From 9f5f002e3483b9d5f2285fa51e2b296d0e6ca5b2 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Sun, 8 Dec 2024 20:44:36 -0600
Subject: [PATCH] Microbatch first last batch serial (#11072) (#11107)

* microbatch: split out first and last batch to run in serial

* only run pre_hook on first batch, post_hook on last batch

* refactor: internalize parallel to RunTask._submit_batch

* Add optional `force_sequential` to `_submit_batch` to allow for skipping parallelism check

* Force last batch to run sequentially

* Force first batch to run sequentially

* Remove batch_idx check in `should_run_in_parallel`

`should_run_in_parallel` shouldn't, and no longer needs to, take into
consideration where in batch exists in a larger context. The first and
last batch for a microbatch model are now forced to run sequentially
by `handle_microbatch_model`

* Begin skipping batches if first batch fails

* Write custom `on_skip` for `MicrobatchModelRunner` to better handle when batches are skipped

This was necessary specifically because the default on skip set the `X of Y` part
of the skipped log using the `node_index` and the `num_nodes`. If there was 2
nodes and we are on the 4th batch of the second node, we'd get a message like
`SKIPPED 4 of 2...` which didn't make much sense. We're likely in a future commit
going to add a custom event for logging the start, result, and skipping of batches
for better readability of the logs.

* Add microbatch pre-hook, post-hook, and sequential first/last batch tests

* Fix/Add tests around first batch failure vs latter batch failure

* Correct MicrobatchModelRunner.on_skip to handle skipping the entire node

Previously `MicrobatchModelRunner.on_skip` only handled when a _batch_ of
the model was being skipped. However, that method is also used when the
entire microbatch model is being skipped due to an upstream node error. Because
we previously _weren't_ handling this second case, it'd cause an unhandled
runtime exception. Thus, we now need to check whether we're running a batch or not,
and there is no batch, then use the super's on_skip method.

* Correct conditional logic for setting pre- and post-hooks for batches

Previously we were doing an if+elif for setting pre- and post-hooks
for batches, where in the `if` matched if the batch wasn't the first
batch, and the `elif` matched if the batch wasn't the last batch. The
issue with this is that if the `if` was hit, the `elif` _wouldn't_ be hit.
This caused the first batch to appropriately not run the `post-hook` but
then every hook after would run the `post-hook`.

* Add two new event types `LogStartBatch` and `LogBatchResult`

* Update MicrobatchModelRunner to use new batch specific log events

* Fix event testing

* Update microbatch integration tests to catch batch specific event types

---------

Co-authored-by: Quigley Malcolm <quigley.malcolm@dbtlabs.com>
(cherry picked from commit 03fdb4c1578d74e25615a4f46fb572ecee0685e0)

Co-authored-by: Michelle Ark <MichelleArk@users.noreply.github.com>
---
 .../unreleased/Features-20241206-195308.yaml  |   7 +
 core/dbt/events/core_types.proto              |  29 ++
 core/dbt/events/core_types_pb2.py             | 350 +++++++++---------
 core/dbt/events/types.py                      |  45 +++
 core/dbt/task/run.py                          | 171 +++++++--
 .../functional/microbatch/test_microbatch.py  | 176 ++++++++-
 tests/unit/task/test_run.py                   |   8 +-
 tests/unit/test_events.py                     |   8 +
 8 files changed, 575 insertions(+), 219 deletions(-)
 create mode 100644 .changes/unreleased/Features-20241206-195308.yaml

diff --git a/.changes/unreleased/Features-20241206-195308.yaml b/.changes/unreleased/Features-20241206-195308.yaml
new file mode 100644
index 00000000000..08d17b71daa
--- /dev/null
+++ b/.changes/unreleased/Features-20241206-195308.yaml
@@ -0,0 +1,7 @@
+kind: Features
+body: Ensure pre/post hooks only run on first/last batch respectively for microbatch
+  model batches
+time: 2024-12-06T19:53:08.928793-06:00
+custom:
+  Author: MichelleArk QMalcolm
+  Issue: 11094 11104
diff --git a/core/dbt/events/core_types.proto b/core/dbt/events/core_types.proto
index 2938ebb554f..817d5623350 100644
--- a/core/dbt/events/core_types.proto
+++ b/core/dbt/events/core_types.proto
@@ -1690,6 +1690,35 @@ message MicrobatchExecutionDebugMsg {
     MicrobatchExecutionDebug data = 2;
 }
 
+// Q045
+message LogStartBatch {
+    NodeInfo node_info = 1;
+    string description = 2;
+    int32 batch_index = 3;
+    int32 total_batches = 4;
+}
+
+message LogStartBatchMsg {
+    CoreEventInfo info = 1;
+    LogStartBatch data = 2;
+}
+
+// Q046
+message LogBatchResult {
+    NodeInfo node_info = 1;
+    string description = 2;
+    string status = 3;
+    int32 batch_index = 4;
+    int32 total_batches = 5;
+    float execution_time = 6;
+    Group group = 7;
+}
+
+message LogBatchResultMsg {
+    CoreEventInfo info = 1;
+    LogBatchResult data = 2;
+}
+
 // W - Node testing
 
 // Skipped W001
diff --git a/core/dbt/events/core_types_pb2.py b/core/dbt/events/core_types_pb2.py
index 1e8444f4833..b744a4b8662 100644
--- a/core/dbt/events/core_types_pb2.py
+++ b/core/dbt/events/core_types_pb2.py
@@ -26,7 +26,7 @@
 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2
 
