Releases: GoogleCloudDataproc/spark-bigquery-connector
Releases · GoogleCloudDataproc/spark-bigquery-connector
0.36.0
- PR #1155: allow lazy materialization of query on load
- PR #1163: Added config to set the BigQuery Job timeout
- PR #1166: Fix filters by adding surrounding parenthesis. Thanks @tom-s-powell !
- PR #1171: fix read, write issues with Timestamp
- Issue #1116: BigQuery write fails with MessageSize is too large
- BigQuery API has been upgraded to version 2.36.0
- GAX has been upgraded to version 2.40.0
- gRPC has been upgraded to version 1.61.0
- Netty has been upgraded to version 4.1.106.Final
- Protocol Buffers has been upgraded to version 3.25.2
0.35.1
0.35.0
- PR #1115: Added new connector,
spark-3.5-bigquery
aimed to be used in Spark 3.5. This connector implements new APIs and capabilities provided by the Spark Data Source V2 API. - PR #1117: Make read session caching duration configurable
- PR #1118: Improve read session caching key
- PR #1122: Set traceId on write
- PR #1124: Added
SparkListenerEvent
s for Query and Load jobs running on BigQuery - PR #1127: Fix job labeling for mixed case Dataproc job names
- PR #1136: Consider projections for biglake stats
- PR #1143: Enable async write for default stream
- BigQuery API has been upgraded to version 2.35.0
- BigQuery Storage API has been upgraded to version 2.47.0
- GAX has been upgraded to version 2.38.0
- gRPC has been upgraded to version 1.60.0
- Netty has been upgraded to version 4.1.101.Final
- Protocol Buffers has been upgraded to version 3.25.1
0.34.0
- PR #1057: Enable async writes for greater throughput
- PR #1094: CVE-2023-5072: Upgrading the org.json:json dependency
- PR #1095: CVE-2023-4586: Upgrading the netty dependencies
- PR #1104: Fixed nested field predicate pushdown
- PR #1109: Enable read session caching by default for faster Spark planning
- PR #1111: Enable retry of failed messages
- Issue #103: Support for Dynamic partition overwrite for time and range partitioned table
- Issue #1099: Fixing the usage of ExternalAccountCredentials
- BigQuery API has been upgraded to version 2.33.2
- BigQuery Storage API has been upgraded to version 2.44.0
- GAX has been upgraded to version 2.35.0
- gRPC has been upgraded to version 1.58.0
- Protocol Buffers has been upgraded to version 3.24.4
0.33.0
- Added new connector,
spark-3.4-bigquery
aimed to be used in Spark 3.4 and above. This connector implements new APIs and capabilities provided by the Spark Data Source V2 API. - PR #1008: Adding support to expose BigQuery metrics using Spark custom metrics API.
- PR #1038: Logical plan now shows the BigQuery table of DirectBigQueryRelation. Thanks @idc101 !
- PR #1058: View names will appear in query plan instead of the materialized table
- PR #1061: Handle NPE case when reading BQ table with NUMERIC fields. Thanks @hayssams !
- PR #1069: Support TimestampNTZ datatype in spark 3.4
- Issue #453: fix comment handling in query
- Issue #144: allow writing Spark String to BQ TIME type
- Issue #867: Support writing with RangePartitioning
- Issue #1046: Add a way to disable map type support
- Issue #1062: Adding dataproc job ID and UUID labels to BigQuery jobs
0.32.2
- CVE-2023-34462: Upgrading netty to verision 4.1.96.Final
0.32.1
- PR #1025: Handle Java 8 types for dates and timestamps when compiling filters. Thanks @tom-s-powell !
- Issue #1026: Fixing Numeric conversion
- Issue #1028: Fixing PolicyTags removal on overwrite
0.32.0
0.31.1
0.31.0
⚠️ Breaking Change BigNumeric conversion has changed, and it is now converted to Spark's
Decimal data type. Notice that BigNumeric can have a wider precision than Decimal, so additional
setting may be needed. See here
for additional details.- Issue #945: Fixing unable to add new column even with option
allowFieldAddition
- PR #965: Fix to reuse the same BigQueryClient for the same BigQueryConfig, rather than creating a new one
- PR #950: Added support for service account impersonation
- PR #960: Added support for basic configuration of the gRPC channel pool size in the BigQueryReadClient.
- PR #973: Added support for writing to CMEK managed tables.
- PR #971: Fixing wrong results or schema error when Spark nested schema pruning is on for datasource v2
- PR #974: Applying DPP to Hive partitioned BigLake tables (spark-3.2-bigquery and spark-3.3-bigquery only)
- PR #986: CVE-2020-8908, CVE-2023-2976: Upgrading Guava to version 32.0-jre
- BigQuery API has been upgraded to version 2.26.0
- BigQuery Storage API has been upgraded to version 2.36.1
- GAX has been upgraded to version 2.26.0
- gRPC has been upgraded to version 1.55.1
- Netty has been upgraded to version 4.1.92.Final
- Protocol Buffers has been upgraded to version 3.23.0
- PR #957: support direct write with subset field list.