public String generateQueryLogSql() {
String query_log_parse_result_dir = monitorConfig.getQueryLogParseResultDir();
String query_log_table_name = monitorConfig.getQueryLogResultTable();
return SQL_GENERATE_QUERY_LOG_TABLE
.replace("[QUERY_LOG_PARSE_RESULT_DIR]", query_log_parse_result_dir)
.replace("[QUERY_LOG_TABLE_NAME]", query_log_table_name);
}
static {
try {
Class.forName(driverName);
monitorConfig.loadMonitorParam();
QUERY_LOG_TABLE_NAME = monitorConfig.getQueryLogResultTable();
if (StringUtils.isEmpty(QUERY_LOG_TABLE_NAME)) {
logger.error(
"table name not defined ,please set param [query.log.parse.result.table] in kylin.properties");
}
} catch (Exception e) {
e.printStackTrace();
}
}
/*
* will create external hive table for [query] log parse result csv file on hdfs
* and will generate metric data in csv file on hdfs for web dashboard
*/
public void start() throws SQLException, IOException {
String CON_URL = monitorConfig.getHiveJdbcConUrl();
Connection con = DriverManager.getConnection(CON_URL, "", "");
Statement stmt = con.createStatement();
ResultSet res = null;
SQL_GENERATE_QUERY_LOG_TABLE = generateQueryLogSql();
logger.info("Running Sql (Create Table):" + SQL_GENERATE_QUERY_LOG_TABLE);
stmt.execute(SQL_GENERATE_QUERY_LOG_TABLE);
SQL_TOTAL_QUERY_USER = generateUserCountSql();
logger.info("Running Sql (Total User):" + SQL_TOTAL_QUERY_USER);
res = stmt.executeQuery(SQL_TOTAL_QUERY_USER);
String total_query_user_path =
monitorConfig.getLogParseResultMetaDir() + "total_query_user.csv";
FileUtils.pathCheck(total_query_user_path);
FileUtils.clearHdfsFile(total_query_user_path);
while (res.next()) {
FileUtils.appendResultToHdfs(total_query_user_path, new String[] {res.getString(1)});
logger.info("Total User:"******"Running Sql (Avg Day Query):" + SQL_AVG_DAY_QUERY);
res = stmt.executeQuery(SQL_AVG_DAY_QUERY);
String avg_day_query_path = monitorConfig.getLogParseResultMetaDir() + "avg_day_query.csv";
FileUtils.pathCheck(avg_day_query_path);
FileUtils.clearHdfsFile(avg_day_query_path);
while (res.next()) {
FileUtils.appendResultToHdfs(avg_day_query_path, new String[] {res.getString(1)});
logger.info("avg day query:" + res.getString(1));
}
SQL_LAST_30_DAYILY_QUERY_COUNT = generateLast30DayilyQueryCount();
logger.info("Running Sql (Daily Query Count):" + SQL_LAST_30_DAYILY_QUERY_COUNT);
res = stmt.executeQuery(SQL_LAST_30_DAYILY_QUERY_COUNT);
String last_30_daily_query_count_path =
monitorConfig.getLogParseResultMetaDir() + "last_30_daily_query_count.csv";
FileUtils.pathCheck(last_30_daily_query_count_path);
FileUtils.clearHdfsFile(last_30_daily_query_count_path);
while (res.next()) {
FileUtils.appendResultToHdfs(
last_30_daily_query_count_path, new String[] {res.getString(1), res.getString(2)});
logger.info("last 30 daily query count:" + res.getString(1) + "," + res.getString(2));
}
// 90 percentile latency for all query in last 30 days
SQL_90_PERCENTTILE_LAST_30_DAY = generateNintyPercentileSql();
logger.info(
"Running Sql (last 30 days ,90 percentile query latency):"
+ SQL_90_PERCENTTILE_LAST_30_DAY);
res = stmt.executeQuery(SQL_90_PERCENTTILE_LAST_30_DAY);
String last_30_day_90_percentile_latency =
monitorConfig.getLogParseResultMetaDir() + "last_30_day_90_percentile_latency.csv";
FileUtils.pathCheck(last_30_day_90_percentile_latency);
FileUtils.clearHdfsFile(last_30_day_90_percentile_latency);
while (res.next()) {
FileUtils.appendResultToHdfs(
last_30_day_90_percentile_latency, new String[] {res.getString(1)});
