Hi everyone Thanks everyone for your input.
@Yun > I think you could add descriptions of how to align backfill time travel with querying the latest data. And I think you should also update the "Discussion thread" in the original FLIP. Thank you for the suggestion, I will update it in the document. > I have a question about getting the table schema from the catalog. I'm not sure whether the Catalog#getTable(tablePath, timestamp) will be called only once. I understand that in a query, the schema of the table is determined before execution. The schema used will be based on the latest schema within the TimeTravel period. In addition, due to current syntax limitations, we are unable to support the use of BETWEEN AND. @Jing > Would you like to update your thoughts described in your previous email about why SupportsTimeTravel has been rejected into the FLIP? Sure, I updated the doc. > Since we always directly add overload methods into Catalog according to new requirements, which makes the interface bloated Your concern is valid. If we need to support the long type version in the future, we may have to add another method "getTable(ObjectPath, long version)". However, I understand that "Catalog.getTable(tablePath).on(timeStamp)" may not meet the requirements. The timestamp is for Catalog's use, and Catalog obtains the corresponding schema based on this time. @liu @Regards I am very sorry for the unclear description in the document. I have updated relevant descriptions regarding why it needs to be implemented in Catalog. Travel not only requires obtaining data at the corresponding time point, but also requires the corresponding Schema at that time point @Shammon > Flink or connector such as iceberg/paimon can create sources from the `CatalogBaseTable` directly without the need to get the snapshot ID from `CatalogTable.getSnapshot()`. What do you think of it? You are right, we don't need the getSnapshot interface for PaimonCatalog or IcebergCatalog tables, but we may need it for temporary tables. Best, Feng On Tue, Jun 6, 2023 at 9:32 PM Feng Jin <jinfeng1...@gmail.com> wrote: > Sorry I replied to the wrong mail. Please ignore the last email. > > > Hi Leonard > > > 1. Unification SQL > > I agree that it is crucial for us to support both batch and streaming > processing. The current design allows for the support of both batch and > streaming processing. I'll update the FLIP later. > > > > 2.Semantics > > In my opinion, it would be feasible to perform the conversion based on the > current session time, regardless of whether it is TIMESTAMP or > TIMESTAMP_LTZ. > > However, this may indeed violate the restriction outlined in > FLINK-21978[1] as Benchao mentioned, and I am uncertain as to whether it > is reasonable. > > > > 3. Some external systems may use timestamp value to mark a version, > but others may use version number、file position、log offset. > > It is true that most systems support time-related operations, and I > believe that the current design is compatible with most systems. However, > if we want to support long data type, it may require Calcite to support the > VERSION AS OF syntax. I understand that this is something that we may need > to consider in the future. > > > Best, > Feng > > [1] https://issues.apache.org/jira/browse/FLINK-21978 > > On Tue, Jun 6, 2023 at 8:28 PM Leonard Xu <xbjt...