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ブラックベリーフォーラムから取得した次のコードは、8500シリーズセットでBBPIMAPIを使用して2000のランダムな連絡先を作成するのに約26分かかります。なぜそんなに時間がかかるのか、名簿での連絡先作成のパフォーマンスを改善する方法を誰かが知っていますか？

public static void testContactCreation() {
    ContactList contacts = null;
    try {
      contacts = (ContactList) PIM.getInstance().openPIMList(PIM.CONTACT_LIST, PIM.READ_WRITE);
    } catch (PIMException e) {
      // An error occurred
      return;
    }

    String arrSzCities[] = {"Birmingham", "Walsall", "Wolverhampton", "Banbury", "Bromsgrove", "Lichfield", "Balsall Heath",
        "West Bromich", "Smethwick", "Scott Arms", "Perry Barr", "Small Heath", "Acocks Green", "Great Barr",
        "Harborne", "Selly Oak", "Newtown", "Hockley", "Nuneaton", "Stafford", "Stoke", "Sandwell", "Brierly Hill",
        "Longbridge", "Sutton Coldfield", "Tamworth", "Coventry", "Rugby", "Hall Green", "Olton", "Dorridge",
        "Lapworth", "Shirley", "Wythall", "Warwick", "Dudley", "Barnt Green", "Tile Hill", "Berkswell", "Canley",
        "Yardley", "Yardley Wood", "Bordesley Green", "Cosely", "Four Oaks", "Erdington", "Aston", "Duddington"};

    String arrSzCountries[] = {"England", "Wales", "Scotland", "Northern Ireland", "Eire", "Spain", "France", "Italy",
        "Monaco", "Switzerland", "Austria", "Germany", "Lapland", "Estonia", "Hungary", "Slovakia", "Slovenia",
        "Czech Republic", "Latvia", "Holland", "Belgium", "Luxembourg", "Iceland", "Finland", "Denmark", "Norway"};

    String arrSzFamilyNames[] = {"SMITH", "JOHNSON", "WILLIAMS", "BROWN", "JONES", "MILLER", "DAVIS", "GARCIA", "RODRIGUEZ",
        "WILSON", "MARTINEZ", "ANDERSON", "TAYLOR", "THOMAS", "HERNANDEZ", "MOORE", "MARTIN", "JACKSON", "THOMPSON",
        "WHITE", "LOPEZ", "LEE", "GONZALEZ", "HARRIS", "CLARK", "LEWIS", "ROBINSON", "WALKER", "PEREZ", "HALL", "YOUNG",
        "ALLEN", "SANCHEZ", "WRIGHT", "KING", "SCOTT", "GREEN", "BAKER", "ADAMS", "NELSON", "HILL", "RAMIREZ", "CAMPBELL",
        "MITCHELL", "ROBERTS", "CARTER", "PHILLIPS", "EVANS", "TURNER", "TORRES", "PARKER", "COLLINS", "EDWARDS", "STEWART",
        "FLORES", "MORRIS", "NGUYEN", "MURPHY", "RIVERA", "COOK", "ROGERS", "MORGAN", "PETERSON", "COOPER", "REED",
        "BAILEY", "BELL", "GOMEZ", "KELLY", "HOWARD", "WARD", "COX", "DIAZ", "RICHARDSON", "WOOD", "WATSON", "BROOKS",
        "BENNETT", "GRAY", "JAMES", "REYES", "CRUZ", "HUGHES", "PRICE", "MYERS", "LONG", "FOSTER", "SANDERS", "ROSS",
        "MORALES", "POWELL", "SULLIVAN", "RUSSELL", "ORTIZ", "JENKINS", "GUTIERREZ", "PERRY", "BUTLER", "BARNES", "FISHER",
        "HENDERSON", "COLEMAN", "SIMMONS", "PATTERSON", "JORDAN", "REYNOLDS", "HAMILTON", "GRAHAM", "KIM", "GONZALES",
        "ALEXANDER", "RAMOS", "WALLACE", "GRIFFIN", "WEST",
        "COLE", "HAYES", "CHAVEZ", "GIBSON", "BRYANT", "ELLIS", "STEVENS", "MURRAY", "FORD", "MARSHALL", "OWENS",
        "MCDONALD", "HARRISON", "RUIZ", "KENNEDY", "WELLS", "ALVAREZ", "WOODS", "MENDOZA", "CASTILLO", "OLSON",
        "WEBB", "WASHINGTON", "TUCKER", "FREEMAN", "BURNS", "HENRY", "VASQUEZ", "SNYDER", "SIMPSON", "CRAWFORD", "JIMENEZ",
        "PORTER", "MASON", "SHAW", "GORDON", "WAGNER", "HUNTER", "ROMERO", "HICKS", "DIXON", "HUNT", "PALMER", "ROBERTSON",
        "BLACK", "HOLMES", "STONE", "MEYER", "BOYD", "MILLS", "WARREN", "FOX", "ROSE", "RICE", "MORENO", "SCHMIDT", "PATEL",
        "FERGUSON", "NICHOLS", "HERRERA", "MEDINA", "RYAN", "FERNANDEZ", "WEAVER", "DANIELS", "STEPHENS", "GARDNER", "PAYNE",
        "KELLEY", "DUNN", "PIERCE", "ARNOLD", "TRAN", "SPENCER", "PETERS", "HAWKINS", "GRANT", "HANSEN", "CASTRO", "HOFFMAN",
        "HART", "ELLIOTT", "CUNNINGHAM", "KNIGHT"};

