Merge pull request #194 from alyiwang/master

Get cluster info from cfg_cluster and format kafka events cluster field
This commit is contained in:
Eric Sun 2016-08-03 20:24:07 -07:00 committed by GitHub
commit ef584552be
15 changed files with 334 additions and 131 deletions

View File

@ -28,16 +28,21 @@ import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import metadata.etl.models.EtlJobName;
import models.daos.ClusterDao;
import models.daos.EtlJobDao;
import org.apache.avro.generic.GenericData;
import msgs.KafkaResponseMsg;
import play.Logger;
import play.Play;
import utils.JdbcUtil;
import utils.KafkaConfig;
import utils.KafkaConfig.Topic;
import wherehows.common.kafka.schemaregistry.client.CachedSchemaRegistryClient;
import wherehows.common.kafka.schemaregistry.client.SchemaRegistryClient;
import wherehows.common.schemas.AbstractRecord;
import wherehows.common.utils.ClusterUtil;
import wherehows.common.writers.DatabaseWriter;
@ -48,6 +53,7 @@ import wherehows.common.writers.DatabaseWriter;
*/
public class KafkaConsumerMaster extends UntypedActor {
private static List<Integer> _kafkaJobList;
private static ConsumerConnector _consumer;
private static Properties _kafkaConfig;
private static Map<String, Topic> _kafkaTopics;
@ -64,13 +70,32 @@ public class KafkaConsumerMaster extends UntypedActor {
@Override
public void preStart() throws Exception {
Logger.info("Start the KafkaConsumerMaster actor...");
_kafkaJobList = Play.application().configuration().getIntList("kafka.consumer.etl.jobid", null);;
if (_kafkaJobList == null || _kafkaJobList.size() == 0) {
Logger.error("Kafka job id error, kafkaJobList: " + _kafkaJobList);
getContext().stop(getSelf());
}
Logger.info("Start the KafkaConsumerMaster... Kafka etl job id list: " + _kafkaJobList);
// handle 1 kafka connection
Map<String, Object> kafkaEtlJob = EtlJobDao.getEtlJobById(_kafkaJobList.get(0));
final int kafkaJobRefId = Integer.parseInt(kafkaEtlJob.get("ref_id").toString());
final String kafkaJobName = kafkaEtlJob.get("wh_etl_job_name").toString();
if (!kafkaJobName.equals(EtlJobName.KAFKA_CONSUMER_ETL.name())) {
Logger.error("Kafka job info error: job name '" + kafkaJobName + "' not equal "
+ EtlJobName.KAFKA_CONSUMER_ETL.name());
getContext().stop(getSelf());
}
// get Kafka configurations from database
KafkaConfig.updateKafkaProperties();
KafkaConfig.updateKafkaProperties(kafkaJobRefId);
_kafkaConfig = KafkaConfig.getProperties();
_kafkaTopics = KafkaConfig.getTopics();
// get list of cluster information from database and update ClusterUtil
ClusterUtil.updateClusterInfo(ClusterDao.getClusterInfo());
for (String topic : _kafkaTopics.keySet()) {
// get the processor class and method
final Class processorClass = Class.forName(_kafkaTopics.get(topic).processor);
@ -125,7 +150,7 @@ public class KafkaConsumerMaster extends UntypedActor {
final AbstractRecord record = kafkaMsg.getRecord();
if (record != null && _kafkaTopics.containsKey(topic)) {
Logger.info("Writing to DB kafka event record: " + topic);
Logger.debug("Writing to DB kafka event record: " + topic);
final DatabaseWriter dbWriter = _topicDbWriter.get(topic);
try {
@ -145,6 +170,7 @@ public class KafkaConsumerMaster extends UntypedActor {
@Override
public void postStop() {
Logger.info("Terminating KafkaConsumerMaster...");
if (_consumer != null) {
_consumer.shutdown();
_kafkaConfig.clear();

