bigint hive java类型_详解Apache Hudi如何配置各种类型分区
1. 引入
Apache Hudi支持多種分區(qū)方式數(shù)據(jù)集,如多級分區(qū)、單分區(qū)、時間日期分區(qū)、無分區(qū)數(shù)據(jù)集等,用戶可根據(jù)實際需求選擇合適的分區(qū)方式,下面來詳細了解Hudi如何配置何種類型分區(qū)。
2. 分區(qū)處理
為說明Hudi對不同分區(qū)類型的處理,假定寫入Hudi的Schema如下
{ "type" : "record", "name" : "HudiSchemaDemo", "namespace" : "hoodie.HudiSchemaDemo", "fields" : [ { "name" : "age", "type" : [ "long", "null" ] }, { "name" : "location", "type" : [ "string", "null" ] }, { "name" : "name", "type" : [ "string", "null" ] }, { "name" : "sex", "type" : [ "string", "null" ] }, { "name" : "ts", "type" : [ "long", "null" ] }, { "name" : "date", "type" : [ "string", "null" ] } ]}其中一條具體數(shù)據(jù)如下
{ "name": "zhangsan", "ts": 1574297893837, "age": 16, "location": "beijing", "sex":"male", "date":"2020/08/16"}2.1 單分區(qū)
單分區(qū)表示使用一個字段表示作為分區(qū)字段的場景,可具體分為非日期格式字段(如location)和日期格式字段(如date)
2.1.1 非日期格式字段分區(qū)
如使用上述location字段做為分區(qū)字段,在寫入Hudi并同步至Hive時配置如下
df.write().format("org.apache.hudi"). options(getQuickstartWriteConfigs()). option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY(), "COPY_ON_WRITE"). option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY(), "ts"). option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY(), "name"). option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY(), partitionFields). option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY(), keyGenerator). option(TABLE_NAME, tableName). option("hoodie.datasource.hive_sync.enable", true). option("hoodie.datasource.hive_sync.table", tableName). option("hoodie.datasource.hive_sync.username", "root"). option("hoodie.datasource.hive_sync.password", "123456"). option("hoodie.datasource.hive_sync.jdbcurl", "jdbc:hive2://localhost:10000"). option("hoodie.datasource.hive_sync.partition_fields", hivePartitionFields). option("hoodie.datasource.write.table.type", "COPY_ON_WRITE"). option("hoodie.embed.timeline.server", false). option("hoodie.datasource.hive_sync.partition_extractor_class", hivePartitionExtractorClass). mode(saveMode). save(basePath);值得注意如下幾個配置項
- DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY()配置為location;
- hoodie.datasource.hive_sync.partition_fields配置為location,與寫入Hudi的分區(qū)字段相同;
- DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY()配置為org.apache.hudi.keygen.SimpleKeyGenerator,或者不配置該選項,默認為org.apache.hudi.keygen.SimpleKeyGenerator;
- hoodie.datasource.hive_sync.partition_extractor_class配置為org.apache.hudi.hive.MultiPartKeysValueExtractor;
Hudi同步到Hive創(chuàng)建的表如下
CREATE EXTERNAL TABLE `notdateformatsinglepartitiondemo`( `_hoodie_commit_time` string, `_hoodie_commit_seqno` string, `_hoodie_record_key` string, `_hoodie_partition_path` string, `_hoodie_file_name` string, `age` bigint, `date` string, `name` string, `sex` string, `ts` bigint)PARTITIONED BY ( `location` string)ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT 'org.apache.hudi.hadoop.HoodieParquetInputFormat'OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION 'file:/tmp/hudi-partitions/notDateFormatSinglePartitionDemo'TBLPROPERTIES ( 'last_commit_time_sync'='20200816154250', 'transient_lastDdlTime'='1597563780')查詢表notdateformatsinglepartitiondemo
tips:?查詢時請先將hudi-hive-sync-bundle-xxx.jar包放入$HIVE_HOME/lib下
2.1.2 日期格式分區(qū)
如使用上述date字段做為分區(qū)字段,核心配置項如下
- DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY()配置為date;
- hoodie.datasource.hive_sync.partition_fields配置為date,與寫入Hudi的分區(qū)字段相同;
- DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY()配置為org.apache.hudi.keygen.SimpleKeyGenerator,或者不配置該選項,默認為org.apache.hudi.keygen.SimpleKeyGenerator;
- hoodie.datasource.hive_sync.partition_extractor_class配置為org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor;
Hudi同步到Hive創(chuàng)建的表如下
CREATE EXTERNAL TABLE `dateformatsinglepartitiondemo`( `_hoodie_commit_time` string, `_hoodie_commit_seqno` string, `_hoodie_record_key` string, `_hoodie_partition_path` string, `_hoodie_file_name` string, `age` bigint, `location` string, `name` string, `sex` string, `ts` bigint)PARTITIONED BY ( `date` string)ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT 'org.apache.hudi.hadoop.HoodieParquetInputFormat'OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION 'file:/tmp/hudi-partitions/dateFormatSinglePartitionDemo'TBLPROPERTIES ( 'last_commit_time_sync'='20200816155107', 'transient_lastDdlTime'='1597564276')查詢表dateformatsinglepartitiondemo