    String arrSzFirstNames[] = {"MARY", "PATRICIA", "LINDA", "BARBARA", "ELIZABETH", "JENNIFER", "MARIA", "SUSAN", "MARGARET",
        "DOROTHY", "LISA", "NANCY", "KAREN", "BETTY", "HELEN", "SANDRA", "DONNA", "CAROL", "RUTH", "SHARON", "MICHELLE",
        "LAURA", "SARAH", "KIMBERLY", "DEBORAH", "JESSICA", "SHIRLEY", "CYNTHIA", "ANGELA", "MELISSA", "BRENDA", "AMY",
        "ANNA", "REBECCA", "VIRGINIA", "KATHLEEN", "PAMELA", "MARTHA", "DEBRA", "AMANDA", "STEPHANIE", "CAROLYN", "CHRISTINE",
        "MARIE", "JANET", "CATHERINE", "FRANCES", "ANN", "JOYCE", "DIANE", "ALICE", "JULIE", "HEATHER", "TERESA", "DORIS",
        "GLORIA", "EVELYN", "JEAN", "CHERYL", "MILDRED", "GERALD", "KEITH", "SAMUEL",
        "JAMES", "JOHN", "ROBERT", "MICHAEL", "WILLIAM", "DAVID", "RICHARD", "CHARLES", "JOSEPH", "THOMAS", "CHRISTOPHER",
        "DANIEL", "PAUL", "MARK", "DONALD", "GEORGE", "KENNETH", "STEVEN", "EDWARD", "BRIAN", "RONALD", "ANTHONY",
        "KEVIN", "JASON", "MATTHEW", "GARY", "TIMOTHY", "JOSE", "LARRY", "JEFFREY", "FRANK", "SCOTT", "ERIC", "STEPHEN",
        "ANDREW", "RAYMOND", "GREGORY", "JOSHUA", "JERRY", "DENNIS", "WALTER", "PATRICK", "PETER", "HAROLD", "DOUGLAS",
        "HENRY", "CARL", "ARTHUR", "RYAN", "ROGER", "JOE", "JUAN", "JACK", "ALBERT", "JONATHAN", "JUSTIN", "TERRY"};

    String arrSzEmailProviders[] = {"google", "yahoo", "wanadoo", "freemail", "aol", "yellowmellow", "redmail", "bt", "tiscali",
        "naims", "bulldog", "demon", "virgin", "sky", "orange", "vodaphone", "o2", "three", "britishgas", "npower",
        "britishtelecom", "royalmail", "parcelforce", "dhl", "usps", "ford", "rover", "fiat", "seat", "volvo", "bmw",
        "landrover", "jaguar", "warburtons", "kingsmill", "hovis", "walkers", "cadburys", "ironbru", "redbull", "jura"};