@gmail.com> wrote: > >> Hi, Feng >> >> Thanks for driving this FLIP, very impressive feature that users want, >> I’ve some quick questions here. >> >> 1.Unification SQL: >> The snapshot concept exists both in Batch mode and Streaming >> mode, could we consider a unified proposal? I think users won’t another >> SQL syntax named >> Time travel for Streaming mode. >> >> 2.Semantics: >> Flink supports TIMESTAMP and TIMESTAMP_LTZ types, to get a long >> timestamp value (getTable(ObjectPath tablePath, long timestamp)) we need >> two information i.e. a TIMESTAMP value and current session timezone, how >> we deal the value with current proposed SQL syntax. >> >> 3. Is it enough using sinlge timestamp to track a snapshot(version) of >> external table? Some external systems may use timestamp value to mark a >> version, but others may use version number、file position、log offset. >> >> Best, >> Leonard >> >> >> >> > On Jun 5, 2023, at 3:28 PM, Yun Tang <myas...@live.com> wrote: >> > >> > Hi Feng, >> > >> > I think this FLIP would provide one important feature to unify the >> stream-SQL and batch-SQL when we backfill the historical data in batch mode. >> > >> > For the "Syntax" session, I think you could add descriptions of how to >> align backfill time travel with querying the latest data. And I think you >> should also update the "Discussion thread" in the original FLIP. >> > >> > Moreover, I have a question about getting the table schema from the >> catalog. I'm not sure whether the Catalog#getTable(tablePath, timestamp) >> will be called only once. If we have a backfill query between 2023-05-29 >> and 2023-06-04 in the past week, and the table schema changed on >> 2023-06-01, will the query below detect the schema changes during backfill >> the whole week? >> > >> > SELECT * FROM paimon_tb FOR SYSTEM_TIME AS OF TIMESTAMP BETWEEN >> '2023-05-29 00:00:00' AND '2023-06-05 00:00:00' >> > >> > Best >> > Yun Tang >> > >> > >> > ________________________________ >> > From: Shammon FY <zjur...@gmail.com> >> > Sent: Thursday, June 1, 2023 17:57 >> > To: dev@flink.apache.org <dev@flink.apache.org> >> > Subject: Re: [DISCUSS] FLIP-308: Support Time Travel In Batch Mode >> > >> > Hi Feng, >> > >> > I have one minor comment about the public interface `Optional<Long> >> > getSnapshot()` in the `CatalogTable`. >> > >> > As we can get tables from the new method `Catalog.getTable(ObjectPath >> > tablePath, long timestamp)`, I think the returned `CatalogBaseTable` >> will >> > have the information of timestamp. Flink or connector such as >> > iceberg/paimon can create sources from the `CatalogBaseTable` directly >> > without the need to get the snapshot ID from >> `CatalogTable.getSnapshot()`. >> > What do you think of it? >> > >> > Best, >> > Shammon FY >> > >> > >> > On Thu, Jun 1, 2023 at 7:22 AM Jing Ge <j...@ververica.com.invalid> >> wrote: >> > >> >> Hi Feng, >> >> >> >> Thanks for the proposal! Very interesting feature. Would you like to >> update >> >> your thoughts described in your previous email about why >> SupportsTimeTravel >> >> has been rejected into the FLIP? This will help readers understand the >> >> context (in the future). >> >> >> >> Since we always directly add overload methods into Catalog according >> to new >> >> requirements, which makes the interface bloated. Just out of curiosity, >> >> does it make sense to introduce some DSL design? Like >> >> Catalog.getTable(tablePath).on(timeStamp), >> >> Catalog.getTable(tablePath).current() for the most current version, and >> >> more room for further extension like timestamp range, etc. I haven't >> read >> >> all the source code yet and I'm not sure if it is possible. But a >> >> design like this will keep the Catalog API lean and the API/DSL will be >> >> self described and easier to use. >> >> >> >> Best regards, >> >> Jing >> >> >> >> >> >> On Wed, May 31, 2023 at 12:08 PM Krzysztof Chmielewski < >> >> krzysiek.chmielew...