2.2 多分區(qū)
多分區(qū)表示使用多個字段表示作為分區(qū)字段的場景,如上述使用location字段和sex字段,核心配置項如下
- DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY()配置為location,sex;
- hoodie.datasource.hive_sync.partition_fields配置為location,sex,與寫入Hudi的分區(qū)字段相同;
- DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY()配置為org.apache.hudi.keygen.ComplexKeyGenerator;
- hoodie.datasource.hive_sync.partition_extractor_class配置為org.apache.hudi.hive.MultiPartKeysValueExtractor;
Hudi同步到Hive創(chuàng)建的表如下
CREATE EXTERNAL TABLE `multipartitiondemo`( `_hoodie_commit_time` string, `_hoodie_commit_seqno` string, `_hoodie_record_key` string, `_hoodie_partition_path` string, `_hoodie_file_name` string, `age` bigint, `date` string, `name` string, `ts` bigint)PARTITIONED BY ( `location` string, `sex` string)ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT 'org.apache.hudi.hadoop.HoodieParquetInputFormat'OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION 'file:/tmp/hudi-partitions/multiPartitionDemo'TBLPROPERTIES ( 'last_commit_time_sync'='20200816160557', 'transient_lastDdlTime'='1597565166')查詢表multipartitiondemo
2.3 無分區(qū)
無分區(qū)場景是指無分區(qū)字段,寫入Hudi的數(shù)據(jù)集無分區(qū)。核心配置如下
- DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY()配置為空字符串;
- hoodie.datasource.hive_sync.partition_fields配置為空字符串,與寫入Hudi的分區(qū)字段相同;
- DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY()配置為org.apache.hudi.keygen.NonpartitionedKeyGenerator;
- hoodie.datasource.hive_sync.partition_extractor_class配置為org.apache.hudi.hive.NonPartitionedExtractor;
Hudi同步到Hive創(chuàng)建的表如下
CREATE EXTERNAL TABLE `nonpartitiondemo`( `_hoodie_commit_time` string, `_hoodie_commit_seqno` string, `_hoodie_record_key` string, `_hoodie_partition_path` string, `_hoodie_file_name` string, `age` bigint, `date` string, `location` string, `name` string, `sex` string, `ts` bigint)ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT 'org.apache.hudi.hadoop.HoodieParquetInputFormat'OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION 'file:/tmp/hudi-partitions/nonPartitionDemo'TBLPROPERTIES ( 'last_commit_time_sync'='20200816161558', 'transient_lastDdlTime'='1597565767')查詢表nonpartitiondemo
2.4 Hive風格分區(qū)
除了上述幾種常見的分區(qū)方式,還有一種Hive風格分區(qū)格式,如location=beijing/sex=male格式,以location,sex作為分區(qū)字段,核心配置如下
- DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY()配置為location,sex;
- hoodie.datasource.hive_sync.partition_fields配置為location,sex,與寫入Hudi的分區(qū)字段相同;
- DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY()配置為org.apache.hudi.keygen.ComplexKeyGenerator;
- hoodie.datasource.hive_sync.partition_extractor_class配置為org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor;
- DataSourceWriteOptions.HIVE_STYLE_PARTITIONING_OPT_KEY()配置為true;
生成的Hudi數(shù)據(jù)集目錄結構會為如下格式
/location=beijing/sex=maleHudi同步到Hive創(chuàng)建的表如下
CREATE EXTERNAL TABLE `hivestylepartitiondemo`( `_hoodie_commit_time` string, `_hoodie_commit_seqno` string, `_hoodie_record_key` string, `_hoodie_partition_path` string, `_hoodie_file_name` string, `age` bigint, `date` string, `name` string, `ts` bigint)PARTITIONED BY ( `location` string, `sex` string)ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT 'org.apache.hudi.hadoop.HoodieParquetInputFormat'OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION 'file:/tmp/hudi-partitions/hiveStylePartitionDemo'TBLPROPERTIES ( 'last_commit_time_sync'='20200816172710', 'transient_lastDdlTime'='1597570039')查詢表hivestylepartitiondemo
3. 總結
本篇文章介紹了Hudi如何處理不同分區(qū)場景,上述配置的分區(qū)類配置可以滿足絕大多數(shù)場景,當然Hudi非常靈活,還支持自定義分區(qū)解析器,具體可查看KeyGenerator和PartitionValueExtractor類,其中所有寫入Hudi的分區(qū)字段生成器都是KeyGenerator的子類,所有同步至Hive的分區(qū)值解析器都是PartitionValueExtractor的子類。上述示例代碼都已經(jīng)上傳至https://github.com/leesf/hudi-demos,該倉庫會持續(xù)補充各種使用Hudi的Demo,方便開發(fā)者快速了解Hudi,構建企業(yè)級數(shù)據(jù)湖,歡迎star & fork。
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