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+# Prueba con Databricks
+## Creación del notebook
+#### Código
+El código pertenece al notebook de “spark-databricks”, pero ligeramente modificado para la correcta implementación de un job con un trigger.
+
+
+```
+dbutils.widgets.text("event_file_path", "")
+
+spark.sql(f"CREATE CATALOG IF NOT EXISTS catalogo")
+spark.sql(f"CREATE SCHEMA IF NOT EXISTS catalogo.esquema")
+spark.sql(f"USE CATALOG catalogo")
+spark.sql(f"USE esquema")
+spark.sql(f"CREATE VOLUME IF NOT EXISTS volumen")
+from pyspark.sql import functions as F
+
+
+base = (spark.range(1, 1000)
+    .withColumnRenamed('id', 'order_id')
+    .withColumn('customer_id', (F.col('order_id') % 120 + 1).cast('int'))
+    .withColumn('fecha', F.date_add(F.to_date(F.lit('2025-10-01')), (F.col('order_id') % 60).cast('int')))
+    .withColumn('country', F.when((F.col('order_id') % 4)==0, 'ES')
+                        .when((F.col('order_id') % 4)==1, 'PT')
+                        .when((F.col('order_id') % 4)==2, 'FR')
+                        .otherwise('DE'))
+    .withColumn('channel', F.when((F.col('order_id') % 3)==0, 'web')
+                        .when((F.col('order_id') % 3)==1, 'store')
+                        .otherwise('partner'))
+    )
+lines = (base
+        .withColumn('line_id', F.explode(F.array([F.lit(1), F.lit(2)])))
+        .withColumn('sku', F.concat(F.lit('SKU-'), F.lpad((F.col('order_id') % 80 + 1).cast('string'), 3, '0')))
+        .withColumn('qty', (F.col('line_id') + (F.col('order_id') % 4) + 1).cast('int'))
+        .withColumn('importe', (F.round((F.col('qty') * (F.col('order_id') % 50 + 10)) * 1.15, 2)).cast('double'))
+        .withColumn('archivo_origen', F.lit(dbutils.widgets.get("event_file_path"))))
+
+
+lines.write.mode("append").saveAsTable("test_schema")
+```
+
+
+## Creación del job
+Creamos el job como tipo Notebook, y añadimos el path del notebook que acabamos de crear.
+
+![Creación del job](imágenes_databricks/documentacion_trigger_filearrival-1.png)
+
+
+## Creación del trigger
+En el menú de la derecha, vamos a la opción de Schedules and Triggers, y clicamos en Add Trigger.
+
+![Creación del trigger](imágenes_databricks/documentacion_trigger_filearrival-2.png)
+
+
+
+
+En Trigger type elegimos File arrival.
+
+![Trigger type](imágenes_databricks/documentacion_trigger_filearrival-3.png)
+
+
+
+
+Y en Storage location añadimos la ruta al volumen.
+
+![Storage location](imágenes_databricks/documentacion_trigger_filearrival-4.png)
+
+## Comprobación del funcionamiento
+Subimos un archivo de prueba al volumen.
+
+![Subimos archivo](imágenes_databricks/documentacion_trigger_filearrival-5.png)
+
+
+
+
+Y esperamos a que se ejecute el trigger del job.
+
+![Ejecución](imágenes_databricks/documentacion_trigger_filearrival-6.png)
+
+
+
+
+Finalmente comprobamos que se ha creado una tabla nueva con la información del notebook.
+
+![Creación de la tabla](imágenes_databricks/documentacion_trigger_filearrival-7.png)
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