op: migrate-timezone

480 events · 6.39 ms wall · 3.40 ms DB (53%) · 3.00 ms non-DB (47%)
DB 3.40 msnon-DB 3.00 ms

Transactions

Autocommit mode — every statement was its own transaction. Group related writes in one explicit transaction (and reads outside it) to cut round-trips.

#durationreadswritesmax idleoutcomelongest template
128.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
251.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
315.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
440.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
524.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
642.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
713.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
836.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
920.40 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
1042.60 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
1113.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
1246.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
1313.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
1436.30 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
1512.60 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
1635.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
1713.00 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
1846.60 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
1912.70 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
2036.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
2113.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
2237.10 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
2312.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
2436.80 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
2513.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
2641.10 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
2713.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
2835.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
2912.30 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
3035.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
3112.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
3242.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
3313.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
3435.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
3512.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
3635.80 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
3711.80 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
3840.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
3913.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
4037.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
4112.80 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
4235.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
4311.80 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
4443.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
4513.00 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
4635.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
4712.60 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
4835.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
4915.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
5041.80 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
5112.70 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
5254.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
5313.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
5435.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
5512.30 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
5641.00 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
5712.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
5846.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
5912.70 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
6035.60 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
6112.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
6237.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
6313.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
6436.00 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
6512.60 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
6635.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
6712.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
6835.30 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
6914.40 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
7039.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
7113.00 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
7235.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
7311.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
7437.80 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
7513.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
7659.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
7714.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
7842.20 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
7913.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
8034.60 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
8113.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
8236.60 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
8313.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
8434.20 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
8513.40 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
8636.30 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
8718.30 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
8836.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
8912.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
9035.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
9111.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
9234.80 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
9317.50 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
9439.30 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
9513.00 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
9635.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
9712.80 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
9867.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
9913.30 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
10036.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
10112.20 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
10236.10 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
10312.60 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
10436.30 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
10512.40 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
10647.50 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
10713.00 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
10835.00 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
10912.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
11034.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
11111.80 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
11239.80 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
11313.00 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
11453.70 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
11512.90 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
11679.40 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
