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edurdevic
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# Databricks notebook source | ||
# MAGIC %pip install dbl-discoverx | ||
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# COMMAND ---------- | ||
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dbutils.widgets.text("from_tables", "sample_data_discoverx.*.*") | ||
from_tables = dbutils.widgets.get("from_tables") | ||
dbutils.widgets.text("time_span", "1 day") | ||
time_span = dbutils.widgets.get("time_span") | ||
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# COMMAND ---------- | ||
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from discoverx import DX | ||
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dx = DX() | ||
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# COMMAND ---------- | ||
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# MAGIC %md | ||
# MAGIC ## Number of delta table versions per time period | ||
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# COMMAND ---------- | ||
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from pyspark.sql.functions import window, count | ||
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(dx | ||
.from_tables(from_tables) | ||
.with_sql("DESCRIBE HISTORY {full_table_name}") | ||
.apply() | ||
.groupBy("table_catalog", "table_schema", "table_name", window("timestamp", time_span)) | ||
.agg(count("*").alias("delta_versions_count")) | ||
.display() | ||
) | ||
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# COMMAND ---------- | ||
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# MAGIC %md | ||
# MAGIC ## Number of processed rows | ||
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# COMMAND ---------- | ||
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sql_template = f""" | ||
WITH metrics AS ( | ||
SELECT timestamp, operation, explode(operationMetrics) AS (metric, value) | ||
FROM ( | ||
DESCRIBE HISTORY {{full_table_name}} | ||
) | ||
), | ||
metrics_window AS ( | ||
SELECT window(timestamp, '{time_span}') AS time_window, metric, sum(value) as total_rows | ||
FROM metrics | ||
WHERE metric IN ( | ||
-- Written | ||
"numCopiedRows", | ||
"numUpdatedRows", | ||
"numOutputRows", | ||
-- Deleted | ||
"numDeletedRows", | ||
"numTargetRowsDeleted" | ||
) | ||
GROUP BY 1, 2 | ||
), | ||
metrics_pivot AS ( | ||
SELECT * | ||
FROM metrics_window | ||
PIVOT (sum(total_rows) as total_rows | ||
FOR (metric) IN ( | ||
-- Written | ||
"numCopiedRows", | ||
"numUpdatedRows", | ||
"numOutputRows", | ||
-- Deleted | ||
"numDeletedRows", | ||
"numTargetRowsDeleted" | ||
) | ||
) | ||
) | ||
SELECT | ||
time_window, | ||
-- Written rows include copied, updated and added rows | ||
(COALESCE(numCopiedRows, 0) + COALESCE(numUpdatedRows, 0) + COALESCE(numOutputRows, 0)) AS totNumWrittenRows, | ||
-- Deleted rows from both delete and merge operations | ||
(COALESCE(numDeletedRows, 0) + COALESCE(numTargetRowsDeleted, 0)) AS totNumDeletedRows | ||
FROM metrics_pivot | ||
""" | ||
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processed_rows = (dx | ||
.from_tables(from_tables) | ||
.with_sql(sql_template) | ||
.apply() | ||
).toPandas() | ||
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# COMMAND ---------- | ||
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display(processed_rows) | ||
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# COMMAND ---------- | ||
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