devillooki.blogg.se - Ledger live synchronization error

#LEDGER LIVE SYNCHRONIZATION ERROR UPDATE#
#LEDGER LIVE SYNCHRONIZATION ERROR MANUAL#
#LEDGER LIVE SYNCHRONIZATION ERROR SOFTWARE#

I'm not aware of a single solution to all this - probably because each project is so different. Now by redefining the view to SELECT * FROM main_table_$newid we can atomically swicth the table. DELETE FROM history_table WHERE superseded_id>=įor databases, where performance is a problem, we do this in a secondary database on a different server, then copy the found-to-be-good main table to the production database into a new table main_table_$id with $id being the highest import id and have main_table be a trivial view to SELECT * FROM main_table_$someid.REPLACE INTO main_table SELECT FROM history table WHERE superseded_id=.Find out the import_id of the bad import.Every DELETE moves the row to the history table.

#LEDGER LIVE SYNCHRONIZATION ERROR UPDATE#

Every UPDATE copies the row to the history table before changing it.

Every table has a history table that is identical to the original, but has an additional column "superseded_id" which gets the import-id of the import, that changed the row (deletion is a change) and the primary key is (row_id,superseded_id).

Every import/sync is assigned a unique id (auto_increment int64).

We have the same problem importing data from web analytics providers - they suffer the same problems as your catalog. If not you are not pointing to THE solution, I would be grateful of any keywords suggestion that would me narrow down which field of expertise to explore. What I am looking for is best practice and pattern/tool to handle such problem. Here are the safety criteria and the solution I an suggesting:Īvoid deleting records when they temporarily disappear from datasource => use "deleted" boulean/date column or an archive/history table.Ĭheck for inconsistent changes => configure rules per columns such as : should never change, should only increment,Ĭheck for integrity issue => (standard problem, no point discussing approach)Ībility to rollback last sync=> restore from history table ? use a version inc/date column ? I need to implement safety mecanism when updating the mysql table to "synchronize" with original data source. I have a live copy in a Mysql table in use by a live system.

#LEDGER LIVE SYNCHRONIZATION ERROR MANUAL#

( issue might come from manual data entry error, ETL failure.) Data can occasionally be unavailable or incomplete or inconsistent. I have an unreliable datasource of product catalog. Let's take an example with only 1 table to make it easier. If you are already in this case, the best is to restore your 24 words seed on Multibit HD or Mycelium and empty your wallet (and stop receiving dust payments).I am looking for pattern, framework or best practice to handle a generic problem of application level data synchronisation. Not only it will take a few hours, but you have risks that it will not manage to do it (the chip may get too hot and fault some computation etc). If you want to make a payment of 1 BTC then the chip will have to construct a transaction of 1,000 inputs and sign 1,000 times.

Imagine that you have received 1,000 payments of 0.001 BTC. The reason is that the chip must sign all inputs when you want to make an outgoing transaction.

#LEDGER LIVE SYNCHRONIZATION ERROR SOFTWARE#

Set the payment threshold at a higher level (for instance 0.05 BTC), or use an temporary software based wallet which you'll empty every 0.05 BTC. This kind of incoming payments are typical of mining pools or faucets. It is not recommended to receive small payments (also called dust payments) on a hardware wallet. It's not a good idea to mine small amounts to the Ledger, here's an comment from the Ledger Knowledge Base:Ĭan I use a hardware wallet as a direct payou from a mining pool or a faucet?