Revert "[ML-33] Optimize oneCCL port detecting (oap-project#34)"

This reverts commit c07d70c.

Signed-off-by: Wu, Xiaochang <xiaochang.wu@intel.com>

mllib-dal/src/main/native/OneCCL.cpp

@@ -6,10 +6,6 @@
 #include <sys/socket.h>
 #include <unistd.h>
 
-#include <list>
-#include <ifaddrs.h>
-#include <netdb.h>
-
 #include <oneapi/ccl.hpp>
 
 #include "org_apache_spark_ml_util_OneCCL__.h"
@@ -116,79 +112,30 @@ JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_setEnv
     return err;
 }
 
-static const int CCL_IP_LEN = 128;
-std::list<std::string> local_host_ips;
-
-static int fill_local_host_ip() {
-    struct ifaddrs *ifaddr, *ifa;
-    int family = AF_UNSPEC;
-    char local_ip[CCL_IP_LEN];
-    if (getifaddrs(&ifaddr) < 0) {
-        // LOG_ERROR("fill_local_host_ip: can not get host IP");
-        return -1;
-    }
-
-    const char iface_name[] = "lo";
-    local_host_ips.clear();
-
-    for (ifa = ifaddr; ifa != NULL; ifa = ifa->ifa_next) {
-        if (ifa->ifa_addr == NULL)
-            continue;
-        if (strstr(ifa->ifa_name, iface_name) == NULL) {
-            family = ifa->ifa_addr->sa_family;
-            if (family == AF_INET) {
-                memset(local_ip, 0, CCL_IP_LEN);
-                int res = getnameinfo(
-                    ifa->ifa_addr,
-                    (family == AF_INET) ? sizeof(struct sockaddr_in) : sizeof(struct sockaddr_in6),
-                    local_ip,
-                    CCL_IP_LEN,
-                    NULL,
-                    0,
-                    NI_NUMERICHOST);
-                if (res != 0) {
-                    std::string s("fill_local_host_ip: getnameinfo error > ");
-                    s.append(gai_strerror(res));
-                    // LOG_ERROR(s.c_str());
-                    return -1;
-                }
-                local_host_ips.push_back(local_ip);
-            }
-        }
-    }
-    if (local_host_ips.empty()) {
-        // LOG_ERROR("fill_local_host_ip: can't find interface to get host IP");
-        return -1;
-    }
-    // memset(local_host_ip, 0, CCL_IP_LEN);
-    // strncpy(local_host_ip, local_host_ips.front().c_str(), CCL_IP_LEN);
-
-    // for (auto &ip : local_host_ips)
-    //   cout << ip << endl;
-
-    freeifaddrs(ifaddr);
-    return 0;
-}
+#define GET_IP_CMD            "hostname -I"
+#define MAX_KVS_VAL_LENGTH    130
+#define READ_ONLY             "r"
 
 static bool is_valid_ip(char ip[]) {
-  if (fill_local_host_ip() == -1) {
-    std::cerr << "fill_local_host_ip error" << std::endl;
-  };
-  for (std::list<std::string>::iterator it = local_host_ips.begin(); it != local_host_ips.end(); ++it) {
-    if (*it == ip) {
-      return true;
+    FILE *fp;
+    // TODO: use getifaddrs instead of popen
+    if ((fp = popen(GET_IP_CMD, READ_ONLY)) == NULL) {
+        printf("Can't get host IP\n");
+        exit(1);
     }
-  }
+    char host_ips[MAX_KVS_VAL_LENGTH];
+    fgets(host_ips, MAX_KVS_VAL_LENGTH, fp);
+    pclose(fp);
 
-  return false;
+    return strstr(host_ips, ip) ? true : false;
 }
 
 /*
  * Class:     org_apache_spark_ml_util_OneCCL__
  * Method:    getAvailPort
  * Signature: (Ljava/lang/String;)I
  */
-JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_c_1getAvailPort
+JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_getAvailPort
   (JNIEnv *env, jobject obj, jstring localIP) {
 
   // start from beginning of dynamic port

mllib-dal/src/main/scala/org/apache/spark/ml/clustering/KMeansDALImpl.scala

@@ -40,20 +40,21 @@ class KMeansDALImpl (
 
     instr.foreach(_.logInfo(s"Processing partitions with $executorNum executors"))
 
+    val executorIPAddress = Utils.sparkFirstExecutorIP(data.sparkContext)
+    val kvsIP = data.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
+
+    val kvsPortDetected = Utils.checkExecutorAvailPort(data, kvsIP)
+    val kvsPort = data.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
+
+    val kvsIPPort = kvsIP+"_"+kvsPort
+
     // repartition to executorNum if not enough partitions
     val dataForConversion = if (data.getNumPartitions < executorNum) {
       data.repartition(executorNum).setName("Repartitioned for conversion").cache()
     } else {
       data
     }
 
