- 使用 Spring Initializr 创建 Spring Boot 应用程序
- 在Spring Boot中配置Cassandra
- 在 Spring Boot 上配置 Tomcat 连接池
- 将Camel消息路由到嵌入WildFly的Artemis上
本文整理了Java中org.apache.hive.jdbc.ZooKeeperHiveClientException
类的一些代码示例,展示了ZooKeeperHiveClientException
类的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。ZooKeeperHiveClientException
类的具体详情如下:
包路径:org.apache.hive.jdbc.ZooKeeperHiveClientException
类名称:ZooKeeperHiveClientException
暂无
代码示例来源:origin: apache/hive
private static List<String> getServerHosts(JdbcConnectionParams connParams, CuratorFramework
zooKeeperClient) throws Exception {
List<String> serverHosts = zooKeeperClient.getChildren().forPath("/" + getZooKeeperNamespace(connParams));
// Remove the znodes we've already tried from this list
serverHosts.removeAll(connParams.getRejectedHostZnodePaths());
if (serverHosts.isEmpty()) {
throw new ZooKeeperHiveClientException(
"Tried all existing HiveServer2 uris from ZooKeeper.");
}
return serverHosts;
}
代码示例来源:origin: apache/hive
/**
* Read the next server coordinates (host:port combo) from ZooKeeper. Ignore the znodes already
* explored. Also update the host, port, jdbcUriString and other configs published by the server.
*
* @param connParams
* @return true if new server info is retrieved successfully
*/
static boolean updateConnParamsFromZooKeeper(JdbcConnectionParams connParams) {
// Add current host to the rejected list
connParams.getRejectedHostZnodePaths().add(connParams.getCurrentHostZnodePath());
String oldServerHost = connParams.getHost();
int oldServerPort = connParams.getPort();
// Update connection params (including host, port) from ZooKeeper
try {
ZooKeeperHiveClientHelper.configureConnParams(connParams);
connParams.setJdbcUriString(connParams.getJdbcUriString().replace(
oldServerHost + ":" + oldServerPort, connParams.getHost() + ":" + connParams.getPort()));
LOG.info("Selected HiveServer2 instance with uri: " + connParams.getJdbcUriString());
} catch(ZooKeeperHiveClientException e) {
LOG.error(e.getMessage());
return false;
}
return true;
}
代码示例来源:origin: apache/hive
private static void updateParamsWithZKServerNode(JdbcConnectionParams connParams,
CuratorFramework zooKeeperClient, String serverNode) throws Exception {
String zooKeeperNamespace = getZooKeeperNamespace(connParams);
connParams.setCurrentHostZnodePath(serverNode);
// Read data from the znode for this server node
// This data could be either config string (new releases) or server end
// point (old releases)
String dataStr =
new String(
zooKeeperClient.getData().forPath("/" + zooKeeperNamespace + "/" + serverNode),
Charset.forName("UTF-8"));
// If dataStr is not null and dataStr is not a KV pattern,
// it must be the server uri added by an older version HS2
Matcher matcher = kvPattern.matcher(dataStr);
if ((dataStr != null) && (!matcher.find())) {
String[] split = dataStr.split(":");
if (split.length != 2) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 uri from ZooKeeper: "
+ dataStr);
}
connParams.setHost(split[0]);
connParams.setPort(Integer.parseInt(split[1]));
} else {
applyConfs(dataStr, connParams);
}
}
代码示例来源:origin: org.spark-project.hive/hive-jdbc
throw new SQLException(
"Could not open client transport for any of the Server URI's in ZooKeeper: "
