vinothchandar commented on code in PR #8093:
URL: https://github.com/apache/hudi/pull/8093#discussion_r1144186146


##########
website/docs/timeline.md:
##########
@@ -3,40 +3,386 @@ title: Timeline
 toc: true
 ---
 
-## Timeline
-At its core, Hudi maintains a `timeline` of all actions performed on the table 
at different `instants` of time that helps provide instantaneous views of the 
table,
-while also efficiently supporting retrieval of data in the order of arrival. A 
Hudi instant consists of the following components
+A Hudi table maintains all operations happened to the table in a single 
timeline comprised of two parts, an active timeline and an archived timeline. 
The active timeline stores all the recent instants, while the archived timeline 
stores the older instants. An instant is a transaction where all respective 
partitions within a base path have been successfully updated by either a writer 
or a table service. Instants that get older in the active timeline are moved to 
archived timeline at various times.
 
-* `Instant action` : Type of action performed on the table
-* `Instant time` : Instant time is typically a timestamp (e.g: 
20190117010349), which monotonically increases in the order of action's begin 
time.
-* `state` : current state of the instant
+An instant can alter one or many partitions:
 
-Hudi guarantees that the actions performed on the timeline are atomic & 
timeline consistent based on the instant time.
+-   If you have one batch ingestion, you’ll see that as one commit in the 
active timeline. If you ingest streaming data, you might see multiple commits 
in the active timeline.When you open that commit file, you’ll see a JSON object 
with metadata about how one or more partitions were altered.

Review Comment:
   I don't follow this line. regardless of batch or streaming engines, 1 write 
is 1 commit. no?



##########
website/docs/timeline.md:
##########
@@ -3,40 +3,386 @@ title: Timeline
 toc: true
 ---
 
-## Timeline
-At its core, Hudi maintains a `timeline` of all actions performed on the table 
at different `instants` of time that helps provide instantaneous views of the 
table,
-while also efficiently supporting retrieval of data in the order of arrival. A 
Hudi instant consists of the following components
+A Hudi table maintains all operations happened to the table in a single 
timeline comprised of two parts, an active timeline and an archived timeline. 
The active timeline stores all the recent instants, while the archived timeline 
stores the older instants. An instant is a transaction where all respective 
partitions within a base path have been successfully updated by either a writer 
or a table service. Instants that get older in the active timeline are moved to 
archived timeline at various times.
 
-* `Instant action` : Type of action performed on the table
-* `Instant time` : Instant time is typically a timestamp (e.g: 
20190117010349), which monotonically increases in the order of action's begin 
time.
-* `state` : current state of the instant
+An instant can alter one or many partitions:
 
-Hudi guarantees that the actions performed on the timeline are atomic & 
timeline consistent based on the instant time.
+-   If you have one batch ingestion, you’ll see that as one commit in the 
active timeline. If you ingest streaming data, you might see multiple commits 
in the active timeline.When you open that commit file, you’ll see a JSON object 
with metadata about how one or more partitions were altered.
 
-Key actions performed include
+We’ll go over some details and concepts about the active and archived timeline 
below. All files in the timelines are immutable.
 
-* `COMMITS` - A commit denotes an **atomic write** of a batch of records into 
a table.
-* `CLEANS` - Background activity that gets rid of older versions of files in 
the table, that are no longer needed.
-* `DELTA_COMMIT` - A delta commit refers to an **atomic write** of a batch of 
records into a  MergeOnRead type table, where some/all of the data could be 
just written to delta logs.
-* `COMPACTION` - Background activity to reconcile differential data structures 
within Hudi e.g: moving updates from row based log files to columnar formats. 
Internally, compaction manifests as a special commit on the timeline
-* `ROLLBACK` - Indicates that a commit/delta commit was unsuccessful & rolled 
back, removing any partial files produced during such a write
-* `SAVEPOINT` - Marks certain file groups as "saved", such that cleaner will 
not delete them. It helps restore the table to a point on the timeline, in case 
of disaster/data recovery scenarios.
+:::caution
+The user should never directly alter the timeline (i.e. manually delete the 
commits).
+:::
 
-Any given instant can be
-in one of the following states
+## Active Timeline
 
-* `REQUESTED` - Denotes an action has been scheduled, but has not initiated
-* `INFLIGHT` - Denotes that the action is currently being performed
-* `COMPLETED` - Denotes completion of an action on the timeline
+The active timeline is a source of truth for all write operations: when an 
action (described below) happens on a table, the timeline is responsible for 
recording it. This guarantees a good table state, and Hudi can provide 
read/write isolation based on the timeline. For example, when data is being 
written to a Hudi table (i.e., requested, inflight), any data being written as 
part of the transaction is not visible to a query engine until the write 
transaction is completed. The query engine can still read older data, but the 
data inflight won’t be exposed.