    String arrSzAlphas[] = {"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T",
        "U", "V", "W", "X", "Y", "Z"};

    String arrSzStreetSuffixes[] = {"Road", "Street", "Crescent", "Close", "Way", "Mews", "Common", "Alley", "Common", "Grove",
        "Place", "Mill", "Manor", "Lane", "March", "Hill", "Park", "Passage", "Path", "Row", "Square", "Terrace", "View"};

    String arrSzStreetNames[] = {"High", "Station", "Main", "Park", "Church", "London", "Victoria", "Albert", "Green", "Manor",
        "Church", "Park", "Queens", "New", "Grange Road", "Kings Road", "North", "West", "South", "East", "Windsor",
        "Highfield", "Mill", "Alexander", "York", "St. John's", "Broad", "Springfield", "George", "Manchester", "Richmond",
        "School", "Stanley", "Chester", "Aghaloo", "Picadilly", "**bleep**", "Wooburn", "Crazies", "Valentia", "Luton", "Croydon",
        "Rookery", "Coronation", "Dawlish", "Tiverton", "Dartmouth", "Hubert", "Bristol", "Arley", "Grange", "Dale",
        "Serpentine", "Bournebrook", "University", "Holly", "Kitchener", "Millner", "Westminster", "Cherrington", "Gristhorpe",
        "Kensington", "Cartland", "Horatio", "Ethelbert", "Hornblower", "Hanky Panky", "Bewdley", "Acorn", "Berry", "Moor",
        "Brent", "Mungo Jerry", "Highbury", "Howell", "Tenbury", "Peacock", "Hartswell"};

    Random generator = new Random(1628434416);
    for (int i = 0; i < 2000; i++) {
      Contact contact = contacts.createContact();
      String[] addr = new String[contacts.stringArraySize(Contact.ADDR)];
      String[] szName = new String[contacts.stringArraySize(Contact.NAME)];

      // Family Name
      if (contacts.isSupportedArrayElement(Contact.NAME, Contact.NAME_FAMILY))
        szName[Contact.NAME_FAMILY] = arrSzFamilyNames[generator.nextInt(arrSzFamilyNames.length)];
      // First Name
      if (contacts.isSupportedArrayElement(Contact.NAME, Contact.NAME_GIVEN))
        szName[Contact.NAME_GIVEN] = arrSzFirstNames[generator.nextInt(arrSzFirstNames.length)];
      // Add name to contact
      contact.addStringArray(Contact.NAME, PIMItem.ATTR_NONE, szName);

      // Postcode (UK format)
      if (contacts.isSupportedArrayElement(Contact.ADDR, Contact.ADDR_POSTALCODE))
        addr[Contact.ADDR_POSTALCODE] =
            arrSzAlphas[generator.nextInt(arrSzAlphas.length)] + arrSzAlphas[generator.nextInt(arrSzAlphas.length)]
                + Integer.toString(generator.nextInt(99)) + Integer.toString(generator.nextInt(9)) + " "
                + arrSzAlphas[generator.nextInt(arrSzAlphas.length)] + arrSzAlphas[generator.nextInt(arrSzAlphas.length)];

      // Street and number
      if (contacts.isSupportedArrayElement(Contact.ADDR, Contact.ADDR_STREET))
        addr[Contact.ADDR_STREET] = Integer.toString(generator.nextInt(999)) + " "
            + arrSzStreetNames[generator.nextInt(arrSzStreetNames.length)]
            + " " + arrSzStreetSuffixes[generator.nextInt(arrSzStreetSuffixes.length)];

      // Locality
      if (contacts.isSupportedArrayElement(Contact.ADDR, Contact.ADDR_LOCALITY))
        addr[Contact.ADDR_LOCALITY] = arrSzCities[generator.nextInt(arrSzCities.length)];
      // Country
      if (contacts.isSupportedArrayElement(Contact.ADDR, Contact.ADDR_COUNTRY))
        addr[Contact.ADDR_COUNTRY] = arrSzCountries[generator.nextInt(arrSzCountries.length)];
      if (contacts.isSupportedField(Contact.ADDR))
        contact.addStringArray(Contact.ADDR, Contact.ATTR_HOME, addr);