+ ze.getMessage(), " 08S01", ze);
代码示例来源:origin: apache/hive
static void configureConnParams(JdbcConnectionParams connParams) throws ZooKeeperHiveClientException {
if (isZkHADynamicDiscoveryMode(connParams.getSessionVars())) {
configureConnParamsHA(connParams);
} else {
CuratorFramework zooKeeperClient = null;
try {
zooKeeperClient = getZkClient(connParams);
List<String> serverHosts = getServerHosts(connParams, zooKeeperClient);
// Now pick a server node randomly
String serverNode = serverHosts.get(new Random().nextInt(serverHosts.size()));
updateParamsWithZKServerNode(connParams, zooKeeperClient, serverNode);
} catch (Exception e) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 configs from ZooKeeper", e);
} finally {
// Close the client connection with ZooKeeper
if (zooKeeperClient != null) {
zooKeeperClient.close();
}
}
}
}
代码示例来源:origin: com.github.hyukjinkwon/hive-jdbc
throw new SQLException(
"Could not open client transport for any of the Server URI's in ZooKeeper: "
+ ze.getMessage(), " 08S01", ze);
代码示例来源:origin: apache/hive
static List<JdbcConnectionParams> getDirectParamsList(JdbcConnectionParams connParams)
throws ZooKeeperHiveClientException {
CuratorFramework zooKeeperClient = null;
try {
zooKeeperClient = getZkClient(connParams);
List<String> serverHosts = getServerHosts(connParams, zooKeeperClient);
final List<JdbcConnectionParams> directParamsList = new ArrayList<>();
// For each node
for (String serverNode : serverHosts) {
JdbcConnectionParams directConnParams = new JdbcConnectionParams(connParams);
directParamsList.add(directConnParams);
updateParamsWithZKServerNode(directConnParams, zooKeeperClient, serverNode);
}
return directParamsList;
} catch (Exception e) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 configs from ZooKeeper", e);
} finally {
// Close the client connection with ZooKeeper
if (zooKeeperClient != null) {
zooKeeperClient.close();
}
}
}
代码示例来源:origin: org.apache.hive/hive-jdbc
/**
* Read the next server coordinates (host:port combo) from ZooKeeper. Ignore the znodes already
* explored. Also update the host, port, jdbcUriString and other configs published by the server.
*
* @param connParams
* @return true if new server info is retrieved successfully
*/
static boolean updateConnParamsFromZooKeeper(JdbcConnectionParams connParams) {
// Add current host to the rejected list
connParams.getRejectedHostZnodePaths().add(connParams.getCurrentHostZnodePath());
String oldServerHost = connParams.getHost();
int oldServerPort = connParams.getPort();
// Update connection params (including host, port) from ZooKeeper
try {
ZooKeeperHiveClientHelper.configureConnParams(connParams);
connParams.setJdbcUriString(connParams.getJdbcUriString().replace(
oldServerHost + ":" + oldServerPort, connParams.getHost() + ":" + connParams.getPort()));
LOG.info("Selected HiveServer2 instance with uri: " + connParams.getJdbcUriString());
} catch(ZooKeeperHiveClientException e) {
LOG.error(e.getMessage());
return false;
}
return true;
}
代码示例来源:origin: apache/hive
throw new ZooKeeperHiveClientException("Unable to connect to HiveServer2 Active host (No leader found!) after" +
" " + maxRetries + " retries.");
