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https://issues.apache.org/jira/browse/FLINK-30679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
hehuiyuan updated FLINK-30679:
------------------------------
Component/s: Connectors / Hive
> Can not load the data of hive dim table when project-push-down is introduced
> ----------------------------------------------------------------------------
>
> Key: FLINK-30679
> URL: https://issues.apache.org/jira/browse/FLINK-30679
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Hive
> Reporter: hehuiyuan
> Priority: Critical
>
> vectorize read:
>
> {code:java}
> java.lang.ArrayIndexOutOfBoundsException: 3
> at
> org.apache.flink.connectors.hive.read.HiveTableInputFormat.useOrcVectorizedRead(HiveTableInputFormat.java:276)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at
> org.apache.flink.connectors.hive.read.HiveTableInputFormat.open(HiveTableInputFormat.java:129)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at
> org.apache.flink.connectors.hive.read.HiveInputFormatPartitionReader.open(HiveInputFormatPartitionReader.java:86)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at
> org.apache.flink.table.filesystem.FileSystemLookupFunction.checkCacheReload(FileSystemLookupFunction.java:132)
> ~[flink-table-runtime_2.11-1.14.6.jar:1.14.6]
> at
> org.apache.flink.table.filesystem.FileSystemLookupFunction.eval(FileSystemLookupFunction.java:105)
> ~[flink-table-runtime_2.11-1.14.6.jar:1.14.6]
> at LookupFunction$26.flatMap(Unknown Source) ~[?:?] {code}
>
>
> mapreduce read:
>
> {code:java}
> java.lang.ArrayIndexOutOfBoundsException: 3
> at
> org.apache.flink.connectors.hive.read.HiveMapredSplitReader.lambda$new$0(HiveMapredSplitReader.java:139)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at java.util.stream.IntPipeline$4$1.accept(IntPipeline.java:250)
> ~[?:1.8.0_301]
> at
> java.util.Spliterators$IntArraySpliterator.forEachRemaining(Spliterators.java:1032)
> ~[?:1.8.0_301]
> at java.util.Spliterator$OfInt.forEachRemaining(Spliterator.java:693)
> ~[?:1.8.0_301]
> at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
> ~[?:1.8.0_301]
> at
> java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
> ~[?:1.8.0_301]
> at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:546)
> ~[?:1.8.0_301]
> at
> java.util.stream.AbstractPipeline.evaluateToArrayNode(AbstractPipeline.java:260)
> ~[?:1.8.0_301]
> at java.util.stream.ReferencePipeline.toArray(ReferencePipeline.java:438)
> ~[?:1.8.0_301]
> at
> org.apache.flink.connectors.hive.read.HiveMapredSplitReader.<init>(HiveMapredSplitReader.java:141)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at
> org.apache.flink.connectors.hive.read.HiveTableInputFormat.open(HiveTableInputFormat.java:157)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at
> org.apache.flink.connectors.hive.read.HiveInputFormatPartitionReader.open(HiveInputFormatPartitionReader.java:86)
> ~[flink-connector-hive-1.14.1-SNAPSHOT.jar:1.14-SNAPSHOT]
> at
> org.apache.flink.table.filesystem.FileSystemLookupFunction.checkCacheReload(FileSystemLookupFunction.java:132)
> ~[flink-table-runtime_2.11-1.14.6.jar:1.14.6]
> at
> org.apache.flink.table.filesystem.FileSystemLookupFunction.eval(FileSystemLookupFunction.java:105)
> ~[flink-table-runtime_2.11-1.14.6.jar:1.14.6]
> at LookupFunction$26.flatMap(Unknown Source) ~[?:?]
> at
> org.apache.flink.table.runtime.operators.join.lookup.LookupJoinRunner.processElement(LookupJoinRunner.java:81)
> ~[flink-table-runtime_2.11-1.14.6.jar:1.14.6]
> at
> org.apache.flink.table.runtime.operators.join.lookup.LookupJoinRunner.processElement(LookupJoinRunner.java:34)
> ~[flink-table-runtime_2.11-1.14.6.jar:1.14.6] {code}
>
>
> The sql :
>
> {code:java}
> CREATE TABLE kafkaTableSource (
> name string,
> age int,
> sex string,
> address string,
> ptime AS PROCTIME()
> ) WITH (
> 'connector' = 'kafka',
> 'topic' = 'hehuiyuan1',
> 'scan.startup.mode' = 'latest-offset',
> 'properties.bootstrap.servers' = 'localhost:9092',
> 'properties.client.id' = 'test-consumer-group',
> 'properties.group.id' = 'test-consumer-group',
> 'format' = 'csv'
> );
> CREATE TABLE printsink (
> name string,
> age int,
> sex string,
> address string,
> score bigint,
> dt string
> ) WITH (
> 'connector' = 'print'
> );
> CREATE CATALOG myhive
> WITH (
> 'type' = 'hive',
> 'default-database' = 'hhy',
> 'hive-version' = '2.0.0',
>
> 'hadoop-conf-dir'='/Users/hehuiyuan/soft/hadoop/hadoop-2.7.3/etc/hadoop'
> );
> USE CATALOG myhive;
> USE hhy;
> set table.sql-dialect=hive;
> CREATE TABLE IF NOT EXISTS tmp_flink_test_text (
> name STRING,
> age INT,
> score BIGINT
> ) PARTITIONED BY (dt STRING) STORED AS TEXTFILE TBLPROPERTIES (
> 'streaming-source.enable' = 'false',
> 'streaming-source.partition.include' = 'all',
> 'lookup.join.cache.ttl' = '5 min'
> );
> set table.sql-dialect=default;
> USE CATALOG default_catalog;
> INSERT INTO default_catalog.default_database.printsink
> SELECT s.name, s.age, s.sex, s.address, r.score, r.dt
> FROM default_catalog.default_database.kafkaTableSource as s
> JOIN myhive.hhy.tmp_flink_test_text FOR SYSTEM_TIME AS OF s.ptime AS r
> ON r.name = s.name;
> {code}
>
>
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