11714.10 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
11836.90 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…
11912.60 us10—autocommitSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?
12040.10 us01—autocommitUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…

Timeline

gap is idle time since the previous event on the same thread — highlighted rows had noticeably more app/non-DB time before them than the rest. Follow those to find where the op lost its wall-clock time outside the database.

+offsetgapeventdurationtemplateparamscall-site
0 ns—PREPARE1.30 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
48.60 us47.30 usEXECUTE_QUERY28.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 1fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
100.20 us23.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
102.80 us2.30 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
103.10 us200 nsCLOSE300 ns——stack[-1]
111.40 us8.00 usPREPARE1.20 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
168.30 us55.70 usEXECUTE_UPDATE51.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-1, [2] customer-1@example.com, [3] +1-555-1000, [4] 1 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 1fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
253.90 us33.90 usCLOSE400 ns——stack[-1]
255.00 us700 nsPREPARE1.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
268.80 us12.80 usEXECUTE_QUERY15.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 2fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
291.70 us7.70 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
294.00 us2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
294.30 us200 nsCLOSE200 ns——stack[-1]
295.40 us900 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
312.30 us16.20 usEXECUTE_UPDATE40.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-2, [2] customer-2@example.com, [3] +1-555-0002, [4] 2 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 2fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
361.60 us8.90 usCLOSE200 ns——stack[-1]
362.40 us600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
374.40 us11.30 usEXECUTE_QUERY24.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 3fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
406.70 us8.20 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
408.90 us2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
409.20 us100 nsCLOSE300 ns——stack[-1]
410.30 us800 nsPREPARE800 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
426.60 us15.50 usEXECUTE_UPDATE42.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-3, [2] customer-3@example.com, [3] +1-555-0003, [4] 3 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 3fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
478.60 us9.10 usCLOSE300 ns——stack[-1]
479.40 us500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
490.50 us10.40 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 4fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
511.10 us7.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
513.40 us2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
513.70 us200 nsCLOSE200 ns——stack[-1]
514.80 us900 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
536.80 us21.30 usEXECUTE_UPDATE36.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-4, [2] customer-4@example.com, [3] +1-555-0004, [4] 4 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 4fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
583.10 us9.40 usCLOSE200 ns——stack[-1]
583.90 us600 nsPREPARE1.80 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
596.20 us10.50 usEXECUTE_QUERY20.40 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 5fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
624.00 us7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
626.20 us2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
627.10 us800 nsCLOSE200 ns——stack[-1]
628.40 us1.10 usPREPARE1.10 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
644.60 us15.10 usEXECUTE_UPDATE42.60 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-5, [2] customer-5@example.com, [3] +1-555-1012, [4] 5 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 5fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
696.30 us9.10 usCLOSE300 ns——stack[-1]
697.20 us600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
709.10 us11.10 usEXECUTE_QUERY13.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 6fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
730.50 us7.90 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
732.80 us2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
733.10 us200 nsCLOSE200 ns——stack[-1]
734.00 us700 nsPREPARE1.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
751.70 us16.30 usEXECUTE_UPDATE46.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-6, [2] customer-6@example.com, [3] +1-555-0006, [4] 6 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 6fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
807.70 us9.60 usCLOSE300 ns——stack[-1]
808.40 us400 nsPREPARE900 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
821.10 us11.80 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 7fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
842.00 us7.70 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
844.30 us2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
844.60 us100 nsCLOSE300 ns——stack[-1]
845.60 us700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
867.70 us21.40 usEXECUTE_UPDATE36.30 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-7, [2] customer-7@example.com, [3] +1-555-0007, [4] 7 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 7fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
913.50 us9.50 usCLOSE200 ns——stack[-1]
914.20 us500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
925.50 us10.50 usEXECUTE_QUERY12.60 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 8fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
945.70 us7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
947.80 us1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
948.30 us400 nsCLOSE200 ns——stack[-1]
949.20 us700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
965.00 us15.10 usEXECUTE_UPDATE35.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-8, [2] customer-8@example.com, [3] +1-555-0008, [4] 8 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 8fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.01 ms8.80 usCLOSE300 ns——stack[-1]
1.01 ms400 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.02 ms10.50 usEXECUTE_QUERY13.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 9fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.04 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.04 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.04 ms100 nsCLOSE300 ns——stack[-1]
1.05 ms700 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.06 ms15.10 usEXECUTE_UPDATE46.60 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-9, [2] customer-9@example.com, [3] +1-555-1024, [4] 9 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 9fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.12 ms9.50 usCLOSE300 ns——stack[-1]
