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# Properti konfigurasi Flink terprogram
<a name="programmatic-configuration"></a>

Berikut ini adalah properti konfigurasi Flink yang dapat Anda modifikasi langsung dalam kode aplikasi Anda. Dimulai dengan MSF 2.2, pengecualian akan dilemparkan jika Anda mencoba memodifikasi properti yang tidak tercantum di halaman ini dalam kode aplikasi Anda.

**catatan**  
Properti ini berbeda dari pengaturan yang dimodifikasi melalui kasus AWS Support. Untuk pengaturan tingkat infrastruktur seperti TaskManager memori, backend status, penyetelan RocksDB, dan strategi restart, lihat. [Properti konfigurasi Flink yang dapat dimodifikasi](reference-modifiable-settings.md)

## Konfigurasi alur
<a name="programmatic-configuration-pipeline"></a>

`execution.runtime-mode`

`pipeline.auto-generate-uids`

`pipeline.auto-watermark-interval`

`pipeline.cached-files`

`pipeline.classpaths`

`pipeline.closure-cleaner-level`

`pipeline.force-avro`

`pipeline.force-kryo`

`pipeline.generic-types`

`pipeline.global-job-parameters`

`pipeline.jars`

`pipeline.jobvertex-parallelism-overrides`

`pipeline.max-parallelism`

`pipeline.name`

`pipeline.object-reuse`

`pipeline.operator-chaining.chain-operators-with-different-max-parallelism`

`pipeline.operator-chaining.enabled`

`pipeline.serialization-config`

`pipeline.vertex-description-mode`

`pipeline.vertex-name-include-index-prefix`

`pipeline.watermark-alignment.allow-unaligned-source-splits`

## API Python
<a name="programmatic-configuration-python"></a>

`python.execution-mode`

`python.operator-chaining.enabled`

`python.job-options`

`python.internal.archives-key-map`

`python.internal.files-key-map`

`python.internal.requirements-file-key`

## Tabel API/SQL
<a name="programmatic-configuration-table-api"></a>

`table.exec.async-lookup.buffer-capacity`

`table.exec.async-lookup.key-ordered-enabled`

`table.exec.async-lookup.output-mode`

`table.exec.async-lookup.timeout`

`table.exec.async-ml-predict.max-concurrent-operations`

`table.exec.async-ml-predict.output-mode`

`table.exec.async-ml-predict.timeout`

`table.exec.async-scalar.max-concurrent-operations`

`table.exec.async-scalar.max-attempts`

`table.exec.async-scalar.retry-delay`

`table.exec.async-scalar.retry-strategy`

`table.exec.async-scalar.timeout`

`table.exec.async-state.enabled`

`table.exec.async-table.max-concurrent-operations`

`table.exec.async-table.max-retries`

`table.exec.async-table.retry-delay`

`table.exec.async-table.retry-strategy`

`table.exec.async-table.timeout`

`table.exec.async-vector-search.max-concurrent-operations`

`table.exec.async-vector-search.output-mode`

`table.exec.async-vector-search.timeout`

`table.exec.deduplicate.insert-update-after-sensitive-enabled`

`table.exec.deduplicate.mini-batch.compact-changes-enabled`

`table.exec.delta-join.cache-enabled`

`table.exec.disabled-operators`

`table.exec.iceberg.use-v2-sink`

`table.exec.interval-join.min-cleanup-interval`

`table.exec.legacy-cast-behaviour`

`table.exec.local-hash-agg.adaptive.distinct-value-rate-threshold`

`table.exec.local-hash-agg.adaptive.enabled`

`table.exec.local-hash-agg.adaptive.sampling-threshold`

`table.exec.mini-batch.allow-latency`

`table.exec.mini-batch.enabled`

`table.exec.mini-batch.size`

`table.exec.operator-fusion-codegen.enabled`

`table.exec.simplify-operator-name-enabled`

`table.exec.sink.keyed-shuffle`

`table.exec.sink.nested-constraint-enforcer`

`table.exec.sink.not-null-enforcer`

`table.exec.sink.rowtime-inserter`

`table.exec.sink.type-length-enforcer`

`table.exec.sink.upsert-materialize`

`table.exec.sink.upsert-materialize-strategy.adaptive.threshold.high`

`table.exec.sink.upsert-materialize-strategy.adaptive.threshold.low`

`table.exec.sink.upsert-materialize-strategy.type`

`table.exec.sort.async-merge-enabled`

`table.exec.sort.default-limit`

`table.exec.sort.max-num-file-handles`

`table.exec.source.cdc-events-duplicate`

`table.exec.source.idle-timeout`

`table.exec.spill-compression.block-size`

`table.exec.spill-compression.enabled`

`table.exec.state.ttl`

`table.exec.uid.format`

`table.exec.uid.generation`

`table.exec.unbounded-over.version`

`table.exec.window-agg.buffer-size-limit`

`table.optimizer.agg-phase-strategy`

`table.optimizer.adaptive-broadcast-join.strategy`

`table.optimizer.bushy-join-reorder-threshold`

`table.optimizer.delta-join.strategy`

`table.optimizer.distinct-agg.split.bucket-num`

`table.optimizer.distinct-agg.split.enabled`

`table.optimizer.dynamic-filtering.enabled`

`table.optimizer.incremental-agg-enabled`

`table.optimizer.join-reorder-enabled`

`table.optimizer.multi-join.enabled`

`table.optimizer.multiple-input-enabled`

`table.optimizer.non-deterministic-update.strategy`

`table.optimizer.reuse-optimize-block-with-digest-enabled`

`table.optimizer.reuse-sink-enabled`

`table.optimizer.reuse-source-enabled`

`table.optimizer.reuse-sub-plan-enabled`

`table.optimizer.runtime-filter.enabled`

`table.optimizer.skewed-join-optimization.skewed-factor`

`table.optimizer.skewed-join-optimization.skewed-threshold`

`table.optimizer.skewed-join-optimization.strategy`

`table.optimizer.source.report-statistics-enabled`

`table.optimizer.union-all-as-breakpoint-enabled`

`table.builtin-catalog-name`

`table.builtin-database-name`

`table.catalog-modification.listeners`

`table.column-expansion-strategy`

`table.display.max-column-width`

`table.dml-sync`

`table.dynamic-table-options.enabled`

`table.generated-code.max-length`

`table.legacy-nested-row-nullability`

`table.local-time-zone`

`table.plan.compile.catalog-objects`

`table.plan.force-recompile`

`table.plan.restore.catalog-objects`

`table.rtas-ctas.atomicity-enabled`

`table.sql-dialect`