From 6e55ec6759f16db5b057782967078672433251b1 Mon Sep 17 00:00:00 2001
From: v-chen_data <v-chen_data@example.com>
Date: Mon, 17 Jun 2024 14:10:24 -0700
Subject: [PATCH] add retry

---
 scripts/data_prep/convert_delta_to_json.py | 75 +++++++++++++---------
 1 file changed, 46 insertions(+), 29 deletions(-)

diff --git a/scripts/data_prep/convert_delta_to_json.py b/scripts/data_prep/convert_delta_to_json.py
index f63f1b0027..edbfd56a87 100644
--- a/scripts/data_prep/convert_delta_to_json.py
+++ b/scripts/data_prep/convert_delta_to_json.py
@@ -42,6 +42,7 @@
 
 MINIMUM_DB_CONNECT_DBR_VERSION = '14.1'
 MINIMUM_SQ_CONNECT_DBR_VERSION = '12.2'
+MAX_RETRY = 5
 
 log = logging.getLogger(__name__)
 
@@ -368,36 +369,52 @@ def fetch(
         dbsql (databricks.sql.connect): dbsql session
     """
     cursor = dbsql.cursor() if dbsql is not None else None
+    for row_retry in range(MAX_RETRY):
+        try:
+            ans = run_query(
+                f'SELECT COUNT(*) FROM {tablename}',
+                method,
+                cursor,
+                sparkSession,
+            )
+            nrows = [row.asDict() for row in ans
+                    ][0].popitem()[1]  # pyright: ignore
+            log.info(f'total_rows = {nrows}')
+            break
+        except Exception as e:
+            if row_retry == MAX_RETRY - 1:
+                raise RuntimeError(
+                    f'Error in get total rows from {tablename}. Restart sparkSession and try again',
+                ) from e
+            else:
+                log.warning(
+                    f'Error in get total rows from {tablename}, trying again...'
+                )
 
-    try:
-        ans = run_query(
-            f'SELECT COUNT(*) FROM {tablename}',
-            method,
-            cursor,
-            sparkSession,
-        )
-        nrows = [row.asDict() for row in ans][0].popitem()[1]  # pyright: ignore
-        log.info(f'total_rows = {nrows}')
-    except Exception as e:
-        raise RuntimeError(
-            f'Error in get total rows from {tablename}. Restart sparkSession and try again',
-        ) from e
-
-    try:
-        ans = run_query(
-            f'SHOW COLUMNS IN {tablename}',
-            method,
-            cursor,
-            sparkSession,
-        )
-        columns = [row.asDict().popitem()[1] for row in ans]  # pyright: ignore
-        order_by = columns[0]
-        columns_str = ','.join(columns)
-        log.info(f'order by column {order_by}')
-    except Exception as e:
-        raise RuntimeError(
-            f'Error in get columns from {tablename}. Restart sparkSession and try again',
-        ) from e
+    for row_retry in range(MAX_RETRY):
+        try:
+            ans = run_query(
+                f'SHOW COLUMNS IN {tablename}',
+                method,
+                cursor,
+                sparkSession,
+            )
+            columns = [
+                row.asDict().popitem()[1] for row in ans
+            ]  # pyright: ignore
+            order_by = columns[0]
+            columns_str = ','.join(columns)
+            log.info(f'order by column {order_by}')
+            break
+        except Exception as e:
+            if row_retry == MAX_RETRY - 1:
+                raise RuntimeError(
+                    f'Error in get columns from {tablename}. Restart sparkSession and try again',
+                ) from e
+            else:
+                log.warning(
+                    f'Error in get columns from {tablename}, trying again...'
+                )
 
     if method == 'dbconnect' and sparkSession is not None:
         log.info(f'{processes=}')