 
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 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
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-  _globals['_LOGSKIPBECAUSEERRORMSG']._serialized_start=34198
-  _globals['_LOGSKIPBECAUSEERRORMSG']._serialized_end=34312
-  _globals['_ENSUREGITINSTALLED']._serialized_start=34314
-  _globals['_ENSUREGITINSTALLED']._serialized_end=34334
-  _globals['_ENSUREGITINSTALLEDMSG']._serialized_start=34336
-  _globals['_ENSUREGITINSTALLEDMSG']._serialized_end=34448
-  _globals['_DEPSCREATINGLOCALSYMLINK']._serialized_start=34450
-  _globals['_DEPSCREATINGLOCALSYMLINK']._serialized_end=34476
-  _globals['_DEPSCREATINGLOCALSYMLINKMSG']._serialized_start=34478
-  _globals['_DEPSCREATINGLOCALSYMLINKMSG']._serialized_end=34602
-  _globals['_DEPSSYMLINKNOTAVAILABLE']._serialized_start=34604
-  _globals['_DEPSSYMLINKNOTAVAILABLE']._serialized_end=34629
-  _globals['_DEPSSYMLINKNOTAVAILABLEMSG']._serialized_start=34631
-  _globals['_DEPSSYMLINKNOTAVAILABLEMSG']._serialized_end=34753
-  _globals['_DISABLETRACKING']._serialized_start=34755
-  _globals['_DISABLETRACKING']._serialized_end=34772
-  _globals['_DISABLETRACKINGMSG']._serialized_start=34774
-  _globals['_DISABLETRACKINGMSG']._serialized_end=34880
-  _globals['_SENDINGEVENT']._serialized_start=34882
-  _globals['_SENDINGEVENT']._serialized_end=34912
-  _globals['_SENDINGEVENTMSG']._serialized_start=34914
-  _globals['_SENDINGEVENTMSG']._serialized_end=35014
-  _globals['_SENDEVENTFAILURE']._serialized_start=35016
-  _globals['_SENDEVENTFAILURE']._serialized_end=35034
-  _globals['_SENDEVENTFAILUREMSG']._serialized_start=35036
-  _globals['_SENDEVENTFAILUREMSG']._serialized_end=35144
-  _globals['_FLUSHEVENTS']._serialized_start=35146
-  _globals['_FLUSHEVENTS']._serialized_end=35159
-  _globals['_FLUSHEVENTSMSG']._serialized_start=35161
-  _globals['_FLUSHEVENTSMSG']._serialized_end=35259
-  _globals['_FLUSHEVENTSFAILURE']._serialized_start=35261
-  _globals['_FLUSHEVENTSFAILURE']._serialized_end=35281
-  _globals['_FLUSHEVENTSFAILUREMSG']._serialized_start=35283
-  _globals['_FLUSHEVENTSFAILUREMSG']._serialized_end=35395
-  _globals['_TRACKINGINITIALIZEFAILURE']._serialized_start=35397
-  _globals['_TRACKINGINITIALIZEFAILURE']._serialized_end=35442
-  _globals['_TRACKINGINITIALIZEFAILUREMSG']._serialized_start=35444
-  _globals['_TRACKINGINITIALIZEFAILUREMSG']._serialized_end=35570
-  _globals['_RUNRESULTWARNINGMESSAGE']._serialized_start=35572
-  _globals['_RUNRESULTWARNINGMESSAGE']._serialized_end=35652
-  _globals['_RUNRESULTWARNINGMESSAGEMSG']._serialized_start=35654
-  _globals['_RUNRESULTWARNINGMESSAGEMSG']._serialized_end=35776
-  _globals['_DEBUGCMDOUT']._serialized_start=35778
-  _globals['_DEBUGCMDOUT']._serialized_end=35804
-  _globals['_DEBUGCMDOUTMSG']._serialized_start=35806
-  _globals['_DEBUGCMDOUTMSG']._serialized_end=35904
-  _globals['_DEBUGCMDRESULT']._serialized_start=35906
-  _globals['_DEBUGCMDRESULT']._serialized_end=35935
-  _globals['_DEBUGCMDRESULTMSG']._serialized_start=35937
-  _globals['_DEBUGCMDRESULTMSG']._serialized_end=36041
-  _globals['_LISTCMDOUT']._serialized_start=36043
-  _globals['_LISTCMDOUT']._serialized_end=36068
-  _globals['_LISTCMDOUTMSG']._serialized_start=36070
-  _globals['_LISTCMDOUTMSG']._serialized_end=36166
-  _globals['_RESOURCEREPORT']._serialized_start=36169
-  _globals['_RESOURCEREPORT']._serialized_end=36405
-  _globals['_RESOURCEREPORTMSG']._serialized_start=36407
-  _globals['_RESOURCEREPORTMSG']._serialized_end=36511
+  _globals['_LOGSTARTBATCH']._serialized_start=29078
+  _globals['_LOGSTARTBATCH']._serialized_end=29200
+  _globals['_LOGSTARTBATCHMSG']._serialized_start=29202
+  _globals['_LOGSTARTBATCHMSG']._serialized_end=29304
+  _globals['_LOGBATCHRESULT']._serialized_start=29307
+  _globals['_LOGBATCHRESULT']._serialized_end=29505
+  _globals['_LOGBATCHRESULTMSG']._serialized_start=29507
+  _globals['_LOGBATCHRESULTMSG']._serialized_end=29611
+  _globals['_CATCHABLEEXCEPTIONONRUN']._serialized_start=29613
+  _globals['_CATCHABLEEXCEPTIONONRUN']._serialized_end=29711
+  _globals['_CATCHABLEEXCEPTIONONRUNMSG']._serialized_start=29713
+  _globals['_CATCHABLEEXCEPTIONONRUNMSG']._serialized_end=29835
+  _globals['_INTERNALERRORONRUN']._serialized_start=29837
+  _globals['_INTERNALERRORONRUN']._serialized_end=29932
+  _globals['_INTERNALERRORONRUNMSG']._serialized_start=29934
+  _globals['_INTERNALERRORONRUNMSG']._serialized_end=30046
+  _globals['_GENERICEXCEPTIONONRUN']._serialized_start=30048
+  _globals['_GENERICEXCEPTIONONRUN']._serialized_end=30165
+  _globals['_GENERICEXCEPTIONONRUNMSG']._serialized_start=30167
+  _globals['_GENERICEXCEPTIONONRUNMSG']._serialized_end=30285
+  _globals['_NODECONNECTIONRELEASEERROR']._serialized_start=30287
+  _globals['_NODECONNECTIONRELEASEERROR']._serialized_end=30365
+  _globals['_NODECONNECTIONRELEASEERRORMSG']._serialized_start=30368
+  _globals['_NODECONNECTIONRELEASEERRORMSG']._serialized_end=30496
+  _globals['_FOUNDSTATS']._serialized_start=30498
+  _globals['_FOUNDSTATS']._serialized_end=30529
+  _globals['_FOUNDSTATSMSG']._serialized_start=30531
+  _globals['_FOUNDSTATSMSG']._serialized_end=30627
+  _globals['_MAINKEYBOARDINTERRUPT']._serialized_start=30629
+  _globals['_MAINKEYBOARDINTERRUPT']._serialized_end=30652
+  _globals['_MAINKEYBOARDINTERRUPTMSG']._serialized_start=30654
+  _globals['_MAINKEYBOARDINTERRUPTMSG']._serialized_end=30772
+  _globals['_MAINENCOUNTEREDERROR']._serialized_start=30774
+  _globals['_MAINENCOUNTEREDERROR']._serialized_end=30809
+  _globals['_MAINENCOUNTEREDERRORMSG']._serialized_start=30811
+  _globals['_MAINENCOUNTEREDERRORMSG']._serialized_end=30927
+  _globals['_MAINSTACKTRACE']._serialized_start=30929
+  _globals['_MAINSTACKTRACE']._serialized_end=30966
+  _globals['_MAINSTACKTRACEMSG']._serialized_start=30968
+  _globals['_MAINSTACKTRACEMSG']._serialized_end=31072
+  _globals['_TIMINGINFOCOLLECTED']._serialized_start=31074
+  _globals['_TIMINGINFOCOLLECTED']._serialized_end=31186
+  _globals['_TIMINGINFOCOLLECTEDMSG']._serialized_start=31188
+  _globals['_TIMINGINFOCOLLECTEDMSG']._serialized_end=31302
+  _globals['_LOGDEBUGSTACKTRACE']._serialized_start=31304
+  _globals['_LOGDEBUGSTACKTRACE']._serialized_end=31342
+  _globals['_LOGDEBUGSTACKTRACEMSG']._serialized_start=31344
+  _globals['_LOGDEBUGSTACKTRACEMSG']._serialized_end=31456
+  _globals['_CHECKCLEANPATH']._serialized_start=31458
+  _globals['_CHECKCLEANPATH']._serialized_end=31488
+  _globals['_CHECKCLEANPATHMSG']._serialized_start=31490
+  _globals['_CHECKCLEANPATHMSG']._serialized_end=31594
+  _globals['_CONFIRMCLEANPATH']._serialized_start=31596
+  _globals['_CONFIRMCLEANPATH']._serialized_end=31628
+  _globals['_CONFIRMCLEANPATHMSG']._serialized_start=31630
+  _globals['_CONFIRMCLEANPATHMSG']._serialized_end=31738
+  _globals['_PROTECTEDCLEANPATH']._serialized_start=31740
+  _globals['_PROTECTEDCLEANPATH']._serialized_end=31774
+  _globals['_PROTECTEDCLEANPATHMSG']._serialized_start=31776
+  _globals['_PROTECTEDCLEANPATHMSG']._serialized_end=31888