1.12 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.13 ms10.60 usEXECUTE_QUERY12.70 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 10fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.15 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.15 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.15 ms200 nsCLOSE200 ns——stack[-1]
1.15 ms800 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.17 ms20.80 usEXECUTE_UPDATE36.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-10, [2] customer-10@example.com, [3] +1-555-0010, [4] 10 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 10fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.22 ms9.10 usCLOSE300 ns——stack[-1]
1.22 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.23 ms10.60 usEXECUTE_QUERY13.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 11fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.25 ms7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.26 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.26 ms200 nsCLOSE200 ns——stack[-1]
1.26 ms700 nsPREPARE800 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.27 ms15.10 usEXECUTE_UPDATE37.10 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-11, [2] customer-11@example.com, [3] +1-555-0011, [4] 11 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 11fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.32 ms9.10 usCLOSE200 ns——stack[-1]
1.32 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.33 ms10.80 usEXECUTE_QUERY12.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 12fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.35 ms7.70 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.35 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.35 ms400 nsCLOSE200 ns——stack[-1]
1.35 ms800 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.37 ms15.40 usEXECUTE_UPDATE36.80 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-12, [2] customer-12@example.com, [3] +1-555-0012, [4] 12 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 12fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.42 ms8.80 usCLOSE300 ns——stack[-1]
1.42 ms600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.43 ms10.40 usEXECUTE_QUERY13.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 13fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.45 ms7.20 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.45 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.45 ms100 nsCLOSE300 ns——stack[-1]
1.45 ms700 nsPREPARE1.10 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.47 ms15.30 usEXECUTE_UPDATE41.10 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-13, [2] customer-13@example.com, [3] +1-555-0013, [4] 13 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 13fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.52 ms9.00 usCLOSE200 ns——stack[-1]
1.52 ms600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.53 ms11.60 usEXECUTE_QUERY13.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 14fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.55 ms7.50 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.55 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.55 ms200 nsCLOSE200 ns——stack[-1]
1.56 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.57 ms14.90 usEXECUTE_UPDATE35.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-14, [2] customer-14@example.com, [3] +1-555-0014, [4] 14 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 14fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.62 ms8.90 usCLOSE1.00 us——stack[-1]
1.62 ms700 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.63 ms10.40 usEXECUTE_QUERY12.30 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 15fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.65 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.65 ms2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.65 ms200 nsCLOSE200 ns——stack[-1]
1.65 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.67 ms15.40 usEXECUTE_UPDATE35.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-15, [2] customer-15@example.com, [3] +1-555-0015, [4] 15 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 15fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.71 ms8.80 usCLOSE300 ns——stack[-1]
1.71 ms600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.72 ms10.40 usEXECUTE_QUERY12.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 16fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.74 ms7.70 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.75 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.75 ms200 nsCLOSE200 ns——stack[-1]
1.75 ms700 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.76 ms15.30 usEXECUTE_UPDATE42.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-16, [2] customer-16@example.com, [3] +1-555-0016, [4] 16 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 16fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.82 ms8.80 usCLOSE300 ns——stack[-1]
1.82 ms700 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.83 ms11.20 usEXECUTE_QUERY13.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 17fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.85 ms7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.85 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.85 ms200 nsCLOSE200 ns——stack[-1]
1.85 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.87 ms15.10 usEXECUTE_UPDATE35.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-17, [2] customer-17@example.com, [3] +1-555-0017, [4] 17 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 17fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
1.91 ms8.40 usCLOSE300 ns——stack[-1]
1.91 ms500 nsPREPARE600 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.92 ms10.30 usEXECUTE_QUERY12.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 18fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
1.94 ms7.10 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.95 ms2.10 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
1.95 ms200 nsCLOSE200 ns——stack[-1]
1.95 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
1.96 ms15.30 usEXECUTE_UPDATE35.80 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-18, [2] customer-18@example.com, [3] +1-555-1001, [4] 18 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 18fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.01 ms8.60 usCLOSE300 ns——stack[-1]
2.01 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.02 ms10.60 usEXECUTE_QUERY11.80 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 19fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.04 ms7.80 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.04 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.04 ms200 nsCLOSE200 ns——stack[-1]
2.04 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.06 ms16.20 usEXECUTE_UPDATE40.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-19, [2] customer-19@example.com, [3] +1-555-0019, [4] 19 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 19fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.11 ms9.10 usCLOSE300 ns——stack[-1]
2.11 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.13 ms18.20 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 20fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.15 ms7.90 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.15 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.15 ms200 nsCLOSE300 ns——stack[-1]