View File

@ -0,0 +1,51 @@
/**
* Copyright 2015 LinkedIn Corp. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*/
package models.daos;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import utils.JdbcUtil;
import wherehows.common.schemas.ClusterInfo;
public class ClusterDao {
private static final String GET_CLUSTER_INFO = "SELECT * FROM cfg_cluster";
public static List<ClusterInfo> getClusterInfo() throws Exception {
List<Map<String, Object>> rows = JdbcUtil.wherehowsJdbcTemplate.queryForList(GET_CLUSTER_INFO);
List<ClusterInfo> clusters = new ArrayList<>();
for (Map<String, Object> row : rows) {
String clusterCode = row.get("cluster_code").toString();
// skip the default placeholder row
if (clusterCode.equals("[all]")) {
continue;
}
int clusterId = Integer.parseInt(row.get("cluster_id").toString());
String clusterShortName = row.get("cluster_short_name").toString();
String datacenterCode = row.get("data_center_code").toString();
String clusterType = row.get("cluster_type").toString();
String deploymentTierCode = row.get("deployment_tier_code").toString();
clusters.add(
new ClusterInfo(clusterId, clusterCode, clusterShortName, datacenterCode, clusterType, deploymentTierCode));
}
return clusters;
}
}

View File

@ -18,6 +18,7 @@ import java.util.Map;
import java.util.Properties;
import metadata.etl.models.EtlJobName;
import models.daos.EtlJobPropertyDao;
import play.Logger;
/**
@ -29,8 +30,7 @@ public class KafkaConfig {
// Map of <topic_name, topic_content>
private static Map<String, Topic> _topics = new HashMap<>();
public static final EtlJobName KAFKA_GOBBLIN_JOBNAME = EtlJobName.KAFKA_CONSUMER_GOBBLIN_ETL;
public static final Integer KAFKA_GOBBLIN_JOB_REFID = 50;
public static final EtlJobName KAFKA_JOBNAME = EtlJobName.KAFKA_CONSUMER_ETL;
/**
* Class for storing Kafka Topic info
@ -53,15 +53,19 @@ public class KafkaConfig {
* Update Kafka properties and topics from etl_job_properies table
* @throws Exception
*/
public static void updateKafkaProperties() throws Exception {
Properties props = EtlJobPropertyDao.getJobProperties(KAFKA_GOBBLIN_JOBNAME, KAFKA_GOBBLIN_JOB_REFID);
public static void updateKafkaProperties(int kafkaJobRefId) throws Exception {
Properties props = EtlJobPropertyDao.getJobProperties(KAFKA_JOBNAME, kafkaJobRefId);
if (props == null || props.size() < 5) {
Logger.error("Fail to update Kafka job properties for " + KAFKA_JOBNAME.name()
+ ", job ref id: " + kafkaJobRefId);
return;
} else {
Logger.info("Get Kafka job properties for " + KAFKA_JOBNAME.name() + ", job ref id: " + kafkaJobRefId);
}
String[] topics = ((String) props.get("kafka.topics")).split("\\s*,\\s*");
props.remove("kafka.topics");
String[] processors = ((String) props.get("kafka.processors")).split("\\s*,\\s*");
props.remove("kafka.processors");
String[] dbTables = ((String) props.get("kafka.db.tables")).split("\\s*,\\s*");
props.remove("kafka.db.tables");
String[] topics = ((String) props.remove("kafka.topics")).split("\\s*,\\s*");
String[] processors = ((String) props.remove("kafka.processors")).split("\\s*,\\s*");
String[] dbTables = ((String) props.remove("kafka.db.tables")).split("\\s*,\\s*");
_props.clear();
_props.putAll(props);

View File

@ -66,4 +66,6 @@ logger.application=DEBUG
# if have this varialbe, only the id in this list will be scheduled
# scheduler.jobid.whitelist=[1,2,3,4,5,6,7,8,9]
scheduler.check.interval=10
# start the following list of kafka consumer etl jobs
# kafka.consumer.etl.jobid=[44]
application.global=shared.Global

