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er table taxis rename column trip_distance to distance done hidden partitioning iceberg handles the tedious and error prone task of producing partition values for rows in a table and skips unnecessary partitions and files automatically no extra filters are needed for fast queries and table layout can be updated as data or queries change learn more time travel and rollback time travel enables reproducible queries that use exactly the same table snapshot or lets users easily examine changes version rollback allows users to quickly correct problems by resetting tables to a good state learn more select count from nyc taxis 2 853 020 select count from nyc taxis for version as of 2188465307835585443 2 798 371 select count from nyc taxis for timestamp as of timestamp 2022 01 01 00 00 00 000000 z 2 798 371 data compaction data compaction is supported out of the box and you can choose from different rewrite strategies such as bin packing or sorting to optimize file layout and size call system rewrite_data_files nyc taxis apache iceberg home quickstart quickstart spark flink hive docs docs java java latest 1 11 0 latest 1 11 0 introduction concepts concepts tables tables branching and tagging configuration encryption evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration api api quickstart api file i o javadoc integrations integrations apache spark apache spark getting started configuration ddl procedures queries structured streaming writes apache flink apache flink getting started flink connector flink ddl flink queries flink writes flink tablemaintenance flink configuration kafka connect apache hive migration migration overview hive migration delta lake migration catalogs catalogs catalog properties aws glue aws dynamodb hadoopcatalog hivecatalog jdbc java custom catalog nessie storage storage aws s3 dell ecs nightly nightly introduction concepts concepts tables tables branching and tagging configuration encryption evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration api api quickstart api file i o javadoc integrations integrations apache spark apache spark getting started configuration ddl procedures queries structured streaming writes apache flink apache flink getting started flink connector flink ddl flink queries flink writes flink tablemaintenance flink configuration kafka connect apache hive migration migration overview hive migration delta lake migration catalogs catalogs catalog properties aws glue aws dynamodb hadoopcatalog hivecatalog jdbc java custom catalog nessie storage storage aws s3 dell ecs previous previous 1 10 2 1 10 2 introduction concepts concepts tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration api api quickstart api javadoc integrations integrations apache spark apache spark getting started configuration ddl procedures queries structured streaming writes apache flink apache flink flink getting started flink connector flink ddl flink queries flink writes flink tablemaintenance flink configuration kafka connect apache hive third party third party apache amoro amazon athena amazon data firehose amazon emr amazon redshift apache doris apache druid bladepipe clickhouse daft databend dremio duckdb estuary firebolt google bigquery impala memiiso debezium olake presto redpanda risingwave snowflake starrocks tinybird trino catalogs catalogs aws glue aws dynamodb java custom catalog jdbc nessie storage storage aws s3 dell ecs 1 10 1 1 10 1 introduction concepts concepts tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration api api quickstart api javadoc integrations integrations apache spark apache spark getting started configuration ddl procedures queries structured streaming writes apache flink apache flink flink getting started flink connector flink ddl flink queries flink writes flink tablemaintenance flink configuration kafka connect apache hive third party third party apache amoro amazon athena amazon data firehose amazon emr amazon redshift apache doris apache druid bladepipe clickhouse daft databend dremio duckdb estuary firebolt google bigquery impala memiiso debezium olake presto redpanda risingwave snowflake starrocks tinybird trino catalogs catalogs aws glue aws dynamodb java custom catalog jdbc nessie storage storage aws s3 dell ecs 1 10 0 1 10 0 introduction concepts concepts tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration api api quickstart api javadoc integrations integrations apache spark apache spark getting started configuration ddl procedures queries structured streaming writes apache flink apache flink flink getting started flink connector flink ddl flink queries flink writes flink tablemaintenance flink configuration kafka connect apache hive third party third party apache amoro amazon athena amazon data firehose amazon emr amazon redshift apache doris apache druid bladepipe clickhouse daft databend dremio duckdb estuary firebolt google bigquery impala memiiso debezium olake presto redpanda risingwave snowflake starrocks tinybird trino catalogs catalogs aws glue aws dynamodb java custom catalog jdbc nessie storage storage aws s3 dell ecs 1 9 2 1 9 2 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft estuary risingwave clickhouse presto dremio starrocks amoro amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust iceberggo 1 9 1 1 9 1 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft estuary risingwave clickhouse presto dremio starrocks amoro amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust iceberggo 1 9 0 1 9 0 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft estuary risingwave clickhouse presto dremio starrocks amoro amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust iceberggo 1 8 1 1 8 1 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft risingwave clickhouse presto dremio starrocks amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust iceberggo 1 8 0 1 8 0 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft risingwave clickhouse presto dremio starrocks amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust iceberggo 1 7 2 1 7 2 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft clickhouse presto dremio starrocks amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 7 1 1 7 1 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft clickhouse presto dremio starrocks amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 7 0 1 7 0 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft clickhouse presto dremio starrocks amazon athena amazon emr amazon data firehose amazon redshift google bigquery snowflake impala doris druid kafka connect integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 6 1 1 6 1 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft clickhouse presto dremio starrocks amazon athena amazon emr google bigquery snowflake impala doris integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 6 0 1 6 0 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino daft clickhouse presto dremio starrocks amazon athena amazon emr google bigquery snowflake impala doris integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 5 2 1 5 2 introduction tables tables branching and tagging configuration evolution maintenance partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino clickhouse presto dremio starrocks amazon athena amazon emr snowflake impala doris integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 5 1 1 5 1 introduction tables tables branching and tagging configuration evolution maintenance partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino clickhouse presto dremio starrocks amazon athena amazon emr snowflake impala doris integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 5 0 1 5 0 introduction tables tables branching and tagging configuration evolution maintenance partitioning performance reliability schemas views views configuration spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino clickhouse presto dremio starrocks amazon athena amazon emr snowflake impala doris integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog javadoc pyiceberg icebergrust 1 4 3 1 4 3 introduction tables tables branching and tagging configuration evolution maintenance metrics reporting partitioning performance reliability schemas spark spark getting started configuration ddl procedures queries structured streaming writes flink flink flink getting started flink connector flink ddl flink queries flink writes flink actions flink configuration hive trino clickhouse presto dremio starrocks amazon athena amazon emr impala doris integrations integrations aws dell jdbc nessie api api java quickstart java api java custom catalog migration migration overview hive migration delta lake migration ...
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