      // Email address
      if (contacts.isSupportedField(Contact.EMAIL)) {
        contact.addString(Contact.EMAIL, Contact.ATTR_HOME | Contact.ATTR_PREFERRED, szName[Contact.NAME_GIVEN] + "." + szName[Contact.NAME_FAMILY] + "@" + arrSzEmailProviders[generator.nextInt(arrSzEmailProviders.length)] + ".com");
      }

      // Telephone numbers (work and home)
      String szTelHome = "";
      String szTelWork = "";
      for (int j = 0; j < 7; j++) {
        String szDigit = Integer.toString(generator.nextInt(9));
        szTelHome = szTelHome + szDigit;
        szTelWork = szDigit + szTelWork;
      }
      if (contacts.isSupportedField(Contact.TEL)) {
        contact.addString(Contact.TEL, Contact.ATTR_HOME, szTelHome);
      }
      if (contacts.isSupportedField(Contact.TEL)) {
        contact.addString(Contact.TEL, Contact.ATTR_WORK, szTelHome);
      }

      try {
        contact.commit();
      } catch (PIMException e) {
        // An error occured

      }
    }

    try {
      contacts.close();
    } catch (PIMException e) {
    }
  }
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1 に答える 1

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うーん..2000の連絡先の26分は、1つの連絡先あたり780ミリ秒を意味します。

1）。contact.commit();ここで最も時間のかかる電話ではないことを確認できますか？次のようなsmthを使用すると、これを比較的正確に行うことができます。

long timeSpentOnCommits; // defined somewhere at a top level
...
long start = System.currentTimeMillis();
contact.commit();
long taken = System.currentTimeMillis() - start;
timeSpentOnCommits += taken;
...
// then after the all contacts have been added you can get 
// an average commit time:
long timePerOneCommit = timeSpentOnCommits / 2000;
// view the got value in a `Dialog` or some logging

それがほとんどの時間かかるなら、私はあなたがそれを改善することができないと思います。

2）。別のアイデア-'for'ループでは、作成するStringオブジェクトが多すぎるため、OSがガベージコレクションを頻繁に呼び出す必要があります（これは時間のかかる作業です）。

StringBuffer代わりに使用してください。だから代わりに

addr[Contact.ADDR_POSTALCODE] =
    arrSzAlphas[generator.nextInt(arrSzAlphas.length)]
    + arrSzAlphas[generator.nextInt(arrSzAlphas.length)]
    + Integer.toString(generator.nextInt(99)) 
    + Integer.toString(generator.nextInt(9)) 
    + " "
    + arrSzAlphas[generator.nextInt(arrSzAlphas.length)]
    + arrSzAlphas[generator.nextInt(arrSzAlphas.length)];

これを使って：

addr[Contact.ADDR_POSTALCODE] = new StringBuffer()
    .append(arrSzAlphas[generator.nextInt(arrSzAlphas.length)])
    .append(arrSzAlphas[generator.nextInt(arrSzAlphas.length)])
    .append(generator.nextInt(99))
    .append(generator.nextInt(9))
    .append(' ')
    .append(arrSzAlphas[generator.nextInt(arrSzAlphas.length)])
    .append(arrSzAlphas[generator.nextInt(arrSzAlphas.length)])
    .toString();

はどのプリミティブ型でもオーバーロードされるため、オブジェクトStringBuffer.append()に変換しなくてもintとcharを直接受け入れることができることに注意してください。String

電話番号の生成にも同じアプローチを使用する必要があります。

3）。'for'ループからすべての繰り返し呼び出しを抽出することで、速度をわずかに向上させることができます。たとえば、呼び出す回数を数えるだけですarrSzAlphas.length（2000回の反復*1回の反復あたり4回の呼び出し=8000回！）が、ループの前に1回呼び出すだけで、ループから見える最終的なローカル変数に格納できます。同じことが一連のcontacts.isSupportedXXXX呼び出しにも当てはまります。すべての反復で何度も呼び出すのではなく、ループが開始する前に1回呼び出すだけです。

于 2011-05-31T21:16:24.030 に答える