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Text of the page (random words):
panda 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 api table of contents tables table metadata scanning file level row level update operations transactions types primitives nested types expressions expression binding expression example modules 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 javadoc pyiceberg 1 4 2 1 4 2 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 javadoc pyiceberg 1 4 1 1 4 1 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 javadoc pyiceberg 1 4 0 1 4 0 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 javadoc pyiceberg archive other implementations other implementations python rust go c third party third party catalogs catalogs apache gravitino apache polaris boring catalog datahub google biglake metastore lakekeeper integrations integrations amazon athena amazon data firehose amazon emr amazon redshift apache amoro apache doris apache druid apache fluss bladepipe clickhouse daft databend dremio duckdb estuary firebolt google bigquery impala memiiso debezium microsoft onelake nimtable olake presto redpanda risingwave ryft sail snowflake stackable starburst starrocks tinybird trino releases project project contributing multi engine support developer snapshot testing benchmarks security how to release asf asf sponsorship events privacy license security sponsors community community community talks vendors blog specification specification terms rest catalog spec table spec view spec puffin spec aes gcm stream spec udf spec implementation status table of contents tables table metadata scanning file level row level update operations transactions types primitives nested types expressions expression binding expression example modules home docs java previous 1 9 1 api iceberg java api tables the main purpose of the iceberg api is to manage table metadata like schema partition spec metadata and data files that store table data table metadata and operations are accessed through the table interface this interface will return table information table metadata the table interface provides access to the table metadata schema returns the current table schema spec returns the current table partition spec properties returns a map of key value properties currentsnapshot returns the current table snapshot snapshots returns all valid snapshots for the table snapshot id returns a specific snapshot by id location returns the table s base location tables also provide refresh to update the table to the latest version and expose helpers io returns the fileio used to read and write table files locationprovider returns a locationprovider used to create paths for data and metadata files scanning file level iceberg table scans start by creating a tablescan object with newscan tablescan scan table newscan to configure a scan call filter and select on the tablescan to get a n...