407483  translated to be 2018-12-06 05:40:30.0
   long value 1544074833000  translated to be 2018-12-06 05:40:33.0
would be right?
   
   I am in China, I think the timestamp should be 2018-12-06 13:40:30.0 and 
2018-12-06 13:40:33.0
   
   
   
   okay,let us continue
   
   now ,the data will be write to kafka,before write ,the data will be 
serialized
   let us see what happened!
   
   the call stack is as follows:
   ` [1] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
 [2] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:48)
 [3] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:15)
 [4] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue
 (DefaultSerializerProvider.java:130)
 [5] 

[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16711023#comment-16711023
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444762927
 
 
   let me show how to generate the wrong result
   
   ---
   **background**: processing time in tumbling window  flink:1.5.0
   
   the invoke stack is as follows:
 [1] org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
 [2] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:53)
 [3] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateWindowFunction.apply
 (IncrementalAggregateWindowFunction.scala:74)
 [4] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:72)
 [5] 
org.apache.flink.table.runtime.aggregate.IncrementalAggregateTimeWindowFunction.apply
 (IncrementalAggregateTimeWindowFunction.scala:39)
 [6] 
org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction.process
 (InternalSingleValueWindowFunction.java:46)
 [7] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.emitWindowContents
 (WindowOperator.java:550)
 [8] 
org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.onProcessingTime
 (WindowOperator.java:505)
 [9] 
org.apache.flink.streaming.api.operators.HeapInternalTimerService.onProcessingTime
 (HeapInternalTimerService.java:266)
 [10] 
org.apache.flink.streaming.runtime.tasks.SystemProcessingTimeService$TriggerTask.run
 (SystemProcessingTimeService.java:281)
 [11] java.util.concurrent.Executors$RunnableAdapter.call 
(Executors.java:511)
 [12] java.util.concurrent.FutureTask.run (FutureTask.java:266)
 [13] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201 
(ScheduledThreadPoolExecutor.java:180)
 [14] 
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run 
(ScheduledThreadPoolExecutor.java:293)
 [15] java.util.concurrent.ThreadPoolExecutor.runWorker 
(ThreadPoolExecutor.java:1,142)
 [16] java.util.concurrent.ThreadPoolExecutor$Worker.run 
(ThreadPoolExecutor.java:617)
 [17] java.lang.Thread.run (Thread.java:748)
   
   now ,we are at [1] 
org.apache.calcite.runtime.SqlFunctions.internalToTimestamp 
(SqlFunctions.java:1,747)
   
   and the code is as follows:
   `  public static Timestamp internalToTimestamp(long v)
 {
   return new Timestamp(v - LOCAL_TZ.getOffset(v));
 }
   `
   let us print the value of windowStart:v 
   print v
v = 154407483
   let us print the value of windowEnd:v 
   print v
v = 1544074833000
   
   
   
   
   
   after this, come back to 
   [1] 
org.apache.flink.table.runtime.aggregate.TimeWindowPropertyCollector.collect 
(TimeWindowPropertyCollector.scala:51)
   
   
   then,we will execute 
   `if (windowStartOffset.isDefined) {
 output.setField(
   lastFieldPos + windowStartOffset.get,
   SqlFunctions.internalToTimestamp(windowStart))
   }
   `
   
   before execute,the output is 
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,null,null,null"
   after execute,the output is
output = 
"pro0,throwable0,ERROR,ip0,1,ymm-appmetric-dev-self1_5_924367729,2018-12-06 
05:40:30.0,2018-12-06 05:40:33.0,null"
   
   so,do you think the 
   long value 154407483  translated to be 2018-12-06 05:40:30.0
   long value 1544074833000  translated to be 2018-12-06 05:40:33.0
would be right?
   