@gmail.com> wrote: >> >> >> >>> Ok after second though I'm retracting my previous statement about >> Catalog >> >>> changes you proposed. >> >>> I do see a benefit for Delta connector actually with this change and >> see >> >>> why this could be coupled with Catalog. >> >>> >> >>> Delta Connector SQL support, also ships a Delta Catalog implementation >> >> for >> >>> Flink. >> >>> For Delta Catalog, table schema information is fetched from underlying >> >>> _delta_log and not stored in metastore. For time travel we actually >> had a >> >>> problem, that if we would like to timetravel back to some old version, >> >>> where schema was slightly different, then we would have a conflict >> since >> >>> Catalog would return current schema and not how it was for version X. >> >>> >> >>> With your change, our Delta Catalog can actually fetch schema for >> >> version X >> >>> and send it to DeltaTableFactory. Currency, Catalog can fetch only >> >> current >> >>> version. What we would also need however is version (number/timestamp) >> >> for >> >>> this table passed to DynamicTableFactory so we could properly set >> Delta >> >>> standalone library. >> >>> >> >>> Regards, >> >>> Krzysztof >> >>> >> >>> śr., 31 maj 2023 o 10:37 Krzysztof Chmielewski < >> >>> krzysiek.chmielew...@gmail.com> napisał(a): >> >>> >> >>>> Hi, >> >>>> happy to see such a feature. >> >>>> Small note from my end regarding Catalog changes. >> >>>> >> >>>> TL;DR >> >>>> I don't think it is necessary to delegate this feature to the >> catalog. >> >> I >> >>>> think that since "timetravel" is per job/query property, its should >> not >> >>> be >> >>>> coupled with the Catalog or table definition. In my opinion this is >> >>>> something that DynamicTableFactory only has to know about. I would >> >> rather >> >>>> see this feature as it is - SQL syntax enhancement but delegate >> clearly >> >>> to >> >>>> DynamicTableFactory. >> >>>> >> >>>> I've implemented timetravel feature for Delta Connector [1] using >> >>>> current Flink API. >> >>>> Docs are pending code review, but you can find them here [2] and >> >> examples >> >>>> are available here [3] >> >>>> >> >>>> The timetravel feature that I've implemented is based on Flink Query >> >>>> hints. >> >>>> "SELECT * FROM sourceTable /*+ OPTIONS('versionAsOf' = '1') */" >> >>>> >> >>>> The " versionAsOf" (we also have 'timestampAsOf') parameter is >> handled >> >>> not >> >>>> by Catalog but by DyntamicTableFactory implementation for Delta >> >>> connector. >> >>>> The value of this property is passed to Delta standalone lib API that >> >>>> returns table view for given version. >> >>>> >> >>>> I'm not sure how/if proposed change could benefit Delta connector >> >>>> implementation for this feature. >> >>>> >> >>>> Thanks, >> >>>> Krzysztof >> >>>> >> >>>> [1] >> >>>> >> >>> >> >> >> https://github.com/delta-io/connectors/tree/flink_table_catalog_feature_branch/flink >> >>>> [2] >> https://github.com/kristoffSC/connectors/tree/FlinkSQL_PR_15-docs >> >>>> [3] >> >>>> >> >>> >> >> >> https://github.com/delta-io/connectors/tree/flink_table_catalog_feature_branch/examples/flink-example/src/main/java/org/example/sql >> >>>> >> >>>> śr., 31 maj 2023 o 06:03 liu ron <ron9....