logger.info("last 30 day 90 percentile latency:" + res.getString(1));
}
// 90,95 project percentile latency for all query in last 30 days
SQL_DAY_PERCENTILE_BY_PROJECT = generateProjectPercentileSql();
logger.info(
"Running Sql (last 30 days ,90,95 percentile query latency by project):"
+ SQL_DAY_PERCENTILE_BY_PROJECT);
res = stmt.executeQuery(SQL_DAY_PERCENTILE_BY_PROJECT);
String last_30_day_project_percentile_latency_path =
monitorConfig.getLogParseResultMetaDir() + "project_90_95_percentile_latency.csv";
FileUtils.pathCheck(last_30_day_project_percentile_latency_path);
FileUtils.clearHdfsFile(last_30_day_project_percentile_latency_path);
while (res.next() && res.getMetaData().getColumnCount() == 2) {
FileUtils.appendResultToHdfs(
last_30_day_project_percentile_latency_path,
new String[] {res.getString(1), res.getString(2)});
logger.info(res.getString(1) + "," + res.getString(2));
}
// 0.9,0.95 percentile latency of every day in last 30 day
SQL_EACH_DAY_PERCENTILE = generateEachDayPercentileSql();
logger.info("Running sql (0.9,0.95 latency):" + SQL_EACH_DAY_PERCENTILE);
String each_day_percentile_file =
monitorConfig.getLogParseResultMetaDir() + "each_day_90_95_percentile_latency.csv";
FileUtils.pathCheck(each_day_percentile_file);
FileUtils.clearHdfsFile(each_day_percentile_file);
res = stmt.executeQuery(SQL_EACH_DAY_PERCENTILE);
while (res.next() && res.getMetaData().getColumnCount() == 3) {
FileUtils.appendResultToHdfs(
each_day_percentile_file,
new String[] {res.getString(1), res.getString(2), res.getString(3)});
logger.info(res.getString(1) + "," + res.getString(2) + "," + res.getString(3));
}
}
/** Created by jiazhong on 2015/6/17. */
public class HiveJdbcClient {
static String SQL_GENERATE_QUERY_LOG_TABLE =
"CREATE EXTERNAL TABLE IF NOT EXISTS [QUERY_LOG_TABLE_NAME] (REQUEST_TIME STRING,REQUEST_DATE DATE, QUERY_SQL STRING,QUERY_USER STRING,IS_SUCCESS STRING,QUERY_LATENCY DECIMAL(19,4),QUERY_PROJECT STRING,REALIZATION_NAMES STRING,CUBOID_IDS STRING,TOTAL_SCAN_COUNT INT,RESULT_ROW_COUNT INT,ACCEPT_PARTIAL STRING,IS_PARTIAL_RESULT STRING,HIT_CACHE STRING,MESSAGE STRING,DEPLOY_ENV STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' LINES TERMINATED BY '\\n' LOCATION '[QUERY_LOG_PARSE_RESULT_DIR]' TBLPROPERTIES (\"SKIP.HEADER.LINE.COUNT\"=\"1\")";
static String SQL_TOTAL_QUERY_USER =
"******";
static String SQL_AVG_DAY_QUERY =
"SELECT AVG(A.COUNT_QUERY) FROM (SELECT COUNT(*) COUNT_QUERY,REQUEST_DATE FROM [QUERY_LOG_TABLE_NAME] GROUP BY REQUEST_DATE) A";
static String SQL_LAST_30_DAYILY_QUERY_COUNT =
"SELECT REQUEST_DATE, COUNT(*) FROM [QUERY_LOG_TABLE_NAME] WHERE REQUEST_DATE>=[START_DATE] AND REQUEST_DATE<[END_DATE] GROUP BY REQUEST_DATE";
// last 30 days
static String SQL_90_PERCENTTILE_LAST_30_DAY =
"SELECT PERCENTILE_APPROX(LOG.QUERY_LATENCY,0.9) FROM (SELECT QUERY_LATENCY FROM [QUERY_LOG_TABLE_NAME] WHERE IS_SUCCESS='true' AND REQUEST_DATE>=[START_DATE] AND REQUEST_DATE<[END_DATE]) LOG";
// 0.9,0.95 [each day] percentile in last 30 days
static String SQL_EACH_DAY_PERCENTILE =
"SELECT REQUEST_DATE, PERCENTILE_APPROX(QUERY_LATENCY,ARRAY(0.9,0.95)),COUNT(*) FROM [QUERY_LOG_TABLE_NAME] WHERE IS_SUCCESS='true' AND REQUEST_DATE>=[START_DATE] AND REQUEST_DATE<[END_DATE] GROUP BY REQUEST_DATE";
// 0.9,0.95 [project] percentile in last 30 days
static String SQL_DAY_PERCENTILE_BY_PROJECT =
"SELECT QUERY_PROJECT, PERCENTILE_APPROX(QUERY_LATENCY,ARRAY(0.9,0.95)) FROM [QUERY_LOG_TABLE_NAME] WHERE IS_SUCCESS='true' AND REQUEST_DATE>=[START_DATE] AND REQUEST_DATE<[END_DATE] GROUP BY QUERY_PROJECT";