2.15 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.17 ms15.30 usEXECUTE_UPDATE37.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-20, [2] customer-20@example.com, [3] +1-555-0020, [4] 20 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 20fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.22 ms10.00 usCLOSE200 ns——stack[-1]
2.22 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.23 ms11.10 usEXECUTE_QUERY12.80 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 21fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.25 ms7.50 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.25 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.25 ms200 nsCLOSE200 ns——stack[-1]
2.25 ms800 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.27 ms15.10 usEXECUTE_UPDATE35.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-21, [2] customer-21@example.com, [3] +1-555-0021, [4] 21 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 21fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.31 ms8.80 usCLOSE300 ns——stack[-1]
2.32 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.33 ms10.30 usEXECUTE_QUERY11.80 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 22fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.35 ms7.50 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.35 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.35 ms200 nsCLOSE300 ns——stack[-1]
2.35 ms700 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.37 ms15.30 usEXECUTE_UPDATE43.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-22, [2] customer-22@example.com, [3] +1-555-1013, [4] 22 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 22fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.42 ms9.80 usCLOSE300 ns——stack[-1]
2.42 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.43 ms10.40 usEXECUTE_QUERY13.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 23fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.45 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.45 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.45 ms200 nsCLOSE300 ns——stack[-1]
2.45 ms800 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.47 ms15.20 usEXECUTE_UPDATE35.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-23, [2] customer-23@example.com, [3] +1-555-0023, [4] 23 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 23fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.51 ms8.80 usCLOSE300 ns——stack[-1]
2.52 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.53 ms10.20 usEXECUTE_QUERY12.60 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 24fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.55 ms7.50 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.55 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.55 ms200 nsCLOSE200 ns——stack[-1]
2.55 ms900 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.57 ms14.90 usEXECUTE_UPDATE35.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-24, [2] customer-24@example.com, [3] +1-555-0024, [4] 24 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 24fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.61 ms9.10 usCLOSE200 ns——stack[-1]
2.61 ms600 nsPREPARE1.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.62 ms10.50 usEXECUTE_QUERY15.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 25fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.65 ms7.70 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.65 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.65 ms200 nsCLOSE200 ns——stack[-1]
2.65 ms700 nsPREPARE800 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.67 ms15.60 usEXECUTE_UPDATE41.80 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-25, [2] customer-25@example.com, [3] +1-555-0025, [4] 25 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 25fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.72 ms9.10 usCLOSE300 ns——stack[-1]
2.72 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.73 ms10.80 usEXECUTE_QUERY12.70 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 26fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.75 ms7.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.75 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.75 ms200 nsCLOSE200 ns——stack[-1]
2.75 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.77 ms16.30 usEXECUTE_UPDATE54.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-26, [2] customer-26@example.com, [3] +1-555-0026, [4] 26 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 26fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.83 ms9.90 usCLOSE300 ns——stack[-1]
2.84 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.85 ms11.20 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 27fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.87 ms7.70 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.87 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.87 ms200 nsCLOSE200 ns——stack[-1]
2.87 ms700 nsPREPARE900 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.89 ms15.00 usEXECUTE_UPDATE35.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-27, [2] customer-27@example.com, [3] +1-555-0027, [4] 27 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 27fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
2.93 ms8.90 usCLOSE300 ns——stack[-1]
2.93 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.94 ms10.90 usEXECUTE_QUERY12.30 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 28fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
2.97 ms8.10 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.97 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
2.97 ms200 nsCLOSE200 ns——stack[-1]
2.97 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
2.98 ms14.70 usEXECUTE_UPDATE41.00 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-28, [2] customer-28@example.com, [3] +1-555-0028, [4] 28 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 28fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.03 ms8.80 usCLOSE300 ns——stack[-1]
3.03 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.05 ms10.20 usEXECUTE_QUERY12.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 29fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.07 ms7.80 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.07 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.07 ms200 nsCLOSE300 ns——stack[-1]
3.07 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.09 ms15.60 usEXECUTE_UPDATE46.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-29, [2] customer-29@example.com, [3] +1-555-0029, [4] 29 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 29fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.14 ms9.20 usCLOSE300 ns——stack[-1]
3.14 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.15 ms10.60 usEXECUTE_QUERY12.70 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 30fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.17 ms7.30 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.18 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.18 ms200 nsCLOSE200 ns——stack[-1]
3.18 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.19 ms15.10 usEXECUTE_UPDATE35.60 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-30, [2] customer-30@example.com, [3] +1-555-0030, [4] 30 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 30fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.24 ms8.80 usCLOSE300 ns——stack[-1]