+  _globals['_FINISHEDCLEANPATHS']._serialized_start=31890
+  _globals['_FINISHEDCLEANPATHS']._serialized_end=31910
+  _globals['_FINISHEDCLEANPATHSMSG']._serialized_start=31912
+  _globals['_FINISHEDCLEANPATHSMSG']._serialized_end=32024
+  _globals['_OPENCOMMAND']._serialized_start=32026
+  _globals['_OPENCOMMAND']._serialized_end=32079
+  _globals['_OPENCOMMANDMSG']._serialized_start=32081
+  _globals['_OPENCOMMANDMSG']._serialized_end=32179
+  _globals['_SERVINGDOCSPORT']._serialized_start=32181
+  _globals['_SERVINGDOCSPORT']._serialized_end=32229
+  _globals['_SERVINGDOCSPORTMSG']._serialized_start=32231
+  _globals['_SERVINGDOCSPORTMSG']._serialized_end=32337
+  _globals['_SERVINGDOCSACCESSINFO']._serialized_start=32339
+  _globals['_SERVINGDOCSACCESSINFO']._serialized_end=32376
+  _globals['_SERVINGDOCSACCESSINFOMSG']._serialized_start=32378
+  _globals['_SERVINGDOCSACCESSINFOMSG']._serialized_end=32496
+  _globals['_SERVINGDOCSEXITINFO']._serialized_start=32498
+  _globals['_SERVINGDOCSEXITINFO']._serialized_end=32519
+  _globals['_SERVINGDOCSEXITINFOMSG']._serialized_start=32521
+  _globals['_SERVINGDOCSEXITINFOMSG']._serialized_end=32635
+  _globals['_RUNRESULTWARNING']._serialized_start=32638
+  _globals['_RUNRESULTWARNING']._serialized_end=32789
+  _globals['_RUNRESULTWARNINGMSG']._serialized_start=32791
+  _globals['_RUNRESULTWARNINGMSG']._serialized_end=32899
+  _globals['_RUNRESULTFAILURE']._serialized_start=32902
+  _globals['_RUNRESULTFAILURE']._serialized_end=33053
+  _globals['_RUNRESULTFAILUREMSG']._serialized_start=33055
+  _globals['_RUNRESULTFAILUREMSG']._serialized_end=33163
+  _globals['_STATSLINE']._serialized_start=33165
+  _globals['_STATSLINE']._serialized_end=33272
+  _globals['_STATSLINE_STATSENTRY']._serialized_start=33228
+  _globals['_STATSLINE_STATSENTRY']._serialized_end=33272
+  _globals['_STATSLINEMSG']._serialized_start=33274
+  _globals['_STATSLINEMSG']._serialized_end=33368
+  _globals['_RUNRESULTERROR']._serialized_start=33370
+  _globals['_RUNRESULTERROR']._serialized_end=33476
+  _globals['_RUNRESULTERRORMSG']._serialized_start=33478
+  _globals['_RUNRESULTERRORMSG']._serialized_end=33582
+  _globals['_RUNRESULTERRORNOMESSAGE']._serialized_start=33584
+  _globals['_RUNRESULTERRORNOMESSAGE']._serialized_end=33667
+  _globals['_RUNRESULTERRORNOMESSAGEMSG']._serialized_start=33669
+  _globals['_RUNRESULTERRORNOMESSAGEMSG']._serialized_end=33791
+  _globals['_SQLCOMPILEDPATH']._serialized_start=33793
+  _globals['_SQLCOMPILEDPATH']._serialized_end=33866
+  _globals['_SQLCOMPILEDPATHMSG']._serialized_start=33868
+  _globals['_SQLCOMPILEDPATHMSG']._serialized_end=33974
+  _globals['_CHECKNODETESTFAILURE']._serialized_start=33976
+  _globals['_CHECKNODETESTFAILURE']._serialized_end=34063
+  _globals['_CHECKNODETESTFAILUREMSG']._serialized_start=34065
+  _globals['_CHECKNODETESTFAILUREMSG']._serialized_end=34181
+  _globals['_ENDOFRUNSUMMARY']._serialized_start=34183
+  _globals['_ENDOFRUNSUMMARY']._serialized_end=34299
+  _globals['_ENDOFRUNSUMMARYMSG']._serialized_start=34301
+  _globals['_ENDOFRUNSUMMARYMSG']._serialized_end=34407
+  _globals['_MARKSKIPPEDCHILDREN']._serialized_start=34409
+  _globals['_MARKSKIPPEDCHILDREN']._serialized_end=34512
+  _globals['_MARKSKIPPEDCHILDRENMSG']._serialized_start=34514
+  _globals['_MARKSKIPPEDCHILDRENMSG']._serialized_end=34628
+  _globals['_LOGSKIPBECAUSEERROR']._serialized_start=34630
+  _globals['_LOGSKIPBECAUSEERROR']._serialized_end=34731
+  _globals['_LOGSKIPBECAUSEERRORMSG']._serialized_start=34733
+  _globals['_LOGSKIPBECAUSEERRORMSG']._serialized_end=34847
+  _globals['_ENSUREGITINSTALLED']._serialized_start=34849
+  _globals['_ENSUREGITINSTALLED']._serialized_end=34869
+  _globals['_ENSUREGITINSTALLEDMSG']._serialized_start=34871
+  _globals['_ENSUREGITINSTALLEDMSG']._serialized_end=34983
+  _globals['_DEPSCREATINGLOCALSYMLINK']._serialized_start=34985
+  _globals['_DEPSCREATINGLOCALSYMLINK']._serialized_end=35011
+  _globals['_DEPSCREATINGLOCALSYMLINKMSG']._serialized_start=35013
+  _globals['_DEPSCREATINGLOCALSYMLINKMSG']._serialized_end=35137
+  _globals['_DEPSSYMLINKNOTAVAILABLE']._serialized_start=35139
+  _globals['_DEPSSYMLINKNOTAVAILABLE']._serialized_end=35164
+  _globals['_DEPSSYMLINKNOTAVAILABLEMSG']._serialized_start=35166
+  _globals['_DEPSSYMLINKNOTAVAILABLEMSG']._serialized_end=35288
+  _globals['_DISABLETRACKING']._serialized_start=35290
+  _globals['_DISABLETRACKING']._serialized_end=35307
+  _globals['_DISABLETRACKINGMSG']._serialized_start=35309
+  _globals['_DISABLETRACKINGMSG']._serialized_end=35415
+  _globals['_SENDINGEVENT']._serialized_start=35417
+  _globals['_SENDINGEVENT']._serialized_end=35447
+  _globals['_SENDINGEVENTMSG']._serialized_start=35449
+  _globals['_SENDINGEVENTMSG']._serialized_end=35549
+  _globals['_SENDEVENTFAILURE']._serialized_start=35551
+  _globals['_SENDEVENTFAILURE']._serialized_end=35569
+  _globals['_SENDEVENTFAILUREMSG']._serialized_start=35571
+  _globals['_SENDEVENTFAILUREMSG']._serialized_end=35679
+  _globals['_FLUSHEVENTS']._serialized_start=35681
+  _globals['_FLUSHEVENTS']._serialized_end=35694
+  _globals['_FLUSHEVENTSMSG']._serialized_start=35696
+  _globals['_FLUSHEVENTSMSG']._serialized_end=35794
+  _globals['_FLUSHEVENTSFAILURE']._serialized_start=35796
+  _globals['_FLUSHEVENTSFAILURE']._serialized_end=35816
+  _globals['_FLUSHEVENTSFAILUREMSG']._serialized_start=35818
+  _globals['_FLUSHEVENTSFAILUREMSG']._serialized_end=35930
+  _globals['_TRACKINGINITIALIZEFAILURE']._serialized_start=35932
+  _globals['_TRACKINGINITIALIZEFAILURE']._serialized_end=35977
+  _globals['_TRACKINGINITIALIZEFAILUREMSG']._serialized_start=35979
+  _globals['_TRACKINGINITIALIZEFAILUREMSG']._serialized_end=36105
+  _globals['_RUNRESULTWARNINGMESSAGE']._serialized_start=36107
+  _globals['_RUNRESULTWARNINGMESSAGE']._serialized_end=36187
+  _globals['_RUNRESULTWARNINGMESSAGEMSG']._serialized_start=36189
+  _globals['_RUNRESULTWARNINGMESSAGEMSG']._serialized_end=36311
+  _globals['_DEBUGCMDOUT']._serialized_start=36313
+  _globals['_DEBUGCMDOUT']._serialized_end=36339
+  _globals['_DEBUGCMDOUTMSG']._serialized_start=36341
+  _globals['_DEBUGCMDOUTMSG']._serialized_end=36439
+  _globals['_DEBUGCMDRESULT']._serialized_start=36441
+  _globals['_DEBUGCMDRESULT']._serialized_end=36470
+  _globals['_DEBUGCMDRESULTMSG']._serialized_start=36472
+  _globals['_DEBUGCMDRESULTMSG']._serialized_end=36576
+  _globals['_LISTCMDOUT']._serialized_start=36578
+  _globals['_LISTCMDOUT']._serialized_end=36603
+  _globals['_LISTCMDOUTMSG']._serialized_start=36605
+  _globals['_LISTCMDOUTMSG']._serialized_end=36701
+  _globals['_RESOURCEREPORT']._serialized_start=36704
+  _globals['_RESOURCEREPORT']._serialized_end=36940
+  _globals['_RESOURCEREPORTMSG']._serialized_start=36942
+  _globals['_RESOURCEREPORTMSG']._serialized_end=37046
 # @@protoc_insertion_point(module_scope)
diff --git a/core/dbt/events/types.py b/core/dbt/events/types.py
index 85d2df355ae..5770a6518ad 100644
--- a/core/dbt/events/types.py
+++ b/core/dbt/events/types.py
@@ -1710,6 +1710,51 @@ def message(self) -> str:
         return self.msg
 
