perf: faster count estimation (backport #46550) (#46551)

perf: faster count estimation (#46550)

These count queries themselves take quite a long time. `estimate_count`
uses info_schema stats to guess the time.

Co-authored-by: Nabin Hait <nabinhait@gmail.com>
(cherry picked from commit e47a87839b)

Co-authored-by: Ankush Menat <ankush@frappe.io>

erpnext/accounts/doctype/period_closing_voucher/period_closing_voucher.py

@@ -139,7 +139,7 @@ class PeriodClosingVoucher(AccountsController):
 		self.cancel_gl_entries()
 
 	def make_gl_entries(self):
-		if self.get_gle_count_in_selected_period() > 5000:
+		if frappe.db.estimate_count("GL Entry") > 100_000:
 			frappe.enqueue(
 				process_gl_and_closing_entries,
 				doc=self,
@@ -154,16 +154,6 @@ class PeriodClosingVoucher(AccountsController):
 		else:
 			process_gl_and_closing_entries(self)
 
-	def get_gle_count_in_selected_period(self):
-		return frappe.db.count(
-			"GL Entry",
-			{
-				"posting_date": ["between", [self.period_start_date, self.period_end_date]],
-				"company": self.company,
-				"is_cancelled": 0,
-			},
-		)
-
 	def get_pcv_gl_entries(self):
 		self.pl_accounts_reverse_gle = []
 		self.closing_account_gle = []

erpnext/stock/report/batch_wise_balance_history/batch_wise_balance_history.py

@@ -10,25 +10,14 @@ from pypika import functions as fn
 
 from erpnext.stock.doctype.warehouse.warehouse import apply_warehouse_filter
 
-SLE_COUNT_LIMIT = 10_000
-
-
-def _estimate_table_row_count(doctype: str):
-	table = get_table_name(doctype)
-	return cint(
-		frappe.db.sql(
-			f"""select table_rows
-			   from  information_schema.tables
-			   where table_name = '{table}' ;"""
-		)[0][0]
-	)
+SLE_COUNT_LIMIT = 100_000
 
 
 def execute(filters=None):
 	if not filters:
 		filters = {}
 
-	sle_count = _estimate_table_row_count("Stock Ledger Entry")
+	sle_count = frappe.db.estimate_count("Stock Ledger Entry")
 
 	if (
 		sle_count > SLE_COUNT_LIMIT