@gmail.com> napisał(a): >> >>>> >> >>>>> Hi, Feng >> >>>>> >> >>>>> Thanks for driving this FLIP, Time travel is very useful for Flink >> >>>>> integrate with data lake system. I have one question why the >> >>>>> implementation >> >>>>> of TimeTravel is delegated to Catalog? Assuming that we use Flink to >> >>> query >> >>>>> Hudi table with the time travel syntax, but we don't use the >> >>> HudiCatalog, >> >>>>> instead, we register the hudi table to InMemoryCatalog, can we >> >> support >> >>>>> time travel for Hudi table in this case? >> >>>>> In contrast, I think time travel should bind to connector instead of >> >>>>> Catalog, so the rejected alternative should be considered. >> >>>>> >> >>>>> Best, >> >>>>> Ron >> >>>>> >> >>>>> yuxia <luoyu...@alumni.sjtu.edu.cn> 于2023年5月30日周二 09:40写道: >> >>>>> >> >>>>>> Hi, Feng. >> >>>>>> Notice this FLIP only support batch mode for time travel. Would it >> >>> also >> >>>>>> make sense to support stream mode to a read a snapshot of the table >> >>> as a >> >>>>>> bounded stream? >> >>>>>> >> >>>>>> Best regards, >> >>>>>> Yuxia >> >>>>>> >> >>>>>> ----- 原始邮件 ----- >> >>>>>> 发件人: "Benchao Li" <libenc...@apache.org> >> >>>>>> 收件人: "dev" <dev@flink.apache.org> >> >>>>>> 发送时间: 星期一, 2023年 5 月 29日 下午 6:04:53 >> >>>>>> 主题: Re: [DISCUSS] FLIP-308: Support Time Travel In Batch Mode >> >>>>>> >> >>>>>> # Can Calcite support this syntax ` VERSION AS OF` ? >> >>>>>> >> >>>>>> This also depends on whether this is defined in standard or any >> >> known >> >>>>>> databases that have implemented this. If not, it would be hard to >> >> push >> >>>>> it >> >>>>>> to Calcite. >> >>>>>> >> >>>>>> # getTable(ObjectPath object, long timestamp) >> >>>>>> >> >>>>>> Then we again come to the problem of "casting between timestamp and >> >>>>>> numeric", which has been disabled in FLINK-21978[1]. If you're >> gonna >> >>> use >> >>>>>> this, then we need to clarify that problem first. >> >>>>>> >> >>>>>> [1] https://issues.apache.org/jira/browse/FLINK-21978 >> >>>>>> >> >>>>>> >> >>>>>> Feng Jin <jinfeng1...@gmail.com> 于2023年5月29日周一 15:57写道: >> >>>>>> >> >>>>>>> hi, thanks for your reply. >> >>>>>>> >> >>>>>>> @Benchao >> >>>>>>>> did you consider the pushdown abilities compatible >> >>>>>>> >> >>>>>>> In the current design, the implementation of TimeTravel is >> >> delegated >> >>>>> to >> >>>>>>> Catalog. We have added a function called getTable(ObjectPath >> >>>>> tablePath, >> >>>>>>> long timestamp) to obtain the corresponding CatalogBaseTable at a >> >>>>>> specific >> >>>>>>> time. Therefore, I think it will not have any impact on the >> >>> original >> >>>>>>> pushdown abilities. >> >>>>>>> >> >>>>>>> >> >>>>>>>> I see there is a rejected design for adding >> >> SupportsTimeTravel, >> >>>>> but >> >>>>>> I >> >>>>>>> didn't see the alternative in the FLIP doc >> >>>>>>> >> >>>>>>> Sorry, the document description is not very clear. Regarding >> >>> whether >> >>>>> to >> >>>>>>> support SupportTimeTravel, I have discussed it with yuxia. Since >> >> we >> >>>>> have >> >>>>>>> already passed the corresponding time in getTable(ObjectPath, long >> >>>>>>> timestamp) of Catalog, SupportTimeTravel may not be necessary. >> >>>>>>> >> >>>>>>> In getTable(ObjectPath object, long timestamp), we can obtain the >> >>>>> schema >> >>>>>> of >> >>>>>>> the corresponding time point and put the SNAPSHOT that needs to be >> >>>>>> consumed >> >>>>>>> into options. >> >>>>>>> >> >>>>>>> >> >>>>>>> @Shammon >> >>>>>>>> Could we support this in Flink too? >> >>>>>>> >> >>>>>>> I personally think it's possible, but limited by Calcite's syntax >> >>>>>>> restrictions. I believe we should first support this syntax in >> >>>>> Calcite. >> >>>>>>> Currently, I think it may not be easy to support this syntax in >> >>>>> Flink's >> >>>>>>> parser. @Benchao, what do you think? Can Calcite support this >> >> syntax >> >>>>>>> ` VERSION AS OF` ? >> >>>>>>> >> >>>>>>> >> >>>>>>> Best, >> >>>>>>> Feng. >> >>>>>>> >> >>>>>>> >> >>>>>>> On Fri, May 26, 2023 at 2:55 PM Shammon FY <zjur...