diff --git a/app.R b/app.R
index 7cc9f5c..f045a6e 100644
--- a/app.R
+++ b/app.R
@@ -868,6 +868,7 @@ server <- function(input, output, session) {
 
           date_columns   <- subset(scheme, form_type == "date", form_id, drop = TRUE)
           number_columns <- subset(scheme, form_type == "number", form_id, drop = TRUE)
+          other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
 
           df <- df |>
             dplyr::mutate(
@@ -875,9 +876,10 @@ server <- function(input, output, session) {
               dplyr::across(tidyselect::all_of({{date_columns}}), as.Date),
               # числа - к единому формату десятичных значений
               dplyr::across(tidyselect::all_of({{number_columns}}), ~ gsub("\\.", "," , .x)),
+              dplyr::across(tidyselect::all_of({{other_cols}}), as.character)
             ) |>
             # очистка от пустых ключей
-            dplyr::filter(!is.na(main_key))
+            dplyr::filter(!is.na(mhcs()$get_main_key_id))
 
           df
         }
@@ -1044,6 +1046,7 @@ server <- function(input, output, session) {
 
       # столбцы в таблицы и схема
       df_to_schema_compare <- setdiff(colnames(df), unique(scheme$form_id))
+      df_to_schema_compare <- df_to_schema_compare[df_to_schema_compare != main_key_id]
       schema_to_df_compare <- setdiff(unique(scheme$form_id), colnames(df))
 
       if (length(df_to_schema_compare) > 0 ) {
@@ -1054,8 +1057,8 @@ server <- function(input, output, session) {
       if (length(schema_to_df_compare) > 0 ) {
 
         message <- glue::glue("столбцы в таблице '{table_name}' не соответсвуют схеме")
-        cli::cli_warn(c(message, paste("- ", schema_to_df_compare)))
         showNotification(message, type = "error")
+        cli::cli_warn(c(message, paste("- ", schema_to_df_compare)))
 
         return()
       }
@@ -1067,8 +1070,9 @@ server <- function(input, output, session) {
       df     <- openxlsx2::read_xlsx(wb, table_name) 
       scheme <- mhcs()$get_scheme_with_values_forms(table_name)
 
-      date_columns <- subset(scheme, form_type == "date", form_id, drop = TRUE)
+      date_columns   <- subset(scheme, form_type == "date", form_id, drop = TRUE)
       number_columns <- subset(scheme, form_type == "number", form_id, drop = TRUE)
+      other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
 
       # функция для преобразование числовых значений и сохранения "NA"
       num_converter <- function(old_col) {
@@ -1086,8 +1090,9 @@ server <- function(input, output, session) {
       df <- df |>
         dplyr::mutate(
           # даты - к единому формату
-          dplyr::across(tidyselect::all_of({{date_columns}}), \(x) purrr::map_chr(x, db$excel_to_db_dates_converter)),
+          dplyr::across(tidyselect::all_of({{date_columns}}),   \(x) purrr::map_chr(x, db$excel_to_db_dates_converter)),
           dplyr::across(tidyselect::all_of({{number_columns}}), num_converter),
+          dplyr::across(tidyselect::all_of({{other_cols}}),     as.character)
         ) |>
         select(all_of(unique(c(main_key_id, scheme$form_id))))
 
@@ -1115,7 +1120,7 @@ server <- function(input, output, session) {
 
       # очистка от пустых ключей
       df <- df |>
-        dplyr::filter(!is.na(main_key))
+        dplyr::filter(!is.na({{main_key_id}}))
 
       DBI::dbWriteTable(
         con,
diff --git a/modules/db.R b/modules/db.R
index d9300b3..98a84b2 100644
--- a/modules/db.R
+++ b/modules/db.R
@@ -191,6 +191,7 @@ write_df_to_db = function(
 
   date_columns   <- subset(scheme, form_type == "date", form_id, drop = TRUE)
   number_columns <- subset(scheme, form_type == "number", form_id, drop = TRUE)
+  other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
 
   df <- df |>
     dplyr::mutate(
@@ -198,7 +199,11 @@ write_df_to_db = function(
       dplyr::across(tidyselect::all_of({{date_columns}}), \(x) purrr::map_chr(x, excel_to_db_dates_converter)),
       # числа - к единому формату десятичных значений
       dplyr::across(tidyselect::all_of({{number_columns}}), ~ gsub("\\.", "," , .x)),
+      dplyr::across(tidyselect::all_of({{other_cols}}), as.character),
     )
+  
+  df |>
+    dplyr::glimpse()
 
   if (table_name == "main") {
     del_query <- glue::glue("DELETE FROM main WHERE {main_key_id} = '{main_key_value}'")