View File

@ -13,12 +13,15 @@
*/
package metadata.etl.kafka;
import java.util.List;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.avro.generic.GenericData;
import wherehows.common.schemas.ClusterInfo;
import wherehows.common.schemas.GobblinTrackingCompactionRecord;
import wherehows.common.schemas.Record;
import wherehows.common.utils.ClusterUtil;
/**
@ -31,7 +34,6 @@ public class GobblinTrackingCompactionProcessor extends KafkaConsumerProcessor {
private final String UrnRegex = "^(\\/\\w+\\/\\w+\\/[\\w-]+)\\/([\\w-]+)\\/(\\d+.*)$";
private final Pattern UrnPattern = Pattern.compile(UrnRegex);
/**
* Process a Gobblin tracking event compaction record
* @param record
@ -53,7 +55,8 @@ public class GobblinTrackingCompactionProcessor extends KafkaConsumerProcessor {
final Map<String, String> metadata = (Map<String, String>) record.get("metadata");
final String jobContext = "Gobblin:" + name;
final String cluster = parseClusterIdentifier(metadata.get("clusterIdentifier")).get("cluster");
final String cluster = ClusterUtil.matchClusterCode(metadata.get("clusterIdentifier"));
// final String cluster = parseClusterIdentifier(metadata.get("clusterIdentifier")).get("cluster");
final String projectName = metadata.get("azkabanProjectName");
final String flowId = metadata.get("azkabanFlowId");
final String jobId = metadata.get("azkabanJobId");

View File

@ -13,12 +13,15 @@
*/
package metadata.etl.kafka;
import java.util.List;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.avro.generic.GenericData;
import wherehows.common.schemas.ClusterInfo;
import wherehows.common.schemas.GobblinTrackingDistcpNgRecord;
import wherehows.common.schemas.Record;
import wherehows.common.utils.ClusterUtil;
/**
@ -51,7 +54,7 @@ public class GobblinTrackingDistcpNgProcessor extends KafkaConsumerProcessor {
final Map<String, String> metadata = (Map<String, String>) record.get("metadata");
final String jobContext = "DistcpNG:" + name;
final String cluster = parseClusterIdentifier(metadata.get("clusterIdentifier")).get("cluster");
final String cluster = ClusterUtil.matchClusterCode(metadata.get("clusterIdentifier"));
final String projectName = metadata.get("azkabanProjectName");
final String flowId = metadata.get("azkabanFlowId");
final String jobId = metadata.get("azkabanJobId");

View File

@ -19,6 +19,7 @@ import java.util.regex.Pattern;
import org.apache.avro.generic.GenericData;
import wherehows.common.schemas.GobblinTrackingLumosRecord;
import wherehows.common.schemas.Record;
import wherehows.common.utils.ClusterUtil;
public class GobblinTrackingLumosProcessor extends KafkaConsumerProcessor {
@ -59,7 +60,7 @@ public class GobblinTrackingLumosProcessor extends KafkaConsumerProcessor {
logger.info("Processing Gobblin tracking event record: " + name + ", timestamp: " + timestamp);
final String jobContext = "Lumos:" + name;
final String cluster = parseClusterIdentifier(metadata.get("clusterIdentifier")).get("cluster");
final String cluster = ClusterUtil.matchClusterCode(metadata.get("clusterIdentifier"));
final String projectName = metadata.get("azkabanProjectName");
final String flowId = metadata.get("azkabanFlowId");
final String jobId = metadata.get("azkabanJobId");

View File

@ -13,10 +13,6 @@
*/
package metadata.etl.kafka;
import java.util.HashMap;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.avro.generic.GenericData;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -31,11 +27,6 @@ public abstract class KafkaConsumerProcessor {
protected static final Logger logger = LoggerFactory.getLogger(KafkaConsumerProcessor.class);
// for 'ltx1-holdemrm01.grid.linkedin.com:8032', extract 'ltx1', 'holdem'
private final String ClusterIdentifierRegex = "^(\\w{4})-(\\w+)\\w{2}\\d{2}\\.grid.*$";
private final Pattern ClusterIdentifierPattern = Pattern.compile(ClusterIdentifierRegex);
/**
* Abstract method 'process' to be implemented by specific processor
* input Kafka record, process information and write to DB.
@ -59,24 +50,4 @@ public abstract class KafkaConsumerProcessor {
}
}
/**
* Parse cluster identifier to get datacenter and cluster
* if length > 10 and in the form of 'ltx1-holdemrm01.grid.linkedin.com:8032', extract 'ltx1', 'holdem'
* otherwise, put the original String as cluster
* @param text String
* @return Map<String, String>
*/
protected Map<String, String> parseClusterIdentifier(String text) {
final Map<String, String> map = new HashMap<>(4);
if (text.length() > 10) {
final Matcher m = ClusterIdentifierPattern.matcher(text);
if (m.find()) {
map.put("datacenter", m.group(1));
map.put("cluster", m.group(2));
}
} else {
map.put("cluster", text);
}
return map;
}
}