   I am in China, I think the timestamp should be 2018-12-06 13:40:30.0 and 
2018-12-06 13:40:33.0
   
   
   
   okay,let us continue
   
   now ,the data will be write to kafka,before write ,the data will be 
serialized
   let us see what happened!
   
   the call stack is as follows:
   ` [1] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer._timestamp
 (DateSerializer.java:41)
 [2] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:48)
 [3] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.std.DateSerializer.serialize
 (DateSerializer.java:15)
 [4] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue
 (DefaultSerializerProvider.java:130)
 [5] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ObjectMapper.writeValue
 (ObjectMapper.java:2,444)
 [6] 
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ObjectMapper.valueToTree
 (ObjectMapper.java:2,586)
 [7] 

[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16710996#comment-16710996
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename removed a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444723623
 
 
   In flink, I think it is better to avoid timezone in calculation ,because the 
input is always UTC


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-05 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16710899#comment-16710899
 ] 

ASF GitHub Bot commented on FLINK-11010:


lzqdename commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444723623
 
 
   In flink, I think it is better to avoid timezone in calculation ,because the 
input is always UTC


This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-04 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16709039#comment-16709039
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444193677
 
 
   hi, @tillrohrmann, the ci build failed, but I can't find something helpful 
for me from log, how to rebuild ?


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-04 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16709044#comment-16709044
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444193677
 
 
   hi, @tillrohrmann, the ci build failed, but I can't find something helpful 
for me from log, how to rebuild ?
   here is [ci log detail](https://travis-ci.org/apache/flink/jobs/463223773)


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-04 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16708438#comment-16708438
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444025862
 
 
   @walterddr , hi, I had add process time.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-04 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16708439#comment-16708439
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444025862
 
 
   @walterddr , hi, I had add sql proctime test.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-04 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16708440#comment-16708440
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-444025862
 
 
hi, @walterddr, I had add sql proctime test.


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-02 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16706400#comment-16706400
 ] 

ASF GitHub Bot commented on FLINK-11010:


walterddr edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-443522584
 
 
   Hi @lamber-ken . the minimum reproduction example should be a good starting 
point for adding test/ITCase to justify your change. I also commented on the 
JIRA ticket as well. 


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-02 Thread Rong Rong (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16706398#comment-16706398
 ] 

Rong Rong commented on FLINK-11010:
---

Based on the discussion in the mailing list: 
http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Question-about-Timestamp-in-Flink-SQL-td16928.html,
 I think Flink's internal time service using GMT as default would require a 
more sophisticated solution. 

Currently I think the best solution is to use DATE_FORMAT or other SQL 
timezone-based operation to convert proctime. and always treat proctime as GMT 
on queries like: {{select proctime from tbl}}.

I've also linked https://issues.apache.org/jira/browse/FLINK-8353 for the 
reference.

> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-02 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16706399#comment-16706399
 ] 

ASF GitHub Bot commented on FLINK-11010:


walterddr commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-443522584
 
 
   Hi @lamber-ken . the minimum reproduction result should be a good starting 
point for adding test/ITCase to justify your change. I also commented on the 
JIRA ticket as well. 


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-12-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16706058#comment-16706058
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-443472946
 
 
   Thanks for review @walterdd. Yes, Ok, I'm very glad to.
   
   read more about   [Calcite 
SqlFunctions#internalToTime](https://github.com/apache/calcite/blob/1d2929105f47b944c65529fe59b3072cce167116/core/src/main/java/org/apache/calcite/runtime/SqlFunctions.java#L1751).
   
and if I give it an event time with unix timestamp 0, then I got the 
Timestamp(-2880). I am confused why `internalToTimestamp` need to subtract 
the offset?
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-11-27 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700116#comment-16700116
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-441977232
 
 
   more discussion details, please read [Question about Timestamp in Flink SQL 
](http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Question-about-Timestamp-in-Flink-SQL-td16928.html)
   
   ## minimal reproducible example
   ```
   
   public static void main(String[] args) throws Exception {
   
 StreamExecutionEnvironment env = 
StreamExecutionEnvironment.getExecutionEnvironment();
 StreamTableEnvironment tableEnv = 
TableEnvironment.getTableEnvironment(env);
   
 DataStreamSource socket = env.socketTextStream("localhost", );
   
   
 tableEnv.registerDataStream("orders", socket, "user,proctime.proctime");
   
 Table result = tableEnv.sqlQuery("select proctime from orders");
 tableEnv
   .toRetractStream(result, TypeInformation.of(Row.class))
   .addSink(new SinkFunction>() {
   @Override
   public void invoke(Tuple2 value, Context context) 
throws Exception {
   
   String sysTime = new SimpleDateFormat("-MM-dd 
HH:mm:ss.SSS").format(new Date());
   String procTime = value.f1.toString();
   
   System.out.println("sysTime:  " + sysTime );
   System.out.println("procTime: " + procTime );
   
   System.out.println();
   
   }
   });
 env.execute();
   
   }
   
   ```
   