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 configs from ZooKeeper", e);
代码示例来源:origin: org.apache.hive/hive-jdbc
private static List<String> getServerHosts(JdbcConnectionParams connParams, CuratorFramework
zooKeeperClient) throws Exception {
List<String> serverHosts = zooKeeperClient.getChildren().forPath("/" + getZooKeeperNamespace(connParams));
// Remove the znodes we've already tried from this list
serverHosts.removeAll(connParams.getRejectedHostZnodePaths());
if (serverHosts.isEmpty()) {
throw new ZooKeeperHiveClientException(
"Tried all existing HiveServer2 uris from ZooKeeper.");
}
return serverHosts;
}
代码示例来源:origin: org.spark-project.hive/hive-jdbc
throw new ZooKeeperHiveClientException(
"Tried all existing HiveServer2 uris from ZooKeeper.");
return serverUri;
} catch (Exception e) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 uri from ZooKeeper", e);
} finally {
代码示例来源:origin: com.github.hyukjinkwon/hive-jdbc
throw new ZooKeeperHiveClientException(
"Tried all existing HiveServer2 uris from ZooKeeper.");
return serverUri;
} catch (Exception e) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 uri from ZooKeeper", e);
} finally {
代码示例来源:origin: org.apache.hive/hive-jdbc
private static void updateParamsWithZKServerNode(JdbcConnectionParams connParams,
CuratorFramework zooKeeperClient, String serverNode) throws Exception {
String zooKeeperNamespace = getZooKeeperNamespace(connParams);
connParams.setCurrentHostZnodePath(serverNode);
// Read data from the znode for this server node
// This data could be either config string (new releases) or server end
// point (old releases)
String dataStr =
new String(
zooKeeperClient.getData().forPath("/" + zooKeeperNamespace + "/" + serverNode),
Charset.forName("UTF-8"));
// If dataStr is not null and dataStr is not a KV pattern,
// it must be the server uri added by an older version HS2
Matcher matcher = kvPattern.matcher(dataStr);
if ((dataStr != null) && (!matcher.find())) {
String[] split = dataStr.split(":");
if (split.length != 2) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 uri from ZooKeeper: "
+ dataStr);
}
connParams.setHost(split[0]);
connParams.setPort(Integer.parseInt(split[1]));
} else {
applyConfs(dataStr, connParams);
}
}
代码示例来源:origin: org.apache.hive/hive-jdbc
static List<JdbcConnectionParams> getDirectParamsList(JdbcConnectionParams connParams)
throws ZooKeeperHiveClientException {
CuratorFramework zooKeeperClient = null;
try {
zooKeeperClient = getZkClient(connParams);
List<String> serverHosts = getServerHosts(connParams, zooKeeperClient);
final List<JdbcConnectionParams> directParamsList = new ArrayList<>();
// For each node
for (String serverNode : serverHosts) {
JdbcConnectionParams directConnParams = new JdbcConnectionParams(connParams);
directParamsList.add(directConnParams);
updateParamsWithZKServerNode(directConnParams, zooKeeperClient, serverNode);
}
return directParamsList;
} catch (Exception e) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 configs from ZooKeeper", e);
} finally {
// Close the client connection with ZooKeeper
if (zooKeeperClient != null) {
zooKeeperClient.close();
}
}
}
代码示例来源:origin: org.apache.hive/hive-jdbc
static void configureConnParams(JdbcConnectionParams connParams) throws ZooKeeperHiveClientException {