3.24 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.25 ms10.20 usEXECUTE_QUERY12.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 31fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.27 ms7.80 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.27 ms2.20 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.27 ms200 nsCLOSE200 ns——stack[-1]
3.27 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.29 ms15.20 usEXECUTE_UPDATE37.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-31, [2] customer-31@example.com, [3] +1-555-0031, [4] 31 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 31fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.34 ms14.40 usCLOSE300 ns——stack[-1]
3.34 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.35 ms11.00 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 32fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.37 ms7.80 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.38 ms2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.38 ms200 nsCLOSE200 ns——stack[-1]
3.38 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.39 ms16.00 usEXECUTE_UPDATE36.00 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-32, [2] customer-32@example.com, [3] +1-555-0032, [4] 32 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 32fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.44 ms9.30 usCLOSE300 ns——stack[-1]
3.44 ms400 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.45 ms10.80 usEXECUTE_QUERY12.60 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 33fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.47 ms7.80 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.48 ms2.10 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.48 ms200 nsCLOSE300 ns——stack[-1]
3.48 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.49 ms14.80 usEXECUTE_UPDATE35.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-33, [2] customer-33@example.com, [3] +1-555-0033, [4] 33 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 33fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.54 ms9.00 usCLOSE300 ns——stack[-1]
3.54 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.55 ms10.40 usEXECUTE_QUERY12.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 34fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.57 ms7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.57 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.57 ms200 nsCLOSE300 ns——stack[-1]
3.57 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.59 ms15.10 usEXECUTE_UPDATE35.30 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-34, [2] customer-34@example.com, [3] +1-555-0034, [4] 34 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 34fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.64 ms14.20 usCLOSE300 ns——stack[-1]
3.64 ms400 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.65 ms11.00 usEXECUTE_QUERY14.40 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 35fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.67 ms8.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.68 ms2.40 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.68 ms300 nsCLOSE200 ns——stack[-1]
3.68 ms900 nsPREPARE900 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.70 ms17.10 usEXECUTE_UPDATE39.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-35, [2] customer-35@example.com, [3] +1-555-1002, [4] 35 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 35fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.74 ms9.10 usCLOSE300 ns——stack[-1]
3.74 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.76 ms10.70 usEXECUTE_QUERY13.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 36fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.78 ms7.30 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.78 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.78 ms200 nsCLOSE200 ns——stack[-1]
3.78 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.80 ms15.80 usEXECUTE_UPDATE35.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-36, [2] customer-36@example.com, [3] +1-555-0036, [4] 36 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 36fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.84 ms9.30 usCLOSE300 ns——stack[-1]
3.84 ms400 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.85 ms10.50 usEXECUTE_QUERY11.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 37fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.87 ms7.80 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.87 ms1.80 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.87 ms100 nsCLOSE300 ns——stack[-1]
3.88 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.89 ms14.90 usEXECUTE_UPDATE37.80 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-37, [2] customer-37@example.com, [3] +1-555-0037, [4] 37 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 37fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
3.94 ms8.80 usCLOSE300 ns——stack[-1]
3.94 ms400 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
3.96 ms16.00 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 38fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
3.98 ms7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.98 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
3.98 ms200 nsCLOSE200 ns——stack[-1]
3.98 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.00 ms16.00 usEXECUTE_UPDATE59.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-38, [2] customer-38@example.com, [3] +1-555-0038, [4] 38 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 38fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.07 ms9.70 usCLOSE300 ns——stack[-1]
4.07 ms400 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.08 ms10.90 usEXECUTE_QUERY14.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 39fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.10 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.10 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.10 ms200 nsCLOSE200 ns——stack[-1]
4.10 ms1.60 usPREPARE800 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.13 ms28.80 usEXECUTE_UPDATE42.20 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-39, [2] customer-39@example.com, [3] +1-555-1014, [4] 39 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 39fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.19 ms10.00 usCLOSE300 ns——stack[-1]
4.19 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.20 ms11.00 usEXECUTE_QUERY13.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 40fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.22 ms7.50 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.22 ms2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.22 ms100 nsCLOSE300 ns——stack[-1]
4.22 ms600 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.24 ms15.20 usEXECUTE_UPDATE34.60 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-40, [2] customer-40@example.com, [3] +1-555-0040, [4] 40 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 40fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.28 ms8.60 usCLOSE300 ns——stack[-1]