@gmail.com> >> >>> wrote: >> >>>>>>> >> >>>>>>>> Thanks Feng, the feature of time travel sounds great! >> >>>>>>>> >> >>>>>>>> In addition to SYSTEM_TIME, lake houses such as paimon and >> >> iceberg >> >>>>>>> support >> >>>>>>>> snapshot or version. For example, users can query snapshot 1 for >> >>>>> paimon >> >>>>>>> by >> >>>>>>>> the following statement >> >>>>>>>> SELECT * FROM t VERSION AS OF 1 >> >>>>>>>> >> >>>>>>>> Could we support this in Flink too? >> >>>>>>>> >> >>>>>>>> Best, >> >>>>>>>> Shammon FY >> >>>>>>>> >> >>>>>>>> On Fri, May 26, 2023 at 1:20 PM Benchao Li < >> >> libenc...@apache.org> >> >>>>>> wrote: >> >>>>>>>> >> >>>>>>>>> Regarding the implementation, did you consider the pushdown >> >>>>> abilities >> >>>>>>>>> compatible, e.g., projection pushdown, filter pushdown, >> >>> partition >> >>>>>>>> pushdown. >> >>>>>>>>> Since `Snapshot` is not handled much in existing rules, I >> >> have a >> >>>>>>> concern >> >>>>>>>>> about this. Of course, it depends on your implementation >> >> detail, >> >>>>> what >> >>>>>>> is >> >>>>>>>>> important is that we'd better add some cross tests for these. >> >>>>>>>>> >> >>>>>>>>> Regarding the interface exposed to Connector, I see there is a >> >>>>>> rejected >> >>>>>>>>> design for adding SupportsTimeTravel, but I didn't see the >> >>>>>> alternative >> >>>>>>> in >> >>>>>>>>> the FLIP doc. IMO, this is an important thing we need to >> >> clarify >> >>>>>>> because >> >>>>>>>> we >> >>>>>>>>> need to know whether the Connector supports this, and what >> >>>>>>>> column/metadata >> >>>>>>>>> corresponds to 'system_time'. >> >>>>>>>>> >> >>>>>>>>> Feng Jin <jinfeng1...@gmail.com> 于2023年5月25日周四 22:50写道: >> >>>>>>>>> >> >>>>>>>>>> Thanks for your reply >> >>>>>>>>>> >> >>>>>>>>>> @Timo @BenChao @yuxia >> >>>>>>>>>> >> >>>>>>>>>> Sorry for the mistake, Currently , calcite only supports >> >>> `FOR >> >>>>>>>>> SYSTEM_TIME >> >>>>>>>>>> AS OF ` syntax. We can only support `FOR SYSTEM_TIME AS >> >> OF` >> >>> . >> >>>>>> I've >> >>>>>>>>>> updated the syntax part of the FLIP. >> >>>>>>>>>> >> >>>>>>>>>> >> >>>>>>>>>> @Timo >> >>>>>>>>>> >> >>>>>>>>>>> We will convert it to TIMESTAMP_LTZ? >> >>>>>>>>>> >> >>>>>>>>>> Yes, I think we need to convert TIMESTAMP to TIMESTAMP_LTZ >> >> and >> >>>>> then >> >>>>>>>>> convert >> >>>>>>>>>> it into a long value. >> >>>>>>>>>> >> >>>>>>>>>>> How do we want to query the most recent version of a table >> >>>>>>>>>> >> >>>>>>>>>> I think we can use `AS OF CURRENT_TIMESTAMP` ,But it does >> >>> cause >> >>>>>>>>>> inconsistency with the real-time concept. >> >>>>>>>>>> However, from my personal understanding, the scope of `AS >> >> OF >> >>>>>>>>>> CURRENT_TIMESTAMP` is the table itself, not the table >> >> record. >> >>>>> So, >> >>>>>> I >> >>>>>>>>> think >> >>>>>>>>>> using CURRENT_TIMESTAMP should also be reasonable?. >> >>>>>>>>>> Additionally, if no version is specified, the latest version >> >>>>> should >> >>>>>>> be >> >>>>>>>>> used >> >>>>>>>>>> by default. >> >>>>>>>>>> >> >>>>>>>>>> >> >>>>>>>>>> >> >>>>>>>>>> Best, >> >>>>>>>>>> Feng >> >>>>>>>>>> >> >>>>>>>>>> >> >>>>>>>>>> On Thu, May 25, 2023 at 7:47 PM yuxia < >> >>>>> luoyu...