Review Comment:
   we should explain how timeline is a log, and atomicity is achieve by simply 
relying on atomic puts to storage. 



##########
website/docs/timeline.md:
##########
@@ -3,40 +3,386 @@ title: Timeline
 toc: true
 ---
 
-## Timeline
-At its core, Hudi maintains a `timeline` of all actions performed on the table 
at different `instants` of time that helps provide instantaneous views of the 
table,
-while also efficiently supporting retrieval of data in the order of arrival. A 
Hudi instant consists of the following components
+A Hudi table maintains all operations happened to the table in a single 
timeline comprised of two parts, an active timeline and an archived timeline. 
The active timeline stores all the recent instants, while the archived timeline 
stores the older instants. An instant is a transaction where all respective 
partitions within a base path have been successfully updated by either a writer 
or a table service. Instants that get older in the active timeline are moved to 
archived timeline at various times.
 
-* `Instant action` : Type of action performed on the table

Review Comment:
   these are very foundational concepts to explain the core design. Not sure 
omitting them is a good idea



##########
website/docs/timeline.md:
##########
@@ -3,40 +3,386 @@ title: Timeline
 toc: true
 ---
 
-## Timeline
-At its core, Hudi maintains a `timeline` of all actions performed on the table 
at different `instants` of time that helps provide instantaneous views of the 
table,
-while also efficiently supporting retrieval of data in the order of arrival. A 
Hudi instant consists of the following components
+A Hudi table maintains all operations happened to the table in a single 
timeline comprised of two parts, an active timeline and an archived timeline. 
The active timeline stores all the recent instants, while the archived timeline 
stores the older instants. An instant is a transaction where all respective 
partitions within a base path have been successfully updated by either a writer 
or a table service. Instants that get older in the active timeline are moved to 
archived timeline at various times.

Review Comment:
   this is more or less the first concepts page. so feels early to discuss 
partitions and table services here.



##########
website/docs/timeline.md:
##########
@@ -3,40 +3,386 @@ title: Timeline
 toc: true
 ---
 
-## Timeline
-At its core, Hudi maintains a `timeline` of all actions performed on the table 
at different `instants` of time that helps provide instantaneous views of the 
table,
-while also efficiently supporting retrieval of data in the order of arrival. A 
Hudi instant consists of the following components
+A Hudi table maintains all operations happened to the table in a single 
timeline comprised of two parts, an active timeline and an archived timeline. 
The active timeline stores all the recent instants, while the archived timeline 
stores the older instants. An instant is a transaction where all respective 
partitions within a base path have been successfully updated by either a writer 
or a table service. Instants that get older in the active timeline are moved to 
archived timeline at various times.
 
-* `Instant action` : Type of action performed on the table
-* `Instant time` : Instant time is typically a timestamp (e.g: 
20190117010349), which monotonically increases in the order of action's begin 
time.
-* `state` : current state of the instant
+An instant can alter one or many partitions:
 
-Hudi guarantees that the actions performed on the timeline are atomic & 
timeline consistent based on the instant time.
+-   If you have one batch ingestion, you’ll see that as one commit in the 
active timeline. If you ingest streaming data, you might see multiple commits 
in the active timeline.When you open that commit file, you’ll see a JSON object 
with metadata about how one or more partitions were altered.

Review Comment:
   >you’ll see a JSON object with metadata about how one or more partitions 
were altered
   
   we track file level changes actually. and it's AVRO,right



##########
website/docs/timeline.md:
##########
@@ -3,40 +3,386 @@ title: Timeline
 toc: true
 ---
 
-## Timeline
-At its core, Hudi maintains a `timeline` of all actions performed on the table 
at different `instants` of time that helps provide instantaneous views of the 
table,
-while also efficiently supporting retrieval of data in the order of arrival. A 
Hudi instant consists of the following components
+A Hudi table maintains all operations happened to the table in a single 
timeline comprised of two parts, an active timeline and an archived timeline. 
The active timeline stores all the recent instants, while the archived timeline 
stores the older instants. An instant is a transaction where all respective 
partitions within a base path have been successfully updated by either a writer 
or a table service. Instants that get older in the active timeline are moved to 
archived timeline at various times.
 