 
+class LogStartBatch(InfoLevel):
+    def code(self) -> str:
+        return "Q045"
+
+    def message(self) -> str:
+        msg = f"START {self.description}"
+
+        # TODO update common so that we can append "batch" in `format_fancy_output_line`
+        formatted = format_fancy_output_line(
+            msg=msg,
+            status="RUN",
+            index=self.batch_index,
+            total=self.total_batches,
+        )
+        return f"Batch {formatted}"
+
+
+class LogBatchResult(DynamicLevel):
+    def code(self) -> str:
+        return "Q046"
+
+    def message(self) -> str:
+        if self.status == "error":
+            info = "ERROR creating"
+            status = red(self.status.upper())
+        elif self.status == "skipped":
+            info = "SKIP"
+            status = yellow(self.status.upper())
+        else:
+            info = "OK created"
+            status = green(self.status)
+
+        msg = f"{info} {self.description}"
+
+        # TODO update common so that we can append "batch" in `format_fancy_output_line`
+        formatted = format_fancy_output_line(
+            msg=msg,
+            status=status,
+            index=self.batch_index,
+            total=self.total_batches,
+            execution_time=self.execution_time,
+        )
+        return f"Batch {formatted}"
+
+
 # =======================================================
 # W - Node testing
 # =======================================================
diff --git a/core/dbt/task/run.py b/core/dbt/task/run.py
index b9cf7e22a08..649c58a1468 100644
--- a/core/dbt/task/run.py
+++ b/core/dbt/task/run.py
@@ -30,9 +30,11 @@
 from dbt.contracts.graph.nodes import BatchContext, HookNode, ModelNode, ResultNode
 from dbt.events.types import (
     GenericExceptionOnRun,
+    LogBatchResult,
     LogHookEndLine,
     LogHookStartLine,
     LogModelResult,
+    LogStartBatch,
     LogStartLine,
     MicrobatchExecutionDebug,
 )
@@ -397,15 +399,18 @@ def print_batch_result_line(
         if result.status == NodeStatus.Error:
             status = result.status
             level = EventLevel.ERROR
+        elif result.status == NodeStatus.Skipped:
+            status = result.status
+            level = EventLevel.INFO
         else:
             status = result.message
             level = EventLevel.INFO
         fire_event(
-            LogModelResult(
+            LogBatchResult(
                 description=description,
                 status=status,
-                index=self.batch_idx + 1,
-                total=len(self.batches),
+                batch_index=self.batch_idx + 1,
+                total_batches=len(self.batches),
                 execution_time=result.execution_time,
                 node_info=self.node.node_info,
                 group=group,
@@ -423,10 +428,10 @@ def print_batch_start_line(self) -> None:
 
