feat(jdbc): JdbcExporter, matching the CSV and Parquet exporters

Ouverte
  • Quelque chose ne va pas ?
#567 0 commentaires 0 réactions 0 personnes assignées Voir sur GitHub

Les mainteneurs répondent en général sous 1 jour

Personne n'a encore pris cette issue.

Évaluation

Difficulté
5/5
Temps estimé
Plus d'une semaine
Accessibilité débutants
25/100
Type d'issue
Fonctionnalité
Clarté
Plutôt claire
Activité
Active
Stack technique
java, sql
Domaine
database

Piste de recherche

Start by comparing the existing JdbcImporter and JdbcImportOptions with the CSV and Parquet exporter APIs to locate the JDBC module’s conventions. Then review the import type mapping and exporter progress listener patterns before defining the export API and binder behavior. Done means exporting rows into a caller-provided table in batches with validity-aware nulls, transaction rollback on failure, restored auto-commit, and opt-in DDL support.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

enhancement

vortex-jdbc only has JdbcImporter/JdbcImportOptions; csv and parquet each have an importer and an exporter. Add JdbcExporter + JdbcExportOptions for symmetry: read a Vortex file and move its rows into a table in a JDBC database over a caller-supplied Connection.

API sketch

JdbcExportOptions opts = JdbcExportOptions.defaults()
        .withBatchSize(5_000)
        .withBinder(JdbcBinder.standard()
                .with(DType.Extension.class, (ps, i, value) -> ps.setObject(i, value)));

JdbcExporter.export(vortexPath, connection, "ohlc", opts);
  • Options are a final class with a private constructor, defaults() and withXxx copies, as everywhere else. The target table is a required argument of export, not an option (confirm that CsvExporter/ParquetExporter take their target the same way).
  • Binder (callback): a small functional interface that sets one value on a PreparedStatement. JdbcBinder.standard() covers primitives, strings, decimals, booleans and dates. A user overrides only the types their database needs special handling for (Postgres arrays, setObject for timestamps).
  • DDL helper, not automatic: a DType to SQL type function plus createTableSql(name, dtype) returns a CREATE TABLE string. The exporter never creates or alters a table on its own; creation is opt-in.

Behavior

  • Appends to an existing table with INSERT INTO t (cols...) VALUES (?, ...) through a PreparedStatement. Nulls follow the validity mask.
  • One transaction for the whole export: remember the connection's auto-commit setting, setAutoCommit(false), addBatch() per row, executeBatch() every batchSize rows, commit() at the end, rollback() and rethrow on failure, and restore auto-commit in a finally. The connection belongs to the caller. A failed export leaves nothing behind.
  • ProgressListener, as in the other exporters.

Open design questions

  • Reverse type mapping DType to SQL type (the inverse of SqlTypeToDType); it varies by database.
  • Create-if-missing vs truncate vs fail-if-exists: all opt-in, append is the default.
  • A withCommitEvery(n) option for very large exports, if a long-lived transaction proves a problem. Not in the first cut.

Not needed for the jdbc:vortex: driver work (#566). No demand yet, so this waits until someone needs it.

Langage dominant
Java
Étoiles
3
Forks
2
Merge moyen
14 h 59 min
PR mergées (30 j)
137

Préparer son environnement

Par où commencer

  1. Lisez l'issue en entier, puis le guide de contribution du projet.
  2. Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
  3. Forkez le dépôt et travaillez sur une branche.
  4. Ouvrez une pull request qui référence le numéro de l'issue.

Autres issues de dfa1/vortex-java

Toutes les issues de dfa1/vortex-java

Issues similaires

Plus d'issues Java

Recevez les nouvelles issues par e-mail

Un résumé court des issues GitHub adaptées aux débutants.