@alumni.sjtu.edu.cn >> >>>>>>> >> >>>>>>>>> wrote: >> >>>>>>>>>> >> >>>>>>>>>>> Thanks Feng for bringing this up. It'll be great to >> >>> introduce >> >>>>>> time >> >>>>>>>>> travel >> >>>>>>>>>>> to Flink to have a better integration with external data >> >>>>> soruces. >> >>>>>>>>>>> >> >>>>>>>>>>> I also share same concern about the syntax. >> >>>>>>>>>>> I see in the part of `Whether to support other syntax >> >>>>>>>> implementations` >> >>>>>>>>> in >> >>>>>>>>>>> this FLIP, seems the syntax in Calcite should be `FOR >> >>>>> SYSTEM_TIME >> >>>>>>> AS >> >>>>>>>>> OF`, >> >>>>>>>>>>> right? >> >>>>>>>>>>> But the the syntax part in this FLIP, it seems to be `AS >> >> OF >> >>>>>>>> TIMESTAMP` >> >>>>>>>>>>> instead of `FOR SYSTEM_TIME AS OF`. Is it just a mistake >> >> or >> >>>>> by >> >>>>>>>> design? >> >>>>>>>>>>> >> >>>>>>>>>>> >> >>>>>>>>>>> Best regards, >> >>>>>>>>>>> Yuxia >> >>>>>>>>>>> >> >>>>>>>>>>> ----- 原始邮件 ----- >> >>>>>>>>>>> 发件人: "Benchao Li" <libenc...@apache.org> >> >>>>>>>>>>> 收件人: "dev" <dev@flink.apache.org> >> >>>>>>>>>>> 发送时间: 星期四, 2023年 5 月 25日 下午 7:27:17 >> >>>>>>>>>>> 主题: Re: [DISCUSS] FLIP-308: Support Time Travel In Batch >> >>> Mode >> >>>>>>>>>>> >> >>>>>>>>>>> Thanks Feng, it's exciting to have this ability. >> >>>>>>>>>>> >> >>>>>>>>>>> Regarding the syntax section, are you proposing `AS OF` >> >>>>> instead >> >>>>>> of >> >>>>>>>> `FOR >> >>>>>>>>>>> SYSTEM AS OF` to do this? I know `FOR SYSTEM AS OF` is in >> >>> the >> >>>>> SQL >> >>>>>>>>>> standard >> >>>>>>>>>>> and has been supported in some database vendors such as >> >> SQL >> >>>>>> Server. >> >>>>>>>>> About >> >>>>>>>>>>> `AS OF`, is it in the standard or any database vendor >> >>> supports >> >>>>>>> this, >> >>>>>>>> if >> >>>>>>>>>>> yes, I think it's worth to add this support to Calcite, >> >> and >> >>> I >> >>>>>> would >> >>>>>>>>> give >> >>>>>>>>>> a >> >>>>>>>>>>> hand in Calcite side. Otherwise, I think we'd better to >> >> use >> >>>>> `FOR >> >>>>>>>> SYSTEM >> >>>>>>>>>> AS >> >>>>>>>>>>> OF`. >> >>>>>>>>>>> >> >>>>>>>>>>> Timo Walther <twal...@apache.org> 于2023年5月25日周四 19:02写道: >> >>>>>>>>>>> >> >>>>>>>>>>>> Also: How do we want to query the most recent version >> >> of a >> >>>>>> table? >> >>>>>>>>>>>> >> >>>>>>>>>>>> `AS OF CURRENT_TIMESTAMP` would be ideal, but according >> >> to >> >>>>> the >> >>>>>>> docs >> >>>>>>>>>> both >> >>>>>>>>>>>> the type is TIMESTAMP_LTZ and what is even more >> >> concerning >> >>>>> is >> >>>>>> the >> >>>>>>>> it >> >>>>>>>>>>>> actually is evalated row-based: >> >>>>>>>>>>>> >> >>>>>>>>>>>>> Returns the current SQL timestamp in the local time >> >>> zone, >> >>>>>> the >> >>>>>>>>> return >> >>>>>>>>>>>> type is TIMESTAMP_LTZ(3). It is evaluated for each >> >> record >> >>> in >> >>>>>>>>> streaming >> >>>>>>>>>>>> mode. But in batch mode, it is evaluated once as the >> >> query >> >>>>>> starts >> >>>>>>>> and >> >>>>>>>>>>>> uses the same result for every row. >> >>>>>>>>>>>> >> >>>>>>>>>>>> This could make it difficult to explain in a join >> >> scenario >> >>>>> of >> >>>>>>>>> multiple >> >>>>>>>>>>>> snapshotted tables. >> >>>>>>>>>>>> >> >>>>>>>>>>>> Regards, >> >>>>>>>>>>>> Timo >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> On 25.05.23 12:29, Timo Walther wrote: >> >>>>>>>>>>>>> Hi Feng, >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> thanks for proposing this FLIP. It makes a lot of >> >> sense >> >>> to >> >>>>>>>> finally >> >>>>>>>>>>>>> support querying tables at a specific point in time or >> >>>>>>> hopefully >> >>>>>>>>> also >> >>>>>>>>>>>>> ranges soon. Following time-versioned tables. >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> Here is some feedback from my side: >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> 1. Syntax >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> Can you elaborate a bit on the Calcite