         batch_description = self.describe_batch(batch_start)
         fire_event(
-            LogStartLine(
+            LogStartBatch(
                 description=batch_description,
-                index=self.batch_idx + 1,
-                total=len(self.batches),
+                batch_index=self.batch_idx + 1,
+                total_batches=len(self.batches),
                 node_info=self.node.node_info,
             )
         )
@@ -472,6 +477,25 @@ def merge_batch_results(self, result: RunResult, batch_results: List[RunResult])
         if self.node.previous_batch_results is not None:
             result.batch_results.successful += self.node.previous_batch_results.successful
 
+    def on_skip(self):
+        # If node.batch is None, then we're dealing with skipping of the entire node
+        if self.batch_idx is None:
+            return super().on_skip()
+        else:
+            result = RunResult(
+                node=self.node,
+                status=RunStatus.Skipped,
+                timing=[],
+                thread_id=threading.current_thread().name,
+                execution_time=0.0,
+                message="SKIPPED",
+                adapter_response={},
+                failures=1,
+                batch_results=BatchResults(failed=[self.batches[self.batch_idx]]),
+            )
+            self.print_batch_result_line(result=result)
+            return result
+
     def _build_succesful_run_batch_result(
         self,
         model: ModelNode,
@@ -602,13 +626,10 @@ def _has_relation(self, model) -> bool:
         )
         return relation is not None
 