static String QUERY_LOG_TABLE_NAME = "KYLIN_QUERY_LOG";
static final Logger logger = Logger.getLogger(HiveJdbcClient.class);
private static String driverName = "org.apache.hive.jdbc.HiveDriver";
private static ConfigUtils monitorConfig = ConfigUtils.getInstance();
static {
try {
Class.forName(driverName);
monitorConfig.loadMonitorParam();
QUERY_LOG_TABLE_NAME = monitorConfig.getQueryLogResultTable();
if (StringUtils.isEmpty(QUERY_LOG_TABLE_NAME)) {
logger.error(
"table name not defined ,please set param [query.log.parse.result.table] in kylin.properties");
}
} catch (Exception e) {
e.printStackTrace();
}
}
/*
* will create external hive table for [query] log parse result csv file on hdfs
* and will generate metric data in csv file on hdfs for web dashboard
*/
public void start() throws SQLException, IOException {
String CON_URL = monitorConfig.getHiveJdbcConUrl();
Connection con = DriverManager.getConnection(CON_URL, "", "");
Statement stmt = con.createStatement();
ResultSet res = null;
SQL_GENERATE_QUERY_LOG_TABLE = generateQueryLogSql();
logger.info("Running Sql (Create Table):" + SQL_GENERATE_QUERY_LOG_TABLE);
stmt.execute(SQL_GENERATE_QUERY_LOG_TABLE);
SQL_TOTAL_QUERY_USER = generateUserCountSql();
logger.info("Running Sql (Total User):" + SQL_TOTAL_QUERY_USER);
res = stmt.executeQuery(SQL_TOTAL_QUERY_USER);
String total_query_user_path =
monitorConfig.getLogParseResultMetaDir() + "total_query_user.csv";
FileUtils.pathCheck(total_query_user_path);
FileUtils.clearHdfsFile(total_query_user_path);
while (res.next()) {
FileUtils.appendResultToHdfs(total_query_user_path, new String[] {res.getString(1)});
logger.info("Total User:"******"Running Sql (Avg Day Query):" + SQL_AVG_DAY_QUERY);
res = stmt.executeQuery(SQL_AVG_DAY_QUERY);
String avg_day_query_path = monitorConfig.getLogParseResultMetaDir() + "avg_day_query.csv";
FileUtils.pathCheck(avg_day_query_path);
FileUtils.clearHdfsFile(avg_day_query_path);
while (res.next()) {
FileUtils.appendResultToHdfs(avg_day_query_path, new String[] {res.getString(1)});
logger.info("avg day query:" + res.getString(1));
}
SQL_LAST_30_DAYILY_QUERY_COUNT = generateLast30DayilyQueryCount();
logger.info("Running Sql (Daily Query Count):" + SQL_LAST_30_DAYILY_QUERY_COUNT);
res = stmt.executeQuery(SQL_LAST_30_DAYILY_QUERY_COUNT);
String last_30_daily_query_count_path =
monitorConfig.getLogParseResultMetaDir() + "last_30_daily_query_count.csv";
FileUtils.pathCheck(last_30_daily_query_count_path);
FileUtils.clearHdfsFile(last_30_daily_query_count_path);
while (res.next()) {
FileUtils.appendResultToHdfs(
last_30_daily_query_count_path, new String[] {res.getString(1), res.getString(2)});
logger.info("last 30 daily query count:" + res.getString(1) + "," + res.getString(2));
}
// 90 percentile latency for all query in last 30 days
SQL_90_PERCENTTILE_LAST_30_DAY = generateNintyPercentileSql();
logger.info(
"Running Sql (last 30 days ,90 percentile query latency):"
+ SQL_90_PERCENTTILE_LAST_30_DAY);
res = stmt.executeQuery(SQL_90_PERCENTTILE_LAST_30_DAY);
String last_30_day_90_percentile_latency =
monitorConfig.getLogParseResultMetaDir() + "last_30_day_90_percentile_latency.csv";
FileUtils.pathCheck(last_30_day_90_percentile_latency);
FileUtils.clearHdfsFile(last_30_day_90_percentile_latency);
while (res.next()) {
FileUtils.appendResultToHdfs(
last_30_day_90_percentile_latency, new String[] {res.getString(1)});
logger.info("last 30 day 90 percentile latency:" + res.getString(1));
}
