Read kafka data in real time failed to be written to hive

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What happened

Read kafka data in real time. Incremental data writing to the hive cannot be implemented. After a task is started, only one file is written to the hdfs using the hive metadata service

SeaTunnel Version

2.3.5

SeaTunnel Config

{
    "env": {
        "parallelism": 1,
        "job.mode": "STREAMING",
        "checkpoint.interval": 10000,
        "job.name": "seatunnel_1722581282427"
    },
    "source": [
        {
            "plugin_name": "kafka",
            "topic": "ods_vehicle_info_up_stress",
            "consumer.group": "kafka_stress_1",
            "bootstrap.servers": "10.188.15.181:9092",
            "format": "json",
            "schema": {
                "fields": {
                    "acc_long": "double",
                    "device_id": "string",
                    "device_sn": "string",
                    "hea": "double",
                    "spd": "double",
                    "vehicle_speed": "double",
                    "outof_control": "boolean",
                    "vehicle_type": "int",
                    "lane_number": "int",
                    "lon": "double",
                    "abs_activate": "boolean",
                    "endurance": "double",
                    "acc_lat": "double",
                    "vehicle_num": "string",
                    "limit_speed": "int",
                    "acc_vert": "double",
                    "emergency_status": "boolean",
                    "palstance": "double",
                    "drive_status": "int",
                    "acc_yaw": "double",
                    "lat": "double",
                    "region_code": "bigint"
                }
            },
            "result_table_name": "source_kafka_001"
        }
    ],
    "transform": [
        {
            "plugin_name": "FieldMapper",
            "source_table_name": "source_kafka_001",
            "result_table_name": "source_kafka_002",
            "field_mapper": {
                "acc_long": "acc_long",
                "device_id": "device_id",
                "device_sn": "device_sn",
                "hea": "hea",
                "spd": "spd",
                "vehicle_speed": "vehicle_speed",
                "outof_control": "outof_control",
                "vehicle_type": "vehicle_type",
                "lane_number": "lane_number",
                "lon": "lon",
                "abs_activate": "abs_activate",
                "endurance": "endurance",
                "acc_lat": "acc_lat",
                "vehicle_num": "vehicle_num",
                "limit_speed": "limit_speed",
                "acc_vert": "acc_vert",
                "emergency_status": "emergency_status",
                "palstance": "palstance",
                "drive_status": "drive_status",
                "acc_yaw": "acc_yaw",
                "lat": "lat",
                "region_code": "region_code"
            }
        },
        {
            "plugin_name": "Sql",
            "source_table_name": "source_kafka_002",
            "result_table_name": "source_kafka_003",
            "query": "select device_sn,vehicle_type,vehicle_num,drive_status,emergency_status,abs_activate,outof_control,lon,lat,hea,spd,acc_long,acc_lat,acc_vert,acc_yaw,endurance,vehicle_speed,lane_number,limit_speed,palstance,device_id,region_code,null as ele,null as vip_status,null as accelerator_pedal_position,null as distance_traveled,null as fuel_level_input,null as maf,null as stft,null as ltft,null as dtime,null as rsp_id from source_kafka_002"
        }
    ],
    "sink": [
        {
            "plugin_name": "Hive",
            "source_table_name": "source_kafka_003",
            "table_name": "data_pressure_test.ods_vehicle_info_up_60",
            "metastore_uri": "thrift://cdh-node7:9083",
            "krb5_path": "/etc/krb5.conf",
            "kerberos_principal": "sxh_1182736820@GOHIGH.COM",
            "kerberos_keytab_path": "/etc/krb/keytab/sxh_1182736820.keytab",
            "hdfs_site_path": "/home/gh-cloud/apache-seatunnel-2.3.5/hive-conf/hdfs-site.xml",
            "hive_site_path": "/home/gh-cloud/apache-seatunnel-2.3.5/hive-conf/hive-site.xml"
        }
    ]
}

Running Command

${FLINK_HOME}/bin/flink run -t yarn-per-job -Denv.java.opts=-Dfile.encoding=UTF-8 -Dsun.jnu.encoding=UTF-8 -c org.apache.seatunnel.core.starter.flink.SeaTunnelFlink /home/gh-cloud/apache-seatunnel-2.3.5/starter/seatunnel-flink-15-starter.jar --config /tmp/dolphinscheduler/exec/process/root/115845810057216/115866503969792_17/245377/246565/seatunnel_245377_246565.json --name SeaTunnel

Error Exception

Incremental kafka real-time data cannot be written to hive

Zeta or Flink or Spark Version

flink 1.15

Java or Scala Version

No response

Screenshots