Fixed issue #4.

dbt's default batch size of 10,000 rows is far too long for SQL Server. I tried setting it to 800 rows, but the issues persisted. Dropping the batch size to 200 seems to have resolved the issue satisfactorally.
degreed · Aug 7, 2019 · 1b91eb9 · 1b91eb9
1 parent fffbdde
commit 1b91eb9
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diff --git a/dbt/include/mssql/macros/materializations/seed/seed.sql b/dbt/include/mssql/macros/materializations/seed/seed.sql
@@ -33,3 +33,7 @@
     {# Return SQL so we can render it out into the compiled files #}
     {{ return(statements[0]) }}
 {% endmacro %}
+
+{% macro mssql__load_csv_rows(model) %}
+  {{ return(basic_load_csv_rows(model, 200) )}}
+{% endmacro %}
diff --git a/setup.py b/setup.py
@@ -3,7 +3,7 @@
 from distutils.core import setup
 
 package_name = "dbt-mssql"
-package_version = "1.0.2"
+package_version = "1.0.3"
 description = """The mssql adpter plugin for dbt (data build tool)"""
 
 setup(