betodealmeida commented on a change in pull request #13448:
URL: https://github.com/apache/superset/pull/13448#discussion_r587796998



##########
File path: superset/examples/big_data.py
##########
@@ -0,0 +1,49 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from typing import List
+
+import sqlalchemy.sql.sqltypes
+
+from superset.utils.data import add_data, ColumnInfo
+
+COLUMN_TYPES = [
+    sqlalchemy.sql.sqltypes.INTEGER(),
+    sqlalchemy.sql.sqltypes.VARCHAR(length=255),
+    sqlalchemy.sql.sqltypes.TEXT(),
+    sqlalchemy.sql.sqltypes.BOOLEAN(),
+    sqlalchemy.sql.sqltypes.FLOAT(),
+    sqlalchemy.sql.sqltypes.DATE(),
+    sqlalchemy.sql.sqltypes.TIME(),
+    sqlalchemy.sql.sqltypes.DATETIME(),
+]
+
+
+def load_big_data() -> None:
+    # create table with 100 columns to test SQL Lab
+    columns: List[ColumnInfo] = []
+    for i in range(100):

Review comment:
       Right now we have only this one table, but I think eventually will have 
the command generating multiple tables, so passing arguments on the CLI would 
quickly become messy, IMHO.
   
   But I love the idea of configuring the tables being generated. Maybe we 
could create a mini DSL? For example:
   
   ```yaml
   # big_data.yaml
   tables
   - wide_table:
       name: wide_table
       table_count: 1
       row_count: 1000
       columns: 100
   - many_small_tables:
       name: small_table_{i}
       table_count: 1000
       row_count: 10
       columns:
           - id:
               type: INTEGER
               primary_key: true
           - value:
               type: FLOAT
   ```




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