// 90,95 project percentile latency for all query in last 30 days
SQL_DAY_PERCENTILE_BY_PROJECT = generateProjectPercentileSql();
logger.info(
"Running Sql (last 30 days ,90,95 percentile query latency by project):"
+ SQL_DAY_PERCENTILE_BY_PROJECT);
res = stmt.executeQuery(SQL_DAY_PERCENTILE_BY_PROJECT);
String last_30_day_project_percentile_latency_path =
monitorConfig.getLogParseResultMetaDir() + "project_90_95_percentile_latency.csv";
FileUtils.pathCheck(last_30_day_project_percentile_latency_path);
FileUtils.clearHdfsFile(last_30_day_project_percentile_latency_path);
while (res.next() && res.getMetaData().getColumnCount() == 2) {
FileUtils.appendResultToHdfs(
last_30_day_project_percentile_latency_path,
new String[] {res.getString(1), res.getString(2)});
logger.info(res.getString(1) + "," + res.getString(2));
}
// 0.9,0.95 percentile latency of every day in last 30 day
SQL_EACH_DAY_PERCENTILE = generateEachDayPercentileSql();
logger.info("Running sql (0.9,0.95 latency):" + SQL_EACH_DAY_PERCENTILE);
String each_day_percentile_file =
monitorConfig.getLogParseResultMetaDir() + "each_day_90_95_percentile_latency.csv";
FileUtils.pathCheck(each_day_percentile_file);
FileUtils.clearHdfsFile(each_day_percentile_file);
res = stmt.executeQuery(SQL_EACH_DAY_PERCENTILE);
while (res.next() && res.getMetaData().getColumnCount() == 3) {
FileUtils.appendResultToHdfs(
each_day_percentile_file,
new String[] {res.getString(1), res.getString(2), res.getString(3)});
logger.info(res.getString(1) + "," + res.getString(2) + "," + res.getString(3));
}
}
public String generateQueryLogSql() {
String query_log_parse_result_dir = monitorConfig.getQueryLogParseResultDir();
String query_log_table_name = monitorConfig.getQueryLogResultTable();
return SQL_GENERATE_QUERY_LOG_TABLE
.replace("[QUERY_LOG_PARSE_RESULT_DIR]", query_log_parse_result_dir)
.replace("[QUERY_LOG_TABLE_NAME]", query_log_table_name);
}
public String generateUserCountSql() {
return SQL_TOTAL_QUERY_USER.replace("[QUERY_LOG_TABLE_NAME]", QUERY_LOG_TABLE_NAME);
}
public String generateAvgDayQuery() {
return SQL_AVG_DAY_QUERY.replace("[QUERY_LOG_TABLE_NAME]", QUERY_LOG_TABLE_NAME);
}
public String generateLast30DayilyQueryCount() {
SQL_LAST_30_DAYILY_QUERY_COUNT =
SQL_LAST_30_DAYILY_QUERY_COUNT.replace("[QUERY_LOG_TABLE_NAME]", QUERY_LOG_TABLE_NAME);
return monthStasticSqlConvert(SQL_LAST_30_DAYILY_QUERY_COUNT);
}
// last 30 days
public String generateNintyPercentileSql() {
SQL_90_PERCENTTILE_LAST_30_DAY =
SQL_90_PERCENTTILE_LAST_30_DAY.replace("[QUERY_LOG_TABLE_NAME]", QUERY_LOG_TABLE_NAME);
return monthStasticSqlConvert(SQL_90_PERCENTTILE_LAST_30_DAY);
}
// last 30 days,each day 90,95 percentile
public String generateProjectPercentileSql() {
SQL_DAY_PERCENTILE_BY_PROJECT =
SQL_DAY_PERCENTILE_BY_PROJECT.replace("[QUERY_LOG_TABLE_NAME]", QUERY_LOG_TABLE_NAME);
return monthStasticSqlConvert(SQL_DAY_PERCENTILE_BY_PROJECT);
}
public String generateEachDayPercentileSql() {
SQL_EACH_DAY_PERCENTILE =
SQL_EACH_DAY_PERCENTILE.replace("[QUERY_LOG_TABLE_NAME]", QUERY_LOG_TABLE_NAME);
return monthStasticSqlConvert(SQL_EACH_DAY_PERCENTILE);
}
public String monthStasticSqlConvert(String sql) {
SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd");
Calendar cal = Calendar.getInstance();
cal.add(Calendar.DATE, -1);
String endDate = format.format(cal.getTime());
cal.add(Calendar.DATE, -30);
String startDate = format.format(cal.getTime());
return sql.replace("[START_DATE]", "'" + startDate + "'")
.replace("[END_DATE]", "'" + endDate + "'");
}
}