View File

@ -16,6 +16,7 @@ package metadata.etl.kafka;
import org.apache.avro.generic.GenericData;
import wherehows.common.schemas.MetastoreAuditRecord;
import wherehows.common.schemas.Record;
import wherehows.common.utils.ClusterUtil;
public class MetastoreAuditProcessor extends KafkaConsumerProcessor {
@ -35,28 +36,28 @@ public class MetastoreAuditProcessor extends KafkaConsumerProcessor {
logger.info("Processing Metastore Audit event record.");
final GenericData.Record auditHeader = (GenericData.Record) record.get("auditHeader");
final String server = utf8ToString(auditHeader.get("server"));
final String server = ClusterUtil.matchClusterCode(utf8ToString(auditHeader.get("server")));
final String instance = utf8ToString(auditHeader.get("instance"));
final String appName = utf8ToString(auditHeader.get("appName"));
String eventName;
GenericData.Record content;
final Object oldOne;
final Object newOne;
final Object oldInfo;
final Object newInfo;
// check if it is MetastoreTableAuditEvent
if (record.get("metastoreTableAuditContent") != null) {
eventName = "MetastoreTableAuditEvent";
content = (GenericData.Record) record.get("metastoreTableAuditContent");
oldOne = content.get("oldTable");
newOne = content.get("newTable");
oldInfo = content.get("oldTable");
newInfo = content.get("newTable");
}
// check if it is MetastorePartitionAuditEvent
else if (record.get("metastorePartitionAuditContent") != null) {
eventName = "MetastorePartitionAuditEvent";
content = (GenericData.Record) record.get("metastorePartitionAuditContent");
oldOne = content.get("oldPartition");
newOne = content.get("newPartition");
oldInfo = content.get("oldPartition");
newInfo = content.get("newPartition");
}
else {
throw new IllegalArgumentException("Unknown Metastore Audit event: " + record);
@ -70,7 +71,7 @@ public class MetastoreAuditProcessor extends KafkaConsumerProcessor {
final String isDataDeleted = utf8ToString(content.get("isDataDeleted"));
// use newOne, if null, use oldOne
final GenericData.Record rec = newOne != null ? (GenericData.Record) newOne : (GenericData.Record) oldOne;
final GenericData.Record rec = newInfo != null ? (GenericData.Record) newInfo : (GenericData.Record) oldInfo;
final String dbName = utf8ToString(rec.get("dbName"));
final String tableName = utf8ToString(rec.get("tableName"));
final String partition = utf8ToString(rec.get("values"));
@ -84,8 +85,8 @@ public class MetastoreAuditProcessor extends KafkaConsumerProcessor {
// set null partition to '?' for primary key
eventRecord.setTableInfo(dbName, tableName, (partition != null ? partition : "?"),
location, owner, createTime, lastAccessTime);
eventRecord.setOldOne(utf8ToString(oldOne));
eventRecord.setNewOne(utf8ToString(newOne));
eventRecord.setOldInfo(utf8ToString(oldInfo));
eventRecord.setNewInfo(utf8ToString(newInfo));
}
return eventRecord;
}

View File

@ -29,7 +29,7 @@ public enum EtlJobName {
ELASTICSEARCH_EXECUTION_INDEX_ETL(EtlType.OPERATION, RefIdType.APP),
TREEBUILDER_EXECUTION_DATASET_ETL(EtlType.OPERATION, RefIdType.APP),
ORACLE_DATASET_METADATA_ETL(EtlType.DATASET, RefIdType.APP),
KAFKA_CONSUMER_GOBBLIN_ETL(EtlType.DATASET, RefIdType.APP),
KAFKA_CONSUMER_ETL(EtlType.OPERATION, RefIdType.DB),
;
EtlType etlType;