-* `Instant action` : Type of action performed on the table
-* `Instant time` : Instant time is typically a timestamp (e.g: 
20190117010349), which monotonically increases in the order of action's begin 
time.
-* `state` : current state of the instant
+An instant can alter one or many partitions:
 
-Hudi guarantees that the actions performed on the timeline are atomic & 
timeline consistent based on the instant time.
+-   If you have one batch ingestion, you’ll see that as one commit in the 
active timeline. If you ingest streaming data, you might see multiple commits 
in the active timeline.When you open that commit file, you’ll see a JSON object 
with metadata about how one or more partitions were altered.
 
-Key actions performed include
+We’ll go over some details and concepts about the active and archived timeline 
below. All files in the timelines are immutable.
 
-* `COMMITS` - A commit denotes an **atomic write** of a batch of records into 
a table.
-* `CLEANS` - Background activity that gets rid of older versions of files in 
the table, that are no longer needed.
-* `DELTA_COMMIT` - A delta commit refers to an **atomic write** of a batch of 
records into a  MergeOnRead type table, where some/all of the data could be 
just written to delta logs.
-* `COMPACTION` - Background activity to reconcile differential data structures 
within Hudi e.g: moving updates from row based log files to columnar formats. 
Internally, compaction manifests as a special commit on the timeline
-* `ROLLBACK` - Indicates that a commit/delta commit was unsuccessful & rolled 
back, removing any partial files produced during such a write
-* `SAVEPOINT` - Marks certain file groups as "saved", such that cleaner will 
not delete them. It helps restore the table to a point on the timeline, in case 
of disaster/data recovery scenarios.
+:::caution
+The user should never directly alter the timeline (i.e. manually delete the 
commits).
+:::
 
-Any given instant can be
-in one of the following states
+## Active Timeline
 
-* `REQUESTED` - Denotes an action has been scheduled, but has not initiated
-* `INFLIGHT` - Denotes that the action is currently being performed
-* `COMPLETED` - Denotes completion of an action on the timeline
+The active timeline is a source of truth for all write operations: when an 
action (described below) happens on a table, the timeline is responsible for 
recording it. This guarantees a good table state, and Hudi can provide 
read/write isolation based on the timeline. For example, when data is being 
written to a Hudi table (i.e., requested, inflight), any data being written as 
part of the transaction is not visible to a query engine until the write 
transaction is completed. The query engine can still read older data, but the 
data inflight won’t be exposed.
 
-<figure>
-    <img className="docimage" 
src={require("/assets/images/hudi_timeline.png").default} 
alt="hudi_timeline.png" />
-</figure>
+The active timeline is under the `.hoodie` metadata folder. For example, when 
you navigate to your Hudi project directory:
 