-    def _should_run_in_parallel(
-        self,
-        relation_exists: bool,
-    ) -> bool:
+    def should_run_in_parallel(self) -> bool:
         if not self.adapter.supports(Capability.MicrobatchConcurrency):
             run_in_parallel = False
-        elif not relation_exists:
+        elif not self.relation_exists:
             # If the relation doesn't exist, we can't run in parallel
             run_in_parallel = False
         elif self.node.config.concurrent_batches is not None:
@@ -703,52 +724,122 @@ def handle_microbatch_model(
         runner: MicrobatchModelRunner,
         pool: ThreadPool,
     ) -> RunResult:
-        # Initial run computes batch metadata, unless model is skipped
+        # Initial run computes batch metadata
         result = self.call_runner(runner)
+        batches, node, relation_exists = runner.batches, runner.node, runner.relation_exists
+
+        # Return early if model should be skipped, or there are no batches to execute
         if result.status == RunStatus.Skipped:
             return result
+        elif len(runner.batches) == 0:
+            return result
 
         batch_results: List[RunResult] = []
-
-        # Execute batches serially until a relation exists, at which point future batches are run in parallel
-        relation_exists = runner.relation_exists
         batch_idx = 0
-        while batch_idx < len(runner.batches):
-            batch_runner = MicrobatchModelRunner(
-                self.config, runner.adapter, deepcopy(runner.node), self.run_count, self.num_nodes
-            )
-            batch_runner.set_batch_idx(batch_idx)
-            batch_runner.set_relation_exists(relation_exists)
-            batch_runner.set_batches(runner.batches)
-
-            if runner._should_run_in_parallel(relation_exists):
-                fire_event(
-                    MicrobatchExecutionDebug(
-                        msg=f"{batch_runner.describe_batch} is being run concurrently"
-                    )
-                )
-                self._submit(pool, [batch_runner], batch_results.append)
-            else:
-                fire_event(
-                    MicrobatchExecutionDebug(
-                        msg=f"{batch_runner.describe_batch} is being run sequentially"
-                    )
-                )
-                batch_results.append(self.call_runner(batch_runner))
-                relation_exists = batch_runner.relation_exists
 
+        # Run first batch not in parallel
+        relation_exists = self._submit_batch(
+            node=node,
+            adapter=runner.adapter,
+            relation_exists=relation_exists,
+            batches=batches,
+            batch_idx=batch_idx,
+            batch_results=batch_results,
+            pool=pool,
+            force_sequential_run=True,
+        )
+        batch_idx += 1
+        skip_batches = batch_results[0].status != RunStatus.Success
+
+        # Run all batches except first and last batch, in parallel if possible
+        while batch_idx < len(runner.batches) - 1:
+            relation_exists = self._submit_batch(
+                node=node,
+                adapter=runner.adapter,
+                relation_exists=relation_exists,
+                batches=batches,
+                batch_idx=batch_idx,
+                batch_results=batch_results,
+                pool=pool,
+                skip=skip_batches,
+            )
             batch_idx += 1
 
-        # Wait until all batches have completed
-        while len(batch_results) != len(runner.batches):
+        # Wait until all submitted batches have completed
+        while len(batch_results) != batch_idx:
             pass
+        # Final batch runs once all others complete to ensure post_hook runs at the end
+        self._submit_batch(
+            node=node,
+            adapter=runner.adapter,
+            relation_exists=relation_exists,
+            batches=batches,
+            batch_idx=batch_idx,
+            batch_results=batch_results,
+            pool=pool,
+            force_sequential_run=True,
+            skip=skip_batches,
+        )
 
+        # Finalize run: merge results, track model run, and print final result line
         runner.merge_batch_results(result, batch_results)
         track_model_run(runner.node_index, runner.num_nodes, result, adapter=runner.adapter)
         runner.print_result_line(result)
 
         return result
 
+    def _submit_batch(
+        self,
+        node: ModelNode,
+        adapter: BaseAdapter,
+        relation_exists: bool,
+        batches: Dict[int, BatchType],
+        batch_idx: int,
+        batch_results: List[RunResult],
+        pool: ThreadPool,
+        force_sequential_run: bool = False,
+        skip: bool = False,
+    ):
+        node_copy = deepcopy(node)
+        # Only run pre_hook(s) for first batch
+        if batch_idx != 0:
+            node_copy.config.pre_hook = []
+
+        # Only run post_hook(s) for last batch
+        if batch_idx != len(batches) - 1:
+            node_copy.config.post_hook = []
+
+        # TODO: We should be doing self.get_runner, however doing so
+        # currently causes the tracking of how many nodes there are to
+        # increment when we don't want it to
+        batch_runner = MicrobatchModelRunner(
+            self.config, adapter, node_copy, self.run_count, self.num_nodes
+        )
+        batch_runner.set_batch_idx(batch_idx)
+        batch_runner.set_relation_exists(relation_exists)
+        batch_runner.set_batches(batches)
+
+        if skip:
+            batch_runner.do_skip()
+
+        if not force_sequential_run and batch_runner.should_run_in_parallel():
+            fire_event(
+                MicrobatchExecutionDebug(
+                    msg=f"{batch_runner.describe_batch} is being run concurrently"
+                )
+            )
+            self._submit(pool, [batch_runner], batch_results.append)
+        else:
+            fire_event(
+                MicrobatchExecutionDebug(
+                    msg=f"{batch_runner.describe_batch} is being run sequentially"
+                )
+            )
+            batch_results.append(self.call_runner(batch_runner))
+            relation_exists = batch_runner.relation_exists
+
+        return relation_exists
+
     def _hook_keyfunc(self, hook: HookNode) -> Tuple[str, Optional[int]]:
         package_name = hook.package_name
         if package_name == self.config.project_name:
diff --git a/tests/functional/microbatch/test_microbatch.py b/tests/functional/microbatch/test_microbatch.py
index e3acc415273..6d3eb960b76 100644
--- a/tests/functional/microbatch/test_microbatch.py
+++ b/tests/functional/microbatch/test_microbatch.py
@@ -7,6 +7,8 @@
     ArtifactWritten,
     EndOfRunSummary,
     GenericExceptionOnRun,
+    JinjaLogDebug,
+    LogBatchResult,
     LogModelResult,
     MicrobatchExecutionDebug,
     MicrobatchMacroOutsideOfBatchesDeprecation,
@@ -54,6 +56,21 @@
 select * from {{ ref('input_model') }}
 """
 