restrictions? >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> Does Calcite currently support `AS OF` syntax for this >> >>> but >> >>>>>> not >> >>>>>>>> `FOR >> >>>>>>>>>>>>> SYSTEM_TIME AS OF`? >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> It would be great to support `AS OF` also for >> >>>>> time-versioned >> >>>>>>>> joins >> >>>>>>>>>> and >> >>>>>>>>>>>>> have a unified and short syntax. >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> Once a fix is merged in Calcite for this, we can make >> >>> this >> >>>>>>>>> available >> >>>>>>>>>> in >> >>>>>>>>>>>>> Flink earlier by copying the corresponding classes >> >> until >> >>>>> the >> >>>>>>> next >> >>>>>>>>>>>>> Calcite upgrade is performed. >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> 2. Semantics >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> How do we interpret the timestamp? In Flink we have 2 >> >>>>>> timestamp >> >>>>>>>>> types >> >>>>>>>>>>>>> (TIMESTAMP and TIMESTAMP_LTZ). If users specify AS OF >> >>>>>> TIMESTAMP >> >>>>>>>>>>>>> '2023-04-27 00:00:00', in which timezone will the >> >>>>> timestamp >> >>>>>> be? >> >>>>>>>> We >> >>>>>>>>>> will >> >>>>>>>>>>>>> convert it to TIMESTAMP_LTZ? >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> We definely need to clarify this because the past has >> >>>>> shown >> >>>>>>> that >> >>>>>>>>>>>>> daylight saving times make our lives hard. >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> Thanks, >> >>>>>>>>>>>>> Timo >> >>>>>>>>>>>>> >> >>>>>>>>>>>>> On 25.05.23 10:57, Feng Jin wrote: >> >>>>>>>>>>>>>> Hi, everyone. >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> I’d like to start a discussion about FLIP-308: >> >> Support >> >>>>> Time >> >>>>>>>> Travel >> >>>>>>>>>> In >> >>>>>>>>>>>>>> Batch >> >>>>>>>>>>>>>> Mode [1] >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> Time travel is a SQL syntax used to query historical >> >>>>>> versions >> >>>>>>> of >> >>>>>>>>>> data. >> >>>>>>>>>>>> It >> >>>>>>>>>>>>>> allows users to specify a point in time and retrieve >> >>> the >> >>>>>> data >> >>>>>>>> and >> >>>>>>>>>>>>>> schema of >> >>>>>>>>>>>>>> a table as it appeared at that time. With time >> >> travel, >> >>>>> users >> >>>>>>> can >> >>>>>>>>>>> easily >> >>>>>>>>>>>>>> analyze and compare historical versions of data. >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> With the widespread use of data lake systems such as >> >>>>> Paimon, >> >>>>>>>>>> Iceberg, >> >>>>>>>>>>>> and >> >>>>>>>>>>>>>> Hudi, time travel can provide more convenience for >> >>> users' >> >>>>>> data >> >>>>>>>>>>> analysis. >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> Looking forward to your opinions, any suggestions are >> >>>>>>> welcomed. >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> 1. >> >>>>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>> >> >>>>>>>>>> >> >>>>>>>>> >> >>>>>>>> >> >>>>>>> >> >>>>>> >> >>>>> >> >>> >> >> >> https://cwiki.apache.org/confluence/display/FLINK/FLIP-308%3A+Support+Time+Travel+In+Batch+Mode >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> Best. >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>>> Feng >> >>>>>>>>>>>>>> >> >>>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>> >> >>>>>>>>>>> -- >> >>>>>>>>>>> >> >>>>>>>>>>> Best, >> >>>>>>>>>>> Benchao Li >> >>>>>>>>>>> >> >>>>>>>>>> >> >>>>>>>>> >> >>>>>>>>> >> >>>>>>>>> -- >> >>>>>>>>> >> >>>>>>>>> Best, >> >>>>>>>>> Benchao Li >> >>>>>>>>> >> >>>>>>>> >> >>>>>>> >> >>>>>> >> >>>>>> >> >>>>>> -- >> >>>>>> >> >>>>>> Best, >> >>>>>> Benchao Li >> >>>>>> >> >>>>> >> >>>> >> >>> >> >> >> >>