-Example above shows upserts happenings between 10:00 and 10:20 on a Hudi 
table, roughly every 5 mins, leaving commit metadata on the Hudi timeline, along
-with other background cleaning/compactions. One key observation to make is 
that the commit time indicates the `arrival time` of the data (10:20AM), while 
the actual data
-organization reflects the actual time or `event time`, the data was intended 
for (hourly buckets from 07:00). These are two key concepts when reasoning 
about tradeoffs between latency and completeness of data.
+```sh
+cd $YOUR_HUDI_PROJECT_DIRECTORY && ls -a 
+```
+
+You’ll see the `.hoodie` metadata folder:
+
+```sh
+ls -a
+.              ..              .hoodie         americas        asia
+```
+
+When you navigate inside the `.hoodie` folder, you’ll see a lot of files with 
different suffixes and the archived timeline folder: 
+
+```sh
+cd .hoodie && ls
+2023021018095339.commit
+20230210180953939.commit.requested     
+20230210180953939.inflight
+archived
+```
+
+Before we go into what’s in the files or how the files are named, we’ll need 
to cover some broader concepts: 
+- [actions](/docs/timeline#actions)
+- [states](/docs/timeline#states)
+- [instants](/docs/timeline#instants)
+
+## Actions
+An action describes what and how transactions were changed. Hudi guarantees 
that the actions performed on the timeline are atomic and consistent based on 
the instant time.
+Key actions performed include:
+- **COMMIT**: A commit denotes an atomic write of a batch of records into 
parquet base files in a table.
+  -  Deltastreamer and Spark Datasource automatically support this; you do not 
need to set any configs. 
+- **REPLACECOMMIT**: This denotes an action that adds new data files to 
replace existing files in a table.
+  - Clustering generates a`replacecommit`, for example, when perform a 
clustering service, it generates a `replacecommit` action.
+  - Clustering is disabled by default. Please check the [clustering 
documentation](https://hudi.apache.org/docs/clustering/) for more details. 
+- **CLEAN**: This table service action eliminates older versions of files in 
the table that is no longer needed.
+  - Hudi automatically supports 
[clean](https://hudi.apache.org/docs/basic_configurations#Clean-Configs) as the 
default behavior. 
+  - However, the user can disable this setting and perform the clean 
separately. You can configure the clean through Spark SQL call procedure, Scala 
within a Spark Shell and the Hudi CLI tool. 
+- **DELTACOMMIT**: This refers to an atomic write of a batch of records into a 
Merge-On-Read type table, where some/all of the data could be just written to 
delta logs.
+  - [Deltastreamer](https://hudi.apache.org/docs/hoodie_deltastreamer) and 
Spark DataSource automatically support this; you don't need to set configs.
+- **COMPACTION**: This is background activity to reconcile differential data 
structures within Hudi. For example, moving updates from row-based log files to 
columnar formats. Internally, compaction manifests as a unique commit on the 
timeline.
+  - Hudi automatically supports compaction as the default behavior. 
+  - However, you can disable this setting and perform the compactions 
separately. You can configure the 
[compactions](https://hudi.apache.org/docs/basic_configurations#Compaction-Configs)
 through the Spark SQL call procedure, Scala within a Spark Shell and the Hudi 
CLI tool. 
+- **ROLLBACK**: This indicates that a commit/delta commit was unsuccessful & 
rolled back, removing any partial files produced during the writes.
+  - Hudi automatically supports rollbacks as the default behavior. 
+  - However, the user can disable this setting and perform rollbacks 
separately. You can configure the 
[rollbacks](https://hudi.apache.org/docs/configurations#hoodierollbackparallelism)
 through the Spark SQL call procedure, Scala within a Spark Shell and the Hudi 
CLI tool. 
+- **SAVEPOINT**: This marks certain file groups as "saved," where the cleaner 
will not delete them. It helps restore the table to a point on the timeline for 
disaster/data recovery scenarios.
+  - This is supported by the Spark SQL call procedure, Scala within a Spark 
Shell and the Hudi CLI tool. You manually set up this action. 
+- **RESTORE**: This indicates an action to restore the table to a previous 
state.