+microbatch_model_with_pre_and_post_sql = """
+{{ config(
+        materialized='incremental',
+        incremental_strategy='microbatch',
+        unique_key='id',
+        event_time='event_time',
+        batch_size='day',
+        begin=modules.datetime.datetime(2020, 1, 1, 0, 0, 0),
+        pre_hook='{{log("execute: " ~ execute ~ ", pre-hook run by batch " ~ model.batch.id)}}',
+        post_hook='{{log("execute: " ~ execute ~ ", post-hook run by batch " ~ model.batch.id)}}',
+    )
+}}
+select * from {{ ref('input_model') }}
+"""
+
 microbatch_yearly_model_sql = """
 {{ config(materialized='incremental', incremental_strategy='microbatch', unique_key='id', event_time='event_time', batch_size='year', begin=modules.datetime.datetime(2020, 1, 1, 0, 0, 0)) }}
 select * from {{ ref('input_model') }}
@@ -273,15 +290,18 @@ class TestMicrobatchCLI(BaseMicrobatchTest):
 
     def test_run_with_event_time(self, project):
         # run without --event-time-start or --event-time-end - 3 expected rows in output
-        catcher = EventCatcher(event_to_catch=LogModelResult)
+
+        model_catcher = EventCatcher(event_to_catch=LogModelResult)
+        batch_catcher = EventCatcher(event_to_catch=LogBatchResult)
 
         with patch_microbatch_end_time("2020-01-03 13:57:00"):
-            run_dbt([self.CLI_COMMAND_NAME], callbacks=[catcher.catch])
+            run_dbt([self.CLI_COMMAND_NAME], callbacks=[model_catcher.catch, batch_catcher.catch])
         self.assert_row_count(project, "microbatch_model", 3)
 
-        assert len(catcher.caught_events) == 5
+        assert len(model_catcher.caught_events) == 2
+        assert len(batch_catcher.caught_events) == 3
         batch_creation_events = 0
-        for caught_event in catcher.caught_events:
+        for caught_event in batch_catcher.caught_events:
             if "batch 2020" in caught_event.data.description:
                 batch_creation_events += 1
                 assert caught_event.data.execution_time > 0
@@ -666,6 +686,14 @@ def test_run_with_event_time(self, project):
 select * from {{ ref('input_model') }}
 """
 
+microbatch_model_second_batch_failing_sql = """
+{{ config(materialized='incremental', incremental_strategy='microbatch', unique_key='id', event_time='event_time', batch_size='day', begin=modules.datetime.datetime(2020, 1, 1, 0, 0, 0)) }}
+{% if '20200102' == model.batch.id %}
+ invalid_sql
+{% endif %}
+select * from {{ ref('input_model') }}
+"""
+
 
 class TestMicrobatchInitialBatchFailure(BaseMicrobatchTest):
     @pytest.fixture(scope="class")
@@ -675,6 +703,47 @@ def models(self):
             "microbatch_model.sql": microbatch_model_first_partition_failing_sql,
         }
 
+    def test_run_with_event_time(self, project):
+        # When the first batch of a microbatch model fails, the rest of the batches should
+        # be skipped and the model marked as failed (not _partial success_)
+
+        general_exc_catcher = EventCatcher(
+            GenericExceptionOnRun,
+            predicate=lambda event: event.data.node_info is not None,
+        )
+        batch_catcher = EventCatcher(
+            event_to_catch=LogBatchResult,
+            predicate=lambda event: event.data.status == "skipped",
+        )
+
+        # run all partitions from start - 2 expected rows in output, one failed
+        with patch_microbatch_end_time("2020-01-03 13:57:00"):
+            run_dbt(
+                ["run"],
+                expect_pass=False,
+                callbacks=[general_exc_catcher.catch, batch_catcher.catch],
+            )
+
+        assert len(general_exc_catcher.caught_events) == 1
+        assert len(batch_catcher.caught_events) == 2
+
+        # Because the first batch failed, and the rest of the batches were skipped, the table shouldn't
+        # exist in the data warehosue
+        relation_info = relation_from_name(project.adapter, "microbatch_model")
+        relation = project.adapter.get_relation(
+            relation_info.database, relation_info.schema, relation_info.name
+        )
+        assert relation is None
+
+
+class TestMicrobatchSecondBatchFailure(BaseMicrobatchTest):
+    @pytest.fixture(scope="class")
+    def models(self):
+        return {
+            "input_model.sql": input_model_sql,
+            "microbatch_model.sql": microbatch_model_second_batch_failing_sql,
+        }
+
     def test_run_with_event_time(self, project):
         event_catcher = EventCatcher(
             GenericExceptionOnRun, predicate=lambda event: event.data.node_info is not None
@@ -875,7 +944,7 @@ def batch_exc_catcher(self) -> EventCatcher:
     def test_microbatch(
         self, mocker: MockerFixture, project, batch_exc_catcher: EventCatcher
     ) -> None:
-        mocked_srip = mocker.patch("dbt.task.run.MicrobatchModelRunner._should_run_in_parallel")
+        mocked_srip = mocker.patch("dbt.task.run.MicrobatchModelRunner.should_run_in_parallel")
 
