convert to use struct logging for adapters

CHANGELOG.md

@@ -11,6 +11,9 @@
 - Add support for `on_schema_change` config in incremental models: `ignore`, `fail`, `append_new_columns`. For `sync_all_columns`, removing columns is not supported by Apache Spark or Delta Lake ([#198](https://github.com/dbt-labs/dbt-spark/issues/198), [#226](https://github.com/dbt-labs/dbt-spark/issues/226), [#229](https://github.com/dbt-labs/dbt-spark/pull/229))
 - Add `persist_docs` call to incremental model ([#224](https://github.com/dbt-labs/dbt-spark/issues/224), [#234](https://github.com/dbt-labs/dbt-spark/pull/234))
 
+### Under the hood
+- Add support for structured logging [#251](https://github.com/dbt-labs/dbt-spark/pull/251)
+
 ### Contributors
 - [@binhnefits](https://github.com/binhnefits) ([#234](https://github.com/dbt-labs/dbt-spark/pull/234))
 

dbt/adapters/spark/connections.py

@@ -4,7 +4,7 @@
 from dbt.adapters.base import Credentials
 from dbt.adapters.sql import SQLConnectionManager
 from dbt.contracts.connection import ConnectionState
-from dbt.logger import GLOBAL_LOGGER as logger
+from dbt.events import AdapterLogger
 from dbt.utils import DECIMALS
 from dbt.adapters.spark import __version__
 
@@ -42,6 +42,8 @@
 import base64
 import time
 
+logger = AdapterLogger("Spark")
+
 NUMBERS = DECIMALS + (int, float)
 
 

dbt/adapters/spark/impl.py

@@ -16,9 +16,11 @@
 from dbt.adapters.spark import SparkColumn
 from dbt.adapters.base import BaseRelation
 from dbt.clients.agate_helper import DEFAULT_TYPE_TESTER
-from dbt.logger import GLOBAL_LOGGER as logger
+from dbt.events import AdapterLogger
 from dbt.utils import executor
 
+logger = AdapterLogger("Spark")
+
 GET_COLUMNS_IN_RELATION_MACRO_NAME = 'get_columns_in_relation'
 LIST_SCHEMAS_MACRO_NAME = 'list_schemas'
 LIST_RELATIONS_MACRO_NAME = 'list_relations_without_caching'

tests/integration/base.py

@@ -23,9 +23,15 @@
 from dbt.clients.jinja import template_cache
 from dbt.config import RuntimeConfig
 from dbt.context import providers
-from dbt.logger import GLOBAL_LOGGER as logger, log_manager
+from dbt.logger import log_manager
+from dbt.events.functions import (
+    capture_stdout_logs, fire_event, setup_event_logger, stop_capture_stdout_logs
+)
+from dbt.events import AdapterLogger
 from dbt.contracts.graph.manifest import Manifest
 
+logger = AdapterLogger("Spark")
+
 INITIAL_ROOT = os.getcwd()
 
 
@@ -269,6 +275,7 @@ def setUp(self):
         os.chdir(self.initial_dir)
         # before we go anywhere, collect the initial path info
         self._logs_dir = os.path.join(self.initial_dir, 'logs', self.prefix)
+        setup_event_logger(self._logs_dir)
         _really_makedirs(self._logs_dir)
         self.test_original_source_path = _pytest_get_test_root()
         self.test_root_dir = self._generate_test_root_dir()
@@ -439,16 +446,12 @@ def run_dbt(self, args=None, expect_pass=True, profiles_dir=True):
 
     def run_dbt_and_capture(self, *args, **kwargs):
         try:
-            initial_stdout = log_manager.stdout
-            initial_stderr = log_manager.stderr
-            stringbuf = io.StringIO()
-            log_manager.set_output_stream(stringbuf)
-
+            stringbuf = capture_stdout_logs()
             res = self.run_dbt(*args, **kwargs)
             stdout = stringbuf.getvalue()
 
         finally:
-            log_manager.set_output_stream(initial_stdout, initial_stderr)
+            stop_capture_stdout_logs()
 
         return res, stdout