View File

@ -199,7 +199,6 @@ class OracleExtract:
'''
schema_dict = {"fields": []}
table_record = {}
field_record = {}
table_idx = 0
field_idx = 0
@ -211,14 +210,18 @@ class OracleExtract:
# This is a new table. Let's push the previous table record into output_list
if 'urn' in table_record:
schema_dict["num_fields"] = field_idx
table_record['columns'] = schema_dict
table_record["columns"] = json.dumps(schema_dict)
self.table_output_list.append(table_record)
properties = {
"indexes": self.table_dict[table_name_key].get("indexes"),
"partition_column": self.table_dict[table_name_key].get("partition_column")
}
table_record = {
"name": row[1],
"columns": {},
"columns": None,
"schema_type": "JSON",
"properties": self.table_dict[table_name_key],
"properties": json.dumps(properties),
"urn": table_urn,
"source": "Oracle",
"location_prefix": row[0],
@ -249,7 +252,7 @@ class OracleExtract:
# finish all remaining rows
schema_dict["num_fields"] = field_idx
table_record['columns'] = schema_dict
table_record["columns"] = json.dumps(schema_dict)
self.table_output_list.append(table_record)
self.logger.info("%d Table records generated" % table_idx)
@ -304,7 +307,17 @@ class OracleExtract:
return None
def trim_newline(self, line):
return None if line is None else line.replace('\n', ' ').replace('\r', ' ')
return None if line is None else line.replace('\n', ' ').replace('\r', ' ').encode('ascii', 'ignore')
def write_csv(self, csv_filename, csv_columns, data_list):
csvfile = open(csv_filename, 'wb')
os.chmod(csv_filename, 0644)
writer = csv.DictWriter(csvfile, fieldnames=csv_columns, delimiter='\x1A', lineterminator='\n',
quoting=csv.QUOTE_NONE, quotechar='\1', escapechar='\0')
writer.writeheader()
for data in data_list:
writer.writerow(data)
csvfile.close()
def run(self, database_name, table_name, table_output_file, field_output_file, sample_output_file, sample=False):
@ -323,34 +336,25 @@ class OracleExtract:
begin = datetime.datetime.now().strftime("%H:%M:%S")
# table info
rows = self.get_table_info(None, None)
self.get_extra_table_info()
self.format_table_metadata(rows)
end = datetime.datetime.now().strftime("%H:%M:%S")
self.logger.info("Collecting table info [%s -> %s]" % (str(begin), str(end)))
csv_columns = ['name', 'columns', 'schema_type', 'properties', 'urn', 'source', 'location_prefix',
'parent_name', 'storage_type', 'dataset_type', 'is_partitioned']
csvfile = open(table_output_file, 'wb')
os.chmod(table_output_file, 0666)
writer = csv.DictWriter(csvfile, fieldnames=csv_columns, delimiter='\x1A', lineterminator='\n')
writer.writeheader()
for data in self.table_output_list:
writer.writerow(data)
csvfile.close
self.write_csv(table_output_file, csv_columns, self.table_output_list)
csv_columns = ['dataset_urn', 'sort_id', 'name', 'data_type', 'nullable',
'size', 'precision', 'scale', 'default_value', 'doc']
csvfile = open(field_output_file, 'wb')
os.chmod(field_output_file, 0666)
writer = csv.DictWriter(csvfile, fieldnames=csv_columns, delimiter='\x1A', lineterminator='\n')
writer.writeheader()
for data in self.field_output_list:
writer.writerow(data)
csvfile.close
self.write_csv(field_output_file, csv_columns, self.field_output_list)
if sample:
csvfile = open(sample_output_file, 'wb')
os.chmod(sample_output_file, 0666)
writer = csv.DictWriter(csvfile, fieldnames=csv_columns, delimiter='\x1A', lineterminator='\n')
writer = csv.DictWriter(csvfile, fieldnames=csv_columns, delimiter='\x1A', lineterminator='\n',
quoting=csv.QUOTE_NONE, quotechar='\1', escapechar='\0')
self.logger.info("Writing to CSV file {}".format(sample_output_file))
# collect sample data
for onedatabase in schema:

View File

@ -15,7 +15,7 @@
from com.ziclix.python.sql import zxJDBC
from wherehows.common import Constant
from org.slf4j import LoggerFactory
import datetime
import sys, os, datetime
class OracleLoad:
@ -39,10 +39,19 @@ class OracleLoad:
lock_wait_time = args[Constant.INNODB_LOCK_WAIT_TIMEOUT]
self.conn_cursor.execute("SET innodb_lock_wait_timeout = %s;" % lock_wait_time)
self.logger.info("Load Oracle Metadata into {}, db_id {}, wh_exec_id {}"
.format(JDBC_URL, self.db_id, self.wh_etl_exec_id))
self.dict_dataset_table = 'dict_dataset'
self.field_comments_table = 'field_comments'
self.dict_field_table = 'dict_field_detail'
self.dict_field_comment_table = 'dict_dataset_field_comment'
self.dict_dataset_sample_table = 'dict_dataset_sample'
def load_tables(self):
load_tables_cmd = '''
DELETE FROM stg_dict_dataset WHERE db_id = '{db_id}';
DELETE FROM stg_dict_dataset WHERE db_id = {db_id};
-- load into stg table
LOAD DATA LOCAL INFILE '{source_file}'
@ -55,7 +64,7 @@ class OracleLoad:
wh_etl_exec_id = {wh_etl_exec_id};
-- insert into final table
INSERT INTO dict_dataset
INSERT INTO {dict_dataset}
( `name`,
`schema`,
schema_type,
@ -97,16 +106,18 @@ class OracleLoad:
modified_time=UNIX_TIMESTAMP(now()), wh_etl_exec_id=s.wh_etl_exec_id
;
analyze table dict_dataset;
'''.format(source_file=self.input_table_file, db_id=self.db_id, wh_etl_exec_id=self.wh_etl_exec_id)
analyze table {dict_dataset};
'''.format(source_file=self.input_table_file, db_id=self.db_id, wh_etl_exec_id=self.wh_etl_exec_id,
dict_dataset=self.dict_dataset_table)
self.executeCommands(load_tables_cmd)
self.logger.info("finish loading oracle table metadata")
self.logger.info("finish loading oracle table metadata from {} to {}"
.format(self.input_table_file, self.dict_dataset_table))
def load_fields(self):
load_fields_cmd = '''
DELETE FROM stg_dict_field_detail where db_id = '{db_id}';
DELETE FROM stg_dict_field_detail where db_id = {db_id};
LOAD DATA LOCAL INFILE '{source_file}'
INTO TABLE stg_dict_field_detail
@ -132,13 +143,13 @@ class OracleLoad:
and (char_length(trim(description)) = 0
or description in ('null', 'N/A', 'nothing', 'empty', 'none'));
insert into field_comments (
insert into {field_comments} (
user_id, comment, created, modified, comment_crc32_checksum
)
select 0 user_id, description, now() created, now() modified, crc32(description) from
(
select sf.description
from stg_dict_field_detail sf left join field_comments fc
from stg_dict_field_detail sf left join {field_comments} fc
on sf.description = fc.comment
where sf.description is not null
and fc.id is null
@ -146,40 +157,41 @@ class OracleLoad:
group by 1 order by 1
) d;
analyze table field_comments;
analyze table {field_comments};
-- delete old record if it does not exist in this load batch anymore (but have the dataset id)
create temporary table if not exists t_deleted_fields (primary key (field_id))
select x.field_id
from stg_dict_field_detail s
join dict_dataset i
join {dict_dataset} i
on s.urn = i.urn
and s.db_id = {db_id}
right join dict_field_detail x
right join {dict_field_detail} x
on i.id = x.dataset_id
and s.field_name = x.field_name
and s.parent_path = x.parent_path
where s.field_name is null
and x.dataset_id in (
select d.id dataset_id
from stg_dict_field_detail k join dict_dataset d
from stg_dict_field_detail k join {dict_dataset} d
on k.urn = d.urn
and k.db_id = {db_id}
)
; -- run time : ~2min
delete from dict_field_detail where field_id in (select field_id from t_deleted_fields);
delete from {dict_field_detail} where field_id in (select field_id from t_deleted_fields);
-- update the old record if some thing changed
update dict_field_detail t join
update {dict_field_detail} t join
(
select x.field_id, s.*
from stg_dict_field_detail s join dict_dataset d
from stg_dict_field_detail s
join {dict_dataset} d
on s.urn = d.urn
join dict_field_detail x
on s.field_name = x.field_name
and coalesce(s.parent_path, '*') = coalesce(x.parent_path, '*')
and d.id = x.dataset_id
join {dict_field_detail} x
on s.field_name = x.field_name
and coalesce(s.parent_path, '*') = coalesce(x.parent_path, '*')
and d.id = x.dataset_id
where s.db_id = {db_id}
and (x.sort_id <> s.sort_id
or x.parent_sort_id <> s.parent_sort_id
@ -207,24 +219,23 @@ class OracleLoad:
t.modified = now()
;
insert into dict_field_detail (
insert into {dict_field_detail} (
dataset_id, fields_layout_id, sort_id, parent_sort_id, parent_path,
field_name, namespace, data_type, data_size, is_nullable, default_value,