   ## result 
   ```
   sysTime:  2018-11-27 17:29:53.744
   procTime: 2018-11-27 09:29:53.744
   ```
   
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-11-27 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700094#comment-16700094
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-441977232
 
 
   more discussion details, please read [Question about Timestamp in Flink SQL 
](http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Question-about-Timestamp-in-Flink-SQL-td16928.html)
   
   ## minimal reproducible example
   ```
   
 public static void main(String[] args) throws Exception {
   
 StreamExecutionEnvironment env = 
StreamExecutionEnvironment.getExecutionEnvironment();
 StreamTableEnvironment tableEnv = 
TableEnvironment.getTableEnvironment(env);
   
 DataStreamSource socket = env.socketTextStream("localhost", 
);
 tableEnv.registerDataStream("orders", socket, 
"user,proctime.proctime");
   
 Table result = tableEnv.sqlQuery("select proctime from orders");
   
 tableEnv
 .toRetractStream(result, TypeInformation.of(Row.class))
 .print();
 env.execute();
   
 }
   
   ```
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-11-27 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700080#comment-16700080
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken commented on issue #7180: [FLINK-11010] [TABLE] Flink SQL timestamp 
is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-441977232
 
 
   more discussion details, please read [Question about Timestamp in Flink SQL 
](http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Question-about-Timestamp-in-Flink-SQL-td16928.html)


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-11-27 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700083#comment-16700083
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken edited a comment on issue #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180#issuecomment-441977232
 
 
   more discussion details, please read [Question about Timestamp in Flink SQL 
](http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Question-about-Timestamp-in-Flink-SQL-td16928.html)
   
   ## minimal reproducible example
   ```
   public static void main(String[] args) throws Exception {
   
   StreamExecutionEnvironment env = 
StreamExecutionEnvironment.getExecutionEnvironment();
   StreamTableEnvironment tableEnv = 
TableEnvironment.getTableEnvironment(env);
   
   DataStreamSource socket = env.socketTextStream("localhost", 
);
   tableEnv.registerDataStream("orders", socket, 
"user,proctime.proctime");
   
   Table result = tableEnv.sqlQuery("select proctime from orders");
   
   tableEnv
   .toRetractStream(result, TypeInformation.of(Row.class))
   .print();
   env.execute();
   
   }
   ```
   
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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[jira] [Commented] (FLINK-11010) Flink SQL timestamp is inconsistent with currentProcessingTime()

2018-11-27 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/FLINK-11010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700072#comment-16700072
 ] 

ASF GitHub Bot commented on FLINK-11010:


lamber-ken opened a new pull request #7180: [FLINK-11010] [TABLE] Flink SQL 
timestamp is inconsistent with currentProcessingTime()
URL: https://github.com/apache/flink/pull/7180
 
 
   ## What is the purpose of the change
   
   the ProcessingTime is just implemented by invoking 
System.currentTimeMillis() but the long value will be automatically wrapped to 
a Timestamp with the following statement:
   `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`
   
   
   ## Brief change log
   
 `org.apache.flink.table.codegen.CodeGenerator#generateProctimeTimestamp` 
  add Default TimeZone#offset
   
   
   ## Does this pull request potentially affect one of the following parts:
   
 - Dependencies (does it add or upgrade a dependency): (no)
 - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (no)
 - The serializers: (no)
 - The runtime per-record code paths (performance sensitive): (no)
 - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Yarn/Mesos, ZooKeeper: (no)
 - The S3 file system connector: (no)
   
   ## Documentation
   
 - Does this pull request introduce a new feature? (no)
 - If yes, how is the feature documented? (no)
   


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> Flink SQL timestamp is inconsistent with currentProcessingTime()
> 
>
> Key: FLINK-11010
> URL: https://issues.apache.org/jira/browse/FLINK-11010
> Project: Flink
>  Issue Type: Bug
>  Components: Table API  SQL
>Affects Versions: 1.6.2
>Reporter: lamber-ken
>Assignee: lamber-ken
>Priority: Major
>  Labels: pull-request-available
>
> Flink SQL timestamp is inconsistent with currentProcessingTime().
>  
> the ProcessingTime is just implemented by invoking System.currentTimeMillis() 
> but the long value will be automatically wrapped to a Timestamp with the 
> following statement: 
> `new java.sql.Timestamp(time - TimeZone.getDefault().getOffset(time));`



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