4.28 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.30 ms16.10 usEXECUTE_QUERY13.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 41fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.32 ms7.50 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.32 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.32 ms200 nsCLOSE300 ns——stack[-1]
4.32 ms600 nsPREPARE800 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.35 ms21.30 usEXECUTE_UPDATE36.60 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-41, [2] customer-41@example.com, [3] +1-555-0041, [4] 41 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 41fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.39 ms9.30 usCLOSE200 ns——stack[-1]
4.39 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.40 ms10.60 usEXECUTE_QUERY13.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 42fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.42 ms7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.43 ms1.80 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.43 ms200 nsCLOSE200 ns——stack[-1]
4.43 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.44 ms15.10 usEXECUTE_UPDATE34.20 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-42, [2] customer-42@example.com, [3] +1-555-0042, [4] 42 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 42fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.49 ms8.70 usCLOSE300 ns——stack[-1]
4.49 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.50 ms11.20 usEXECUTE_QUERY13.40 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 43fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.52 ms7.50 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.52 ms2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.52 ms200 nsCLOSE200 ns——stack[-1]
4.52 ms1.00 usPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.54 ms15.50 usEXECUTE_UPDATE36.30 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-43, [2] customer-43@example.com, [3] +1-555-0043, [4] 43 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 43fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.59 ms9.00 usCLOSE300 ns——stack[-1]
4.59 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.60 ms10.50 usEXECUTE_QUERY18.30 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 44fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.62 ms7.80 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.63 ms2.20 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.63 ms200 nsCLOSE300 ns——stack[-1]
4.63 ms900 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.64 ms15.60 usEXECUTE_UPDATE36.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-44, [2] customer-44@example.com, [3] +1-555-0044, [4] 44 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 44fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.69 ms8.80 usCLOSE300 ns——stack[-1]
4.69 ms400 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.70 ms10.60 usEXECUTE_QUERY12.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 45fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.72 ms7.10 usNEXT400 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.72 ms2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.72 ms100 nsCLOSE300 ns——stack[-1]
4.73 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.74 ms14.50 usEXECUTE_UPDATE35.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-45, [2] customer-45@example.com, [3] +1-555-0045, [4] 45 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 45fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.79 ms8.90 usCLOSE500 ns——stack[-1]
4.79 ms600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.80 ms10.60 usEXECUTE_QUERY11.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 46fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.82 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.82 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.82 ms200 nsCLOSE200 ns——stack[-1]
4.82 ms900 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.84 ms15.10 usEXECUTE_UPDATE34.80 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-46, [2] customer-46@example.com, [3] +1-555-0046, [4] 46 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 46fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.88 ms8.90 usCLOSE300 ns——stack[-1]
4.88 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.89 ms10.40 usEXECUTE_QUERY17.50 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 47fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
4.92 ms7.50 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.92 ms1.80 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
4.92 ms200 nsCLOSE200 ns——stack[-1]
4.92 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
4.94 ms16.30 usEXECUTE_UPDATE39.30 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-47, [2] customer-47@example.com, [3] +1-555-0047, [4] 47 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 47fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
4.99 ms9.10 usCLOSE300 ns——stack[-1]
4.99 ms600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.00 ms10.40 usEXECUTE_QUERY13.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 48fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.02 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.02 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.02 ms200 nsCLOSE200 ns——stack[-1]
5.02 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.04 ms15.50 usEXECUTE_UPDATE35.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-48, [2] customer-48@example.com, [3] +1-555-0048, [4] 48 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 48fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.08 ms8.90 usCLOSE300 ns——stack[-1]
5.08 ms700 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.09 ms10.60 usEXECUTE_QUERY12.80 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 49fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.11 ms7.30 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.12 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.12 ms100 nsCLOSE300 ns——stack[-1]
5.12 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.13 ms14.80 usEXECUTE_UPDATE67.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-49, [2] customer-49@example.com, [3] +1-555-0049, [4] 49 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 49fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.21 ms9.80 usCLOSE300 ns——stack[-1]
5.21 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.22 ms10.40 usEXECUTE_QUERY13.30 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 50fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.25 ms12.70 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.25 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.25 ms200 nsCLOSE300 ns——stack[-1]
5.25 ms700 nsPREPARE800 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.27 ms14.70 usEXECUTE_UPDATE36.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-50, [2] customer-50@example.com, [3] +1-555-0050, [4] 50 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 50fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.31 ms9.00 usCLOSE300 ns——stack[-1]
5.31 ms500 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.33 ms10.20 usEXECUTE_QUERY12.20 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 51fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.34 ms7.30 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.35 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.35 ms200 nsCLOSE200 ns——stack[-1]