modified
field_name, namespace, data_type, data_size, is_nullable, default_value, modified
)
select
d.id, 0, sf.sort_id, sf.parent_sort_id, sf.parent_path,
sf.field_name, sf.namespace, sf.data_type, sf.data_size, sf.is_nullable, sf.default_value, now()
from stg_dict_field_detail sf join dict_dataset d
from stg_dict_field_detail sf join {dict_dataset} d
on sf.urn = d.urn
left join dict_field_detail t
left join {dict_field_detail} t
on d.id = t.dataset_id
and sf.field_name = t.field_name
and sf.parent_path = t.parent_path
and sf.field_name = t.field_name
and sf.parent_path = t.parent_path
where db_id = {db_id} and t.field_id is null
;
analyze table dict_field_detail;
analyze table {dict_field_detail};
-- delete old record in stagging
delete from stg_dict_dataset_field_comment where db_id = {db_id};
@ -232,36 +243,40 @@ class OracleLoad:
-- insert
insert into stg_dict_dataset_field_comment
select t.field_id field_id, fc.id comment_id, d.id dataset_id, {db_id}
from stg_dict_field_detail sf join dict_dataset d
from stg_dict_field_detail sf join {dict_dataset} d
on sf.urn = d.urn
join field_comments fc
join {field_comments} fc
on sf.description = fc.comment
join dict_field_detail t
join {dict_field_detail} t
on d.id = t.dataset_id
and sf.field_name = t.field_name
and sf.parent_path = t.parent_path
where sf.db_id = {db_id};
-- have default comment, insert it set default to 0
insert ignore into dict_dataset_field_comment
insert ignore into {dict_dataset_field_comment}
select field_id, comment_id, dataset_id, 0 is_default from stg_dict_dataset_field_comment where field_id in (
select field_id from dict_dataset_field_comment
select field_id from {dict_dataset_field_comment}
where field_id in (select field_id from stg_dict_dataset_field_comment)
and is_default = 1 ) and db_id = {db_id};
-- doesn't have this comment before, insert into it and set as default
insert ignore into dict_dataset_field_comment
select sd.field_id, sd.comment_id, sd.dataset_id, 1 from stg_dict_dataset_field_comment sd
left join dict_dataset_field_comment d
on d.field_id = sd.field_id
and d.comment_id = sd.comment_id
insert ignore into {dict_dataset_field_comment}
select sd.field_id, sd.comment_id, sd.dataset_id, 1
from stg_dict_dataset_field_comment sd
left join {dict_dataset_field_comment} d
on d.field_id = sd.field_id
and d.comment_id = sd.comment_id
where d.comment_id is null
and sd.db_id = {db_id};
'''.format(source_file=self.input_field_file, db_id=self.db_id, wh_etl_exec_id=self.wh_etl_exec_id)
and sd.db_id = {db_id};
'''.format(source_file=self.input_field_file, db_id=self.db_id, wh_etl_exec_id=self.wh_etl_exec_id,
dict_dataset=self.dict_dataset_table, dict_field_detail=self.dict_field_table,
field_comments=self.field_comments_table, dict_dataset_field_comment=self.dict_field_comment_table)
self.executeCommands(load_fields_cmd)
self.logger.info("finish loading oracle table fields")
self.logger.info("finish loading oracle table fields from {} to {}"
.format(self.input_field_file, self.dict_field_table))
def load_sample(self):
@ -277,12 +292,12 @@ class OracleLoad:
-- update reference id in stagging table
UPDATE stg_dict_dataset_sample s
LEFT JOIN dict_dataset d ON s.ref_urn = d.urn
LEFT JOIN {dict_dataset} d ON s.ref_urn = d.urn
SET s.ref_id = d.id
WHERE s.db_id = {db_id};
-- first insert ref_id as 0
INSERT INTO dict_dataset_sample
INSERT INTO {dict_dataset_sample}
( `dataset_id`,
`urn`,
`ref_id`,
@ -290,20 +305,22 @@ class OracleLoad:
created
)
select d.id as dataset_id, s.urn, s.ref_id, s.data, now()
from stg_dict_dataset_sample s left join dict_dataset d on d.urn = s.urn
from stg_dict_dataset_sample s left join {dict_dataset} d on d.urn = s.urn
where s.db_id = {db_id}
on duplicate key update
`data`=s.data, modified=now();
-- update reference id in final table
UPDATE dict_dataset_sample d
UPDATE {dict_dataset_sample} d
RIGHT JOIN stg_dict_dataset_sample s ON d.urn = s.urn
SET d.ref_id = s.ref_id
WHERE s.db_id = {db_id} AND d.ref_id = 0;
'''.format(source_file=self.input_sample_file, db_id=self.db_id)
'''.format(source_file=self.input_sample_file, db_id=self.db_id,
dict_dataset=self.dict_dataset_table, dict_dataset_sample=self.dict_dataset_sample_table)
self.executeCommands(load_sample_cmd)
self.logger.info("finish loading oracle sample data")
self.logger.info("finish loading oracle sample data from {} to {}"
.format(self.input_sample_file, self.dict_dataset_sample_table))
def executeCommands(self, commands):