-    val executorIPAddress = Utils.sparkFirstExecutorIP(dataForConversion.sparkContext)
-    val kvsIP = dataForConversion.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
-    val kvsPortDetected = Utils.checkExecutorAvailPort(dataForConversion, kvsIP)
-    val kvsPort = dataForConversion.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
-
-    val kvsIPPort = kvsIP+"_"+kvsPort
-
     val partitionDims = Utils.getPartitionDims(dataForConversion)
 
     // filter the empty partitions

mllib-dal/src/main/scala/org/apache/spark/ml/feature/PCADALImpl.scala

@@ -47,11 +47,11 @@ class PCADALImpl (
 
     val coalescedTables = OneDAL.rddVectorToNumericTables(normalizedData, executorNum)
 
-    val executorIPAddress = Utils.sparkFirstExecutorIP(coalescedTables.sparkContext)
-    val kvsIP = coalescedTables.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
+    val executorIPAddress = Utils.sparkFirstExecutorIP(data.sparkContext)
+    val kvsIP = data.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
 
-    val kvsPortDetected = Utils.checkExecutorAvailPort(coalescedTables, kvsIP)
-    val kvsPort = coalescedTables.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
+    val kvsPortDetected = Utils.checkExecutorAvailPort(data, kvsIP)
+    val kvsPort = data.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
 
     val kvsIPPort = kvsIP+"_"+kvsPort
 

mllib-dal/src/main/scala/org/apache/spark/ml/recommendation/ALSDALImpl.scala

@@ -205,16 +205,23 @@ class ALSDALImpl[@specialized(Int, Long) ID: ClassTag](
 
     logInfo(s"ALSDAL fit using $executorNum Executors for $nVectors vectors and $nFeatures features")
 
-    val numericTables = data.repartition(executorNum).setName("Repartitioned for conversion").cache()
-
-    val executorIPAddress = Utils.sparkFirstExecutorIP(numericTables.sparkContext)
-    val kvsIP = numericTables.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
+    val executorIPAddress = Utils.sparkFirstExecutorIP(data.sparkContext)
+    val kvsIP = data.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
 
-    val kvsPortDetected = Utils.checkExecutorAvailPort(numericTables, kvsIP)
-    val kvsPort = numericTables.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
+    val kvsPortDetected = Utils.checkExecutorAvailPort(data, kvsIP)
+    val kvsPort = data.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
 
     val kvsIPPort = kvsIP+"_"+kvsPort
 
+    val numericTables = data.repartition(executorNum).setName("Repartitioned for conversion").cache()
+
+/*
+    val numericTables = if (data.getNumPartitions < executorNum) {
+      data.repartition(executorNum).setName("Repartitioned for conversion").cache()
+    } else {
+      data.coalesce(executorNum).setName("Coalesced for conversion").cache()
+    }
+*/
     val results = numericTables
       // Transpose the dataset
       .map { p =>

mllib-dal/src/main/scala/org/apache/spark/ml/util/OneCCL.scala

@@ -50,16 +50,12 @@ object OneCCL extends Logging {
     c_cleanup()
   }
 
-  def getAvailPort(localIP: String): Int = synchronized {
-    c_getAvailPort(localIP)
-  }
-
   @native private def c_init(size: Int, rank: Int, ip_port: String, param: CCLParam) : Int
   @native private def c_cleanup() : Unit
 
   @native def isRoot() : Boolean
   @native def rankID() : Int
 
   @native def setEnv(key: String, value: String, overwrite: Boolean = true): Int
-  @native def c_getAvailPort(localIP: String): Int
+  @native def getAvailPort(localIP: String): Int
 }

mllib-dal/test.sh

@@ -35,9 +35,9 @@ export LD_PRELOAD=$JAVA_HOME/jre/lib/amd64/libjsig.so
 # -Dtest=none to turn off the Java tests
 
 # Test all
-# mvn -Dtest=none -Dmaven.test.skip=false test
+mvn -Dtest=none -Dmaven.test.skip=false test
 
 # Individual test
-mvn -Dtest=none -DwildcardSuites=org.apache.spark.ml.clustering.IntelKMeansSuite test
-mvn -Dtest=none -DwildcardSuites=org.apache.spark.ml.feature.IntelPCASuite test
+# mvn -Dtest=none -DwildcardSuites=org.apache.spark.ml.clustering.IntelKMeansSuite test
+# mvn -Dtest=none -DwildcardSuites=org.apache.spark.ml.feature.IntelPCASuite test
 # mvn -Dtest=none -DwildcardSuites=org.apache.spark.ml.recommendation.IntelALSSuite test