         # Should be run in parallel
         mocked_srip.return_value = True
@@ -905,3 +974,100 @@ def test_microbatch(
                 some_batches_run_concurrently = True
                 break
         assert not some_batches_run_concurrently, "Found a batch being run concurrently!"
+
+
+class TestFirstAndLastBatchAlwaysSequential(BaseMicrobatchTest):
+    @pytest.fixture
+    def batch_exc_catcher(self) -> EventCatcher:
+        return EventCatcher(MicrobatchExecutionDebug)  # type: ignore
+
+    def test_microbatch(
+        self, mocker: MockerFixture, project, batch_exc_catcher: EventCatcher
+    ) -> None:
+        mocked_srip = mocker.patch("dbt.task.run.MicrobatchModelRunner.should_run_in_parallel")
+
+        # Should be run in parallel
+        mocked_srip.return_value = True
+        with patch_microbatch_end_time("2020-01-03 13:57:00"):
+            _ = run_dbt(["run"], callbacks=[batch_exc_catcher.catch])
+
+        assert len(batch_exc_catcher.caught_events) > 1
+
+        first_batch_event = batch_exc_catcher.caught_events[0]
+        last_batch_event = batch_exc_catcher.caught_events[-1]
+
+        for event in [first_batch_event, last_batch_event]:
+            assert "is being run sequentially" in event.data.msg  # type: ignore
+
+        for event in batch_exc_catcher.caught_events[1:-1]:
+            assert "is being run concurrently" in event.data.msg  # type: ignore
+
+
+class TestFirstBatchRunsPreHookLastBatchRunsPostHook(BaseMicrobatchTest):
+    @pytest.fixture(scope="class")
+    def models(self):
+        return {
+            "input_model.sql": input_model_sql,
+            "microbatch_model.sql": microbatch_model_with_pre_and_post_sql,
+        }
+
+    @pytest.fixture
+    def batch_log_catcher(self) -> EventCatcher:
+        def pre_or_post_hook(event) -> bool:
+            return "execute: True" in event.data.msg and (
+                "pre-hook" in event.data.msg or "post-hook" in event.data.msg
+            )
+
+        return EventCatcher(event_to_catch=JinjaLogDebug, predicate=pre_or_post_hook)  # type: ignore
+
+    def test_microbatch(
+        self, mocker: MockerFixture, project, batch_log_catcher: EventCatcher
+    ) -> None:
+        with patch_microbatch_end_time("2020-01-04 13:57:00"):
+            _ = run_dbt(["run"], callbacks=[batch_log_catcher.catch])
+
+        # There should be two logs as the pre-hook and post-hook should
+        # both only be run once
+        assert len(batch_log_catcher.caught_events) == 2
+
+        for event in batch_log_catcher.caught_events:
+            # batch id that should be firing pre-hook
+            if "20200101" in event.data.msg:  # type: ignore
+                assert "pre-hook" in event.data.msg  # type: ignore
+
+            # batch id that should be firing the post-hook
+            if "20200104" in event.data.msg:  # type: ignore
+                assert "post-hook" in event.data.msg  # type: ignore
+
+
+class TestWhenOnlyOneBatchRunBothPostAndPreHooks(BaseMicrobatchTest):
+    @pytest.fixture(scope="class")
+    def models(self):
+        return {
+            "input_model.sql": input_model_sql,
+            "microbatch_model.sql": microbatch_model_with_pre_and_post_sql,
+        }
+
+    @pytest.fixture
+    def batch_log_catcher(self) -> EventCatcher:
+        def pre_or_post_hook(event) -> bool:
+            return "execute: True" in event.data.msg and (
+                "pre-hook" in event.data.msg or "post-hook" in event.data.msg
+            )
+
+        return EventCatcher(event_to_catch=JinjaLogDebug, predicate=pre_or_post_hook)  # type: ignore
+
+    def test_microbatch(
+        self, mocker: MockerFixture, project, batch_log_catcher: EventCatcher
+    ) -> None:
+        with patch_microbatch_end_time("2020-01-01 13:57:00"):
+            _ = run_dbt(["run"], callbacks=[batch_log_catcher.catch])
+
+        # There should be two logs as the pre-hook and post-hook should
+        # both only be run once
+        assert len(batch_log_catcher.caught_events) == 2
+
+        assert "20200101" in batch_log_catcher.caught_events[0].data.msg  # type: ignore
+        assert "pre-hook" in batch_log_catcher.caught_events[0].data.msg  # type: ignore
+        assert "20200101" in batch_log_catcher.caught_events[1].data.msg  # type: ignore
+        assert "post-hook" in batch_log_catcher.caught_events[1].data.msg  # type: ignore
diff --git a/tests/unit/task/test_run.py b/tests/unit/task/test_run.py
index b33e6f57ffe..b28ac505a7f 100644
--- a/tests/unit/task/test_run.py
+++ b/tests/unit/task/test_run.py
@@ -264,7 +264,7 @@ class Relation:
             (False, False, False, True, False),
         ],
     )
-    def test__should_run_in_parallel(
+    def test_should_run_in_parallel(
         self,
         mocker: MockerFixture,
         model_runner: MicrobatchModelRunner,
@@ -276,11 +276,13 @@ def test__should_run_in_parallel(
     ) -> None:
         model_runner.node._has_this = has_this
         model_runner.node.config = ModelConfig(concurrent_batches=concurrent_batches)
+        model_runner.set_relation_exists(has_relation)
+
         mocked_supports = mocker.patch.object(model_runner.adapter, "supports")
         mocked_supports.return_value = adapter_microbatch_concurrency
 
-        # Assert result of _should_run_in_parallel
-        assert model_runner._should_run_in_parallel(has_relation) == expectation
+        # Assert result of should_run_in_parallel
+        assert model_runner.should_run_in_parallel() == expectation
 
 
 class TestRunTask:
diff --git a/tests/unit/test_events.py b/tests/unit/test_events.py
index e336ad139ff..3d8dfb76916 100644
--- a/tests/unit/test_events.py
+++ b/tests/unit/test_events.py
@@ -421,6 +421,14 @@ def test_event_codes(self):
         snapshot_time_data_type="DATETIME", updated_at_data_type="DATETIMEZ"
     ),
     core_types.MicrobatchExecutionDebug(msg=""),
+    core_types.LogStartBatch(description="", batch_index=0, total_batches=0),
+    core_types.LogBatchResult(
+        description="",
+        status="",
+        batch_index=0,
+        total_batches=0,
+        execution_time=0,
+    ),
     # W - Node testing ======================
     core_types.CatchableExceptionOnRun(exc=""),
     core_types.InternalErrorOnRun(build_path="", exc=""),