View File

@ -0,0 +1,57 @@
/**
* Copyright 2015 LinkedIn Corp. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*/
package wherehows.common.schemas;
public class ClusterInfo {
int clusterId;
String clusterCode;
String clusterShortName;
String datacenterCode;
String clusterType;
String deploymentTierCode;
public ClusterInfo(int clusterId, String clusterCode, String clusterShortName, String datacenterCode,
String clusterType, String deploymentTierCode) {
this.clusterId = clusterId;
this.clusterCode = clusterCode;
this.clusterShortName = clusterShortName;
this.datacenterCode = datacenterCode;
this.clusterType = clusterType;
this.deploymentTierCode = deploymentTierCode;
}
public int getClusterId() {
return clusterId;
}
public String getClusterCode() {
return clusterCode;
}
public String getClusterShortName() {
return clusterShortName;
}
public String getDatacenterCode() {
return datacenterCode;
}
public String getClusterType() {
return clusterType;
}
public String getDeploymentTierCode() {
return deploymentTierCode;
}
}

View File

@ -227,19 +227,19 @@ public class MetastoreAuditRecord extends AbstractRecord {
this.lastAccessTime = lastAccessTime;
}
public String getOldOne() {
public String getOldInfo() {
return oldInfo;
}
public void setOldOne(String oldOne) {
this.oldInfo = oldOne;
public void setOldInfo(String oldInfo) {
this.oldInfo = oldInfo;
}
public String getNewOne() {
public String getNewInfo() {
return newInfo;
}
public void setNewOne(String newOne) {
this.newInfo = newOne;
public void setNewInfo(String newInfo) {
this.newInfo = newInfo;
}
}

View File

@ -0,0 +1,63 @@
/**
* Copyright 2015 LinkedIn Corp. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*/
package wherehows.common.utils;
import java.util.ArrayList;
import java.util.List;
import wherehows.common.schemas.ClusterInfo;
public class ClusterUtil {
private static final List<ClusterInfo> CLUSTER_LIST = new ArrayList<>();
public static void updateClusterInfo(List<ClusterInfo> clusterList) {
if (clusterList != null && clusterList.size() > 0) {
CLUSTER_LIST.clear();
CLUSTER_LIST.addAll(clusterList);
}
}
/**
* match the clusterName to the list of cluster info, return the matching clusterCode
* @param clusterName String
* @return clusterCode
*/
public static String matchClusterCode(String clusterName) {
if (clusterName == null) {
return null;
}
// first use cluster code to find match
for (ClusterInfo cluster : CLUSTER_LIST) {
if (clusterName.contains(cluster.getClusterCode())) {
return cluster.getClusterCode();
}
}
// second round use cluster short name to find match
for (ClusterInfo cluster : CLUSTER_LIST) {
if (clusterName.contains(cluster.getClusterShortName())) {
return cluster.getClusterCode();
}
}
// no match found, return original string
return clusterName;
}
public static List<ClusterInfo> getClusterList() {
return CLUSTER_LIST;
}
}