if (isZkHADynamicDiscoveryMode(connParams.getSessionVars())) {
configureConnParamsHA(connParams);
} else {
CuratorFramework zooKeeperClient = null;
try {
zooKeeperClient = getZkClient(connParams);
List<String> serverHosts = getServerHosts(connParams, zooKeeperClient);
// Now pick a server node randomly
String serverNode = serverHosts.get(new Random().nextInt(serverHosts.size()));
updateParamsWithZKServerNode(connParams, zooKeeperClient, serverNode);
} catch (Exception e) {
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 configs from ZooKeeper", e);
} finally {
// Close the client connection with ZooKeeper
if (zooKeeperClient != null) {
zooKeeperClient.close();
}
}
}
}
代码示例来源:origin: org.apache.hive/hive-jdbc
throw new ZooKeeperHiveClientException("Unable to connect to HiveServer2 Active host (No leader found!) after" +
" " + maxRetries + " retries.");
throw new ZooKeeperHiveClientException("Unable to read HiveServer2 configs from ZooKeeper", e);
代码示例来源:origin: org.spark-project.hive/hive-jdbc
throw new ZooKeeperHiveClientException(e);
代码示例来源:origin: com.github.hyukjinkwon/hive-jdbc
throw new ZooKeeperHiveClientException(e);
我可以将 CSV 或任何其他平面文件导入到 hive 中,而无需先在 hive 中创建和定义表结构吗?假设我的 csv 文件有 200 列,需要导入到 hive 表中。所以我必须首先在 hive 中创
我有以下示例数据,我试图在 hive 中爆炸它.. 我使用了 split 但我知道我错过了一些东西.. ["[[-80.742426,35.23248],[-80.740424,35.23184],[
我有一个很大的日志文件,我加载到 HDFS . HDFS将根据机架感知复制到不同的节点。 现在我将相同的文件加载到配置单元表中。命令如下: create table log_analysis (log
我正在尝试使用 UDF在 hive 中。但是当我尝试使用 userdate as 'unixtimeToDate' 创建一个临时函数时,我得到这个异常(exception) hive> create
在Mysql中,我们可以使用DO sleep(5) ;来进行暂停。但它在 Hive 中不起作用。 Hive有 sleep 功能吗? 最佳答案 你可以通过反射调用Thread让hive在处理每一行后多等
我正在将数据从 csv 文件导入 Hive。我的表包含字符串和整数。但是,在我的输入文件中,整数周围有空格,所以它看起来像这样: some string, 2 ,another stri
我可以嵌套吗select在 Hive 中具有不同的条件?例如 如果我有以下两个 Hive 查询: select percentile(x, 0.95) from t1 where y = 1; sel
hive 安装有什么特定的模式吗? 例如,Hadoop 安装有 3 种模式:独立、伪分布式和完全分布式。 同样,Hive 是否有任何特定类型的分布? Hive 可以分布式安装吗? 最佳答案 Hive
我正在使用 Hive,我有一个结构如下的表: CREATE TABLE t1 ( id INT, created TIMESTAMP, some_value BIGINT ); 我需要找到
我是 Hadoop 生态系统工具的新手。 任何人都可以帮助我了解 hive 、直线和 hive 之间的区别。 提前致谢! 最佳答案 Apache hive : 1] Apache Hive 是一个建立
如何在 Hive 中写出数组文字? SELECT PERCENTILE(my_column, [0.5, 0.25, 0.50, 0.75, 0.95]) AS quantiles FROM my_t
我正在尝试在Hive中重命名columnName。是否可以在Hive中重命名列名称。 tableA(栏1,_c1,_c2) 至 tableA(column1,column2,column3) ?? 最
减号查询似乎在 HIVE 中不起作用。 尝试过: select x from abc minus select x from bcd ; 我做错了还是没有为 HIVE 定义负查询?如果是这样,还有其他
我正在尝试使用 hive-jdbc 连接将数据插入 Hive (NON-ACID) 表。如果我在“语句”中执行单个 SQL 查询,它就可以工作。如果我尝试使用“addBatch”对 SQL 进行批处理
我知道这些, 要获取表中的列名,我们可以触发: show columns in . 要获取表的描述(包括 column_name、column_type 和许多其他详细信息): describe [f
无法找到有关 Hive 表最大字符限制的合适规范。 我正在开发一个涉及 hive 表的 ETL 过程,这些表已指定格式为 _ 的命名约定,并且提供的表名称远大于 30 字节(pl/sql 的正常限制)
在安装了Hive的集群中,metastore和namenode有什么?我了解 Metastore 拥有所有表架构、分区详细信息和元数据。现在这个元数据是什么?那么namenode有什么呢?这个元存储在
Hive 中静态分区和动态分区的主要区别是什么?使用单独的插入意味着静态,而对分区表的单个插入意味着动态。还有什么优点吗? 最佳答案 在静态分区中,我们需要在每个 LOAD 语句中指定分区列值。 假设
我是 hadoop 和 hive 的新手。如果有人研究过pivot in hive的概念,请与我分享。 例如:来自 teradata 或 oracle 的数据未转置,这些数据应在 hive 中转置。那
1)如果分区列没有数据,那么当你查询它时,你会得到什么错误? 2)如果某些行没有分区列,这些行将如何处理?会不会有数据丢失? 3)为什么需要对数字列进行分桶?我们也可以使用字符串列吗?流程是什么?您将
我是一名优秀的程序员,十分优秀!