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// Copyright (c) Authors of Clover
//
// All rights reserved. This program and the accompanying materials
// are made available under the terms of the Apache License, Version 2.0
// which accompanies this distribution, and is available at
// http://www.apache.org/licenses/LICENSE-2.0
import org.apache.spark.sql.SparkSession
import com.datastax.spark.connector._
import org.apache.spark.sql.cassandra._
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
import com.redis._
object CloverSlow {
def main(args: Array[String]) {
val sp = SparkSession.builder.appName("Clover Slow").getOrCreate()
sp.stop()
val CassandraConnect = "cassandra.clover-system"
val RedisConnect = "redis.default"
// Enable/disable various analytics
val distinct_url_service = false
val response_times = true
// Cassandra, Redis, Spark Context
val scch = "spark.cassandra.connection.host"
val conf = new SparkConf(true).set(scch, CassandraConnect)
val redis = new RedisClient(RedisConnect, 6379)
val sc = new SparkContext(conf)
val spark = SparkSession
.builder()
.appName("Clover Visibility Stats")
.config("spark.cassandra.connection.host", CassandraConnect)
.config("spark.cassandra.connection.port", "9042")
.getOrCreate()
val services = redis.smembers("visibility_services")
spark
.read.cassandraFormat("spans", "visibility")
.load()
.createOrReplaceTempView("curspans")
if (distinct_url_service) {
// Get number of distinct URLs per service (node_id)
for (s <- services.get) {
val service = s.get
val perurl = spark.sql(
s"""
|SELECT node_id,count(distinct http_url)
|as urls,collect_set(http_url) as values
|FROM curspans
|WHERE node_id LIKE '%$service%'
|GROUP BY node_id
""".stripMargin)
for ((row) <- perurl.collect) {
println(row)
val node_id = row.get(0)
val url_count = row.get(1)
val url_distinct = row.getList(2).toString
redis.hmset(service, Map("node_id" -> node_id,
"url_count" -> url_count,
"url_distinct" -> url_distinct))
}
}
}
for( x <- 1 to 500 ) {
if (response_times) {
try {
for (s <- services.get) {
val service = s.get.replace('_', '-')
val service_rt = spark.sql(
s"""
|SELECT avg(duration),min(duration),max(duration)
|FROM curspans
|WHERE node_id LIKE '%$service%'
|AND upstream_cluster LIKE '%inbound%'
""".stripMargin)
if (service_rt.count > 0) {
val avg_rt = service_rt.first.getDouble(0) / 1000.0
val min_rt = service_rt.first.getInt(1) / 1000.0
val max_rt = service_rt.first.getInt(2) / 1000.0
redis.hmset(service, Map("avg_rt" -> f"$avg_rt%1.2f",
"min_rt" -> f"$min_rt%1.2f",
"max_rt" -> f"$max_rt%1.2f"))
} else {
redis.hmset(service, Map("avg_rt" -> "NA",
"min_rt" -> "NA",
"max_rt" -> "NA"))
}
}
} catch {
case unknown : Throwable => println("RT exception: "
+ unknown)
//unknown.printStackTrace
}
}
// Per URL counts all nodes
val urlcount = spark.sql(
s"""
|SELECT http_url,count(http_url) as urls FROM curspans
|GROUP BY http_url
""".stripMargin)
redis.del("span_urls")
redis.del("span_urls_z")
for ((row) <- urlcount.collect) {
redis.sadd("span_urls", row.get(0))
redis.zadd("span_urls_z", row.getLong(1).toDouble, row.get(0))
}
// User-Agents all nodes
val uacount = spark.sql(
s"""
|SELECT user_agent,count(user_agent) as ua FROM curspans
|GROUP BY user_agent
""".stripMargin)
redis.del("span_user_agent")
redis.del("span_user_agent_z")
for ((row) <- uacount.collect) {
redis.sadd("span_user_agent", row.get(0))
redis.zadd("span_user_agent_z", row.getLong(1).toDouble,
row.get(0))
}
// Node ids all nodes
val nodecount = spark.sql(
s"""
|SELECT node_id,count(node_id) as node FROM curspans
|GROUP BY node_id
""".stripMargin)
redis.del("span_node_id")
redis.del("span_node_id_z")
for ((row) <- nodecount.collect) {
redis.sadd("span_node_id", row.get(0))
redis.zadd("span_node_id_z", row.getLong(1).toDouble, row.get(0))
}
// Per URL/status codes all nodes
val statuscount = spark.sql(
s"""
|SELECT http_url,status_code,count(status_code) as urls
|FROM curspans
|GROUP BY http_url,status_code
""".stripMargin)
redis.del("span_status_codes_z")
for ((row) <- statuscount.collect) {
val key_url_code = row.get(1) + ", " + row.get(0)
redis.zadd("span_status_codes_z", row.getLong(2).toDouble,
key_url_code)
}
// Per Service/URL counts
val node_url_count = spark.sql(
s"""
|SELECT node_id,http_url,count(http_url) as urls
|FROM curspans
|GROUP BY node_id,http_url
""".stripMargin)
redis.del("span_node_url_z")
for ((row) <- node_url_count.collect) {
val key_node_url = row.get(0) + ", " + row.get(1)
redis.zadd("span_node_url_z", row.getLong(2).toDouble,
key_node_url)
}
// Distinct span fields
val distinct_keys = List("operation_name", "upstream_cluster",
"status_code")
for (field <- distinct_keys) {
val distinct_span = spark.sql(
s"""
|SELECT $field FROM curspans
|GROUP BY $field
""".stripMargin)
val dk = "span_" + field
redis.del(dk)
for ((row) <- distinct_span.collect) {
redis.sadd(dk, row.get(0))
}
}
// Metrics, per service
spark
.read.cassandraFormat("metrics", "visibility")
.load()
.createOrReplaceTempView("curmetrics")
val metric_prefixes = redis.smembers("metric_prefixes")
val metric_suffixes = redis.smembers("metric_suffixes")
try {
for (s <- services.get) {
//val service = s.get.replace('_', '-')
val service = s.get
for (m_prefix <- metric_prefixes.get) {
val mp = m_prefix.get
for (m_suffix <- metric_suffixes.get) {
val ms = m_suffix.get
val metric_result = spark.sql(
s"""
|SELECT m_value FROM curmetrics
|WHERE m_name = '$mp$service$ms'
|ORDER BY m_time DESC LIMIT 100
""".stripMargin)
val metric_key = "metrics_" + mp + service + ms
redis.del(metric_key)
for ((row) <- metric_result.collect) {
redis.lpush(metric_key, row.get(0))
}
}
}
}
} catch {
case unknown : Throwable => println("Metrics exception: "
+ unknown)
// unknown.printStackTrace
}
}
}
}
|