+  - This is supported by the Spark SQL call procedure, Scala within a Spark 
Shell and the Hudi CLI tool. You manually set up this action. 
+- **INDEXING**: This denotes an action to [asynchronounsly build the 
index](https://hudi.apache.org/docs/metadata_indexing) in the metadata table.
+
+## States
+A state denotes if an action has been scheduled, in progress or completed. 
There are three different states an action can be in: 
+- **REQUESTED**: Denotes an action has been has initiated, but has not been 
scheduled.
+- **INFLIGHT**: Denotes an action is currently being performed.
+- **COMPLETED**: Denotes completion of an action on the timeline.
+
+When a transaction is initiated for an operation, we create an instant file 
with a `.requested` suffix that marks the transaction has been initiated. When 
a transaction is transitioned from requested to inflight, the writes or a table 
service task (i.e., cleaning, compaction, etc) will be modifying, deleting, 
updating or inserting a file in a Hudi table. The instant file will have a 
`.inflight`  suffix, and the inflight state means the transaction tasks are 
ongoing. When the transaction tasks are completed successfully, the transaction 
state transitions from inflight to complete. The instant file will **NOT HAVE** 
a completed suffix; instead, there will be no suffix. We’ll point this out down 
below. 
+
+## Instants
+At its core, Hudi maintains a timeline of all actions performed on the table 
at different timestamps, represented as a series of instants. The instants 
provide snapshot views of the table, while also efficiently supporting data 
retrieval in the order of arrival. A Hudi instant consists of the following 
components:
+- **instant time**: An instant time is typically a timestamp (e.g: 
20190117010349 for second-level granularity prior to 0.10.0 release or 
20190117010349567 for millisecond-level granularity since 0.10.0 release). The 
instant time monotonically increases in the order of action's begin time. The 
timezone will be the same as your machine's timeszone.
+- **instant action**:  An instant action is a type of action performed on the 
table. 
+- **state suffix**: A state suffix is the current state of the instant.
+
+Inside the `.hoodie` folder, each transaction has three metadata files. Each 
file is named differently depending on the state: 
+- For a transaction with a **requested** or **inflight** state, the files are 
written like this: 
+  - [instantTime.instantAction.stateSuffix]
+ - For a transaction with a **completed** state, the files are written like 
this: 
+   - [instantTime.ActionName]
+
+Below are four instances inside the `.hoodie` folder. Let's check out two 
instant examples where the states are different:
+
+```sh
+cd .hoodie && ls 
+20230210181040140.commit.requested     #requested state
+2023021018095339.commit                #completed state
+20230210180953939.commit.requested  
+20230210180953939.inflight
+
+```
+
+- Looking at `20230210181040140.commit.requested `, we can see this instant 
file has the timestamp + action + state because it was in a requested state.
+
+- Looking at `2023021018095339.commit`, we can see this instant has the 
timestamp + action because it is in the completed state. 
+
+### An Instant File
+An instant file will be serialized into a JSON or Avro object with metadata 
information about the file. 
+- For files that have **COMMIT** or **DELTACOMMIT** action, you’ll see a JSON 
object.
+- All other actions will be serialized in an Avro object.
+
+#### A file in a requested state for a COMMIT or DELTACOMMIT action
+
+When a COMMIT is in a requested state, it’ll be an empty file:
+
+```sh 
+.hoodie $ cat 20230210181040140.commit.requested 
+.hoodie $
+```
+
+#### A COMMIT in an inflight state
+When a COMMIT is in an inflight state, it’ll be have some metadata information 
about the file, but will largely be incomplete:
+
+```sh 
+.hoodie $ cat 20230210181040140.inflight
+{
+  "partitionToWriteStats" : {
+    "americas/brazil/sao_paulo" : [ {
+      "fileId" : "",
+      "path" : null,
+      "prevCommit" : "null",
+      "numWrites" : 0,
+      "numDeletes" : 0,
+      "numUpdateWrites" : 0,
+      "numInserts" : 0,
+      "totalWriteBytes" : 0,
+      "totalWriteErrors" : 0,
+      "tempPath" : null,
+      "partitionPath" : null,
+      "totalLogRecords" : 0,
+      "totalLogFilesCompacted" : 0,