5.35 ms1.00 usPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.36 ms15.10 usEXECUTE_UPDATE36.10 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-51, [2] customer-51@example.com, [3] +1-555-0051, [4] 51 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 51fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.41 ms8.80 usCLOSE300 ns——stack[-1]
5.41 ms600 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.42 ms10.80 usEXECUTE_QUERY12.60 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 52fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.44 ms7.40 usNEXT600 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.44 ms1.90 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.44 ms200 nsCLOSE200 ns——stack[-1]
5.45 ms3.10 usPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.46 ms15.80 usEXECUTE_UPDATE36.30 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-52, [2] customer-52@example.com, [3] +1-555-1003, [4] 52 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 52fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.51 ms8.80 usCLOSE300 ns——stack[-1]
5.51 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.52 ms10.40 usEXECUTE_QUERY12.40 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 53fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.55 ms13.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.55 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.55 ms200 nsCLOSE200 ns——stack[-1]
5.55 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.57 ms15.80 usEXECUTE_UPDATE47.50 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-53, [2] customer-53@example.com, [3] +1-555-0053, [4] 53 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 53fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.62 ms9.40 usCLOSE300 ns——stack[-1]
5.62 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.64 ms10.80 usEXECUTE_QUERY13.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 54fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.66 ms7.60 usNEXT400 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.66 ms1.80 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.66 ms200 nsCLOSE300 ns——stack[-1]
5.66 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.68 ms16.80 usEXECUTE_UPDATE35.00 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-54, [2] customer-54@example.com, [3] +1-555-0054, [4] 54 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 54fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.72 ms9.00 usCLOSE300 ns——stack[-1]
5.72 ms900 nsPREPARE700 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.73 ms10.30 usEXECUTE_QUERY12.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 55fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.75 ms7.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.76 ms1.80 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.76 ms200 nsCLOSE200 ns——stack[-1]
5.76 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.77 ms15.30 usEXECUTE_UPDATE34.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-55, [2] customer-55@example.com, [3] +1-555-0055, [4] 55 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 55fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.82 ms8.90 usCLOSE300 ns——stack[-1]
5.82 ms500 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.83 ms10.50 usEXECUTE_QUERY11.80 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 56fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.85 ms7.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.85 ms1.90 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.85 ms200 nsCLOSE200 ns——stack[-1]
5.85 ms800 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.87 ms20.60 usEXECUTE_UPDATE39.80 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-56, [2] customer-56@example.com, [3] +1-555-1015, [4] 56 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 56fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
5.92 ms9.30 usCLOSE200 ns——stack[-1]
5.92 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.94 ms10.70 usEXECUTE_QUERY13.00 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 57fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
5.96 ms7.60 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.96 ms2.00 usCLOSE200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
5.96 ms200 nsCLOSE200 ns——stack[-1]
5.96 ms700 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
5.97 ms14.80 usEXECUTE_UPDATE53.70 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-57, [2] customer-57@example.com, [3] +1-555-0057, [4] 57 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 57fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
6.04 ms9.60 usCLOSE300 ns——stack[-1]
6.04 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
6.05 ms11.10 usEXECUTE_QUERY12.90 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 58fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
6.07 ms7.40 usNEXT300 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
6.07 ms3.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
6.07 ms200 nsCLOSE200 ns——stack[-1]
6.08 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
6.09 ms15.70 usEXECUTE_UPDATE79.40 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-58, [2] customer-58@example.com, [3] +1-555-0058, [4] 58 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 58fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
6.18 ms10.70 usCLOSE400 ns——stack[-1]
6.18 ms700 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
6.20 ms11.10 usEXECUTE_QUERY14.10 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 59fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
6.22 ms7.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
6.22 ms2.10 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
6.22 ms200 nsCLOSE200 ns——stack[-1]
6.22 ms800 nsPREPARE700 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
6.24 ms21.70 usEXECUTE_UPDATE36.90 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-59, [2] customer-59@example.com, [3] +1-555-0059, [4] 59 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 59fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
6.29 ms9.00 usCLOSE300 ns——stack[-1]
6.29 ms600 nsPREPARE800 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
6.30 ms10.50 usEXECUTE_QUERY12.60 usSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?[1] 60fi.vesas.jdbclens.sample.dao.CustomerDao.findFullById:41
6.32 ms8.40 usNEXT200 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
6.32 ms2.00 usCLOSE100 nsSELECT id, name, email, phone, address_line, city, state, postal_code, country, timezone FROM customers WHERE id = ?—stack[-1]
6.32 ms200 nsCLOSE200 ns——stack[-1]
6.33 ms800 nsPREPARE600 nsUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…—fi.vesas.jdbclens.capture.CapturingConnection.wrapPrepared:66
6.34 ms15.20 usEXECUTE_UPDATE40.10 usUPDATE customers SET name = ?, email = ?, phone = ?, address_line = ?, city = ?, state = ?, postal_code = ?, country = ?, timezone = ? WHER…[1] customer-60, [2] customer-60@example.com, [3] +1-555-0060, [4] 60 Main St, [5] Springfield, [6] IL, [7] 62704, [8] US, [9] America/New_York, [10] 60fi.vesas.jdbclens.sample.dao.CustomerDao.updateAll:73
6.39 ms9.40 usCLOSE200 ns——stack[-1]