connecting to a sql server database via jdbc from a google sheets doc. This table has some 30k odd records and hit "exceeded maximum execution time" error. Is there a way to improve performance or a work around to the 6 minute execution time.
function myFunction() {
var conn = Jdbc.getConnection("jdbc:sqlserver://dbURL", "username", "password");
var stmt = conn.createStatement();
stmt.setMaxRows(3000);
var start = new Date();
var rs = stmt.executeQuery('SELECT * FROM dbo.myTable');
var doc = SpreadsheetApp.getActiveSpreadsheet();
var cell = doc.getRange('a1');
var row = 0;
var data = [];
while (rs.next()) {
var rowData = [];
for (var col = 0; col < rs.getMetaData().getColumnCount(); col++) {
rowData[col] = (rs.getString(col + 1));
}
data[row] = rowData;
row++;
}
rs.close();
stmt.close();
conn.close();
var end = new Date();
Logger.log('Time elapsed: ' + (end.getTime() - start.getTime()));
}
Thank you.
Modified the code to use Continuous Batch Library, even though I don't get Exceeded execution time error looks like its getting into an infinite loop and writing not one records to the sheets.
var FUNCTION_NAME = "test";
var EMAIL_RECIPIENT = "";
function test() {
ContinuousBatchLibrary.startOrResumeContinousExecutionInstance(FUNCTION_NAME)
var conn = Jdbc.getConnection("jdbc:sqlserver://HOST:PORT/DBNAME","user","password");
var stmt = conn.createStatement();
stmt.setMaxRows(100);
var rs = stmt.executeQuery('SELECT * FROM myTable');
var SS;
var Sheet;
var SheetRange;
// OPEN EXISTING SPREADSHEET
SS = SpreadsheetApp.openById(SpreadsheetApp.getActiveSpreadsheet().getId());
// SET SPREADSHEET ACTIVE
SpreadsheetApp.setActiveSpreadsheet(SS);
Sheet = SpreadsheetApp.setActiveSheet(SS.getSheetByName(SpreadsheetApp.getActiveSpreadsheet().getSheetName()));
// GET NUMBER OF COLUMNS
var ColCount = rs.getMetaData().getColumnCount();
// SET COLUMN HEADERS
for (var col = 1; col <= ColCount; col++) {
GSheet.getRange(1, col).setValue(rs.getMetaData().getColumnName(col));
}
// SET RANGE TO FIRST ROW AND BOLD
GSheetRange = GSheet.getRange(1,1,1,GSheet.getLastColumn());
GSheetRange.setFontWeight("bold");
var doc = SpreadsheetApp.getActiveSpreadsheet();
var cell = doc.getRange('a2');
var row = 0;
var data = [];
var i = ContinuousBatchLibrary.getBatchKey(FUNCTION_NAME) || 0;
for (; i < row.length; i++) {
while (rs.next()) {
var rowData = [];
for (var col = 0; col < rs.getMetaData().getColumnCount(); col++) {
rowData[col] = (rs.getString(col + 1));
}
data[row] = rowData;
row++;
}
if (ContinuousBatchLibrary.isTimeRunningOut(FUNCTION_NAME)) {
ContinuousBatchLibrary.setBatchKey(FUNCTION_NAME, i)
break;
}
}
rs.close();
stmt.close();
conn.close();
if (i === row.length) {
ContinuousBatchLibrary.endContinuousExecutionInstance(FUNCTION_NAME, EMAIL_RECIPIENT, "task complete")
}
}