+      "totalLogSizeCompacted" : 0,
+      "totalUpdatedRecordsCompacted" : 0,
+      "totalLogBlocks" : 0,
+      "totalCorruptLogBlock" : 0,
+      "totalRollbackBlocks" : 0,
+      "fileSizeInBytes" : 0,
+      "minEventTime" : null,
+      "maxEventTime" : null,
+      "runtimeStats" : null
+    }, {
+      "fileId" : "384c94e2-293d-4d8e-ade7-b9b3be629f3b-0",
+      "path" : null,
+      "prevCommit" : "20230210181058805",
+      "numWrites" : 0,
+      "numDeletes" : 0,
+      "numUpdateWrites" : 13221,
+      "numInserts" : 0,
+      "totalWriteBytes" : 0,
+      "totalWriteErrors" : 0,
+      "tempPath" : null,
+      "partitionPath" : null,
+      "totalLogRecords" : 0,
+      "totalLogFilesCompacted" : 0,
+      "totalLogSizeCompacted" : 0,
+      "totalUpdatedRecordsCompacted" : 0,
+      "totalLogBlocks" : 0,
+      "totalCorruptLogBlock" : 0,
+      "totalRollbackBlocks" : 0,
+      "fileSizeInBytes" : 0,
+      "minEventTime" : null,
+      "maxEventTime" : null,
+      "runtimeStats" : null
+    } ],
+    "americas/united_states/san_francisco" : [ {
+      "fileId" : "",
+      "path" : null,
+      "prevCommit" : "null",
+      "numWrites" : 0,
+      "numDeletes" : 0,
+      "numUpdateWrites" : 0,
+      "numInserts" : 0,
+      "totalWriteBytes" : 0,
+      "totalWriteErrors" : 0,
+      "tempPath" : null,
+      "partitionPath" : null,
+      "totalLogRecords" : 0,
+      "totalLogFilesCompacted" : 0,
+      "totalLogSizeCompacted" : 0,
+      "totalUpdatedRecordsCompacted" : 0,
+      "totalLogBlocks" : 0,
+      "totalCorruptLogBlock" : 0,
+      "totalRollbackBlocks" : 0,
+      "fileSizeInBytes" : 0,
+      "minEventTime" : null,
+      "maxEventTime" : null,
+      "runtimeStats" : null
+    }, {
+      "fileId" : "c26ac037-4e5f-492f-bfb8-fbbd3bd79848-0",
+      "path" : null,
+      "prevCommit" : "20230210181058805",
+      "numWrites" : 0,
+      "numDeletes" : 0,
+      "numUpdateWrites" : 13145,
+      "numInserts" : 0,
+      "totalWriteBytes" : 0,
+      "totalWriteErrors" : 0,
+      "tempPath" : null,
+      "partitionPath" : null,
+      "totalLogRecords" : 0,
+      "totalLogFilesCompacted" : 0,
+      "totalLogSizeCompacted" : 0,
+      "totalUpdatedRecordsCompacted" : 0,
+      "totalLogBlocks" : 0,
+      "totalCorruptLogBlock" : 0,
+      "totalRollbackBlocks" : 0,
+      "fileSizeInBytes" : 0,
+      "minEventTime" : null,
+      "maxEventTime" : null,
+      "runtimeStats" : null
+    } ],
+    "asia/india/chennai" : [ {
+      "fileId" : "",
+      "path" : null,
+      "prevCommit" : "null",
+      "numWrites" : 0,
+      "numDeletes" : 0,
+      "numUpdateWrites" : 0,
+      "numInserts" : 0,
+      "totalWriteBytes" : 0,
+      "totalWriteErrors" : 0,
+      "tempPath" : null,
+      "partitionPath" : null,
+      "totalLogRecords" : 0,
+      "totalLogFilesCompacted" : 0,
+      "totalLogSizeCompacted" : 0,
+      "totalUpdatedRecordsCompacted" : 0,
+      "totalLogBlocks" : 0,
+      "totalCorruptLogBlock" : 0,
+      "totalRollbackBlocks" : 0,
+      "fileSizeInBytes" : 0,
+      "minEventTime" : null,
+      "maxEventTime" : null,
+      "runtimeStats" : null
+    }, {
+      "fileId" : "85eb99c7-9e85-4b3c-835a-6dcc85e26839-0",
+      "path" : null,
+      "prevCommit" : "20230210181058805",
+      "numWrites" : 0,
+      "numDeletes" : 0,
+      "numUpdateWrites" : 13029,
+      "numInserts" : 0,
+      "totalWriteBytes" : 0,
+      "totalWriteErrors" : 0,
+      "tempPath" : null,
+      "partitionPath" : null,
+      "totalLogRecords" : 0,
+      "totalLogFilesCompacted" : 0,
+      "totalLogSizeCompacted" : 0,
+      "totalUpdatedRecordsCompacted" : 0,
+      "totalLogBlocks" : 0,
+      "totalCorruptLogBlock" : 0,
+      "totalRollbackBlocks" : 0,
+      "fileSizeInBytes" : 0,
+      "minEventTime" : null,
+      "maxEventTime" : null,
+      "runtimeStats" : null
+    } ]
+  },
+  "compacted" : false,
+  "extraMetadata" : { },
+  "operationType" : "UPSERT"
+}%
+```
+
+#### A COMMIT in an completed state
+When a COMMIT is in a completed state, it’ll be have all the metadata 
information, including the schema: 

Review Comment:
   do we need this level of detail in the docs? We can just point to the 
schemas for this metadata? This is covered in the tech-specs already.



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