Player serialization from-and to SQL database #496
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…gainst an actual database
… create_appearance and create_player
…ost, port, database name and driver
…t_items, get_attributes
…able, add get_account function
…matching, update serializer to not fire events
garyttierney
requested review from
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garyttierney
and removed request for
Major-
| FROM postgres:11-alpine | ||
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| # And then copy over the apollo.sql script into the container's entrypoint | ||
| COPY apollo.sql /docker-entrypoint-initdb.d/init.sql No newline at end of file |
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I don't want to start publishing custom PostgreSQL Docker images unless we need to compile native extensions. Instead of using the containers init scripts functionality we should be using something like Flyway to run migrations on the configured database.
game/src/main/java/org/apollo/game/database/ConnectionConfig.java
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| private void putRank(Connection connection, Email email, PrivilegeLevel rank) throws SQLException { |
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I don't like the amount of manual interaction with PreparedStatements and data mapping we have to do in here. I'd prefer if we used something like Spring's JDBCTemplate or jOOQ to handle splitting out the data mapping code (into spring RowMappers or jOOQ Converters), common JDBC errors, and replace positional parameters with named parameters.
| * The associated queries that are ran by this serializer. | ||
| */ | ||
| private static final String | ||
| GET_ACCOUNT_QUERY = "SELECT password_hash, rank FROM get_account(?::text)", |
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Why are these queries implemented as functions?
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Because majority of them are slightly more complex than the usual one liners involving joins and such. Java doesn't support text blocks until 13 and we're on 11 now so that'd get a bit messy. Do you have a better idea?
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If the only reason is to cut down on the size of string literals than we can store the queries in a kotlin file (which does support multi-line raw literals). The game module already has the Kotlin compiler enabled so this won't be an issue.
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| CREATE EXTENSION citext; | |||
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Once we've got this schema into something that can manage it (i.e. Flyway) lets break it down and separate out schema primitives (like types and tables) from functions (whose migrations can be run repeatedly without the need to create new versions every time you update the function).
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Solving #175