23%
18.07.2013
backend3.example.com server;
05 backend4.example.com server down;
06 backend5.example.com backup server;
07 }
08
09 upstream fallback {
10 fallback1.example.com server: 8081;
11 }
12
13
14 server {
15 %
16
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03.12.2015
_config = file
05 store_file_config = ./client.conf
06
07 store_volatile = sqlite
08 store_sqlite_volatile = ./volatile.sqlite
09
10 log = on
11 log_file = ./dhcpy6d.log
12
13 really_do_it = yes
14
15 dns
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14.08.2020
100 100 010 Pre-fail Always - 0
9 Power_On_Hours 0x0032 097 097 000 Old_age Always - 12441
12 Power_Cycle_Count 0x0032 098 098 000 Old
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17.06.2017
_schema.events_statements_summary_global_by_event_name WHERE event_name LIKE "%/savepoint";
+------------+
| COUNT_STAR |
+------------+
| 1 |
+------------+
1 row in set (0.00 sec)
Hands On
The following sections demonstrate the installation
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03.08.2023
atomically and consistently across all the involved nodes.
Here's a simple example of a transaction that involves updating the prices of two books:
BEGIN;
UPDATE books SET price = price * 0.9 WHERE title
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01.08.2019
.
Listing 4
Registry Configuration
01 version: 0.1
02 log:
03 fields:
04 service: registry
05 storage:
06 filesystem:
07 rootdirectory: /var/lib/registry
08 http:
09
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29.09.2020
_On_Hours 0x0032 097 097 000 Old_age Always - 12441
12 Power_Cycle_Count 0x0032 098 098 000 Old_age Always - 1482
177 Wear_Leveling_Count 0x0013 098
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02.06.2020
optimizer = tf.keras.optimizers.RMSprop(0.001)
11 model.compile(loss='mean_squared_error',
12 optimizer=optimizer,
13 metrics=['mean_absolute_error', 'mean_squared_error'])
The model is shown
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09.08.2015
.translation embeddedmap;
09
10 create class Relation extends E;
11 create property Relation.from date;
12
13 create class Appear extends E;
14 create property Appear.chapter embeddedlist integer
15
16 insert into Person
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05.12.2019
-created
09 - event: comment-added
10 comment: (?i)^(Patch Set [0-9]+:)?( [\w\\+-]*)*(\n\n)?\s*RECHECK
11 success:
12 gerrit:
13 # return to Gerrit Verified+1
14 Verified: 1
15
