我的组合框很少。我通过绑定源(我使用EF6)初始化它们的数据源。我的组合框任务如下:
因此,当我将AutoCompleteMode属性设置为“ Suggested”时,自动完成不起作用。奇怪的是,我还有另外两个组合框,它们的设置完全相同(我会说),并且它们起作用了……自动补全对它们起作用。
如何调试它?
答案 0 :(得分:1)
要设置自动完成用户输入字符串的ComboBox
,我们需要配置3个不同的属性。文档中的说明:
使用
AutoCompleteCustomSource
,AutoCompleteMode
和AutoCompleteSource
个属性来创建一个ComboBox
通过比较以下前缀自动自动完成输入字符串 输入维护的源中所有字符串的前缀
AutoCompleteCustomSource:提供自动完成字符串来源的专业项目集合。
AutoCompleteMode:定义如何执行输入自动完成。
AutoCompleteSource:指定完成功能的来源。
使用已定义路径中的“文件”或“目录”列表,FileSystem
,RecentUsedItems
URL或在这种情况下为AutoCompleteSource.CustomSource,后者可以是HistoryList
,指示要完成的项目的源列表由AutoCompleteStringCollection提供,可以指定AutoCompleteCustomSource
属性,将AutoCompleteStringCollection
属性分配给List
或另一个兼容的源(IEnumerable
用于例如,由于此集合实现了IList
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# Define some default values that can be overridden by system properties
hive.log.threshold=ALL
hive.root.logger=INFO,DRFA
hive.log.dir=${java.io.tmpdir}/${user.name}
hive.log.file=hive.log
# Define the root logger to the system property "hadoop.root.logger".
log4j.rootLogger=${hive.root.logger}, EventCounter
# Logging Threshold
log4j.threshold=${hive.log.threshold}
#
# Daily Rolling File Appender
#
# Use the PidDailyerRollingFileAppend class instead if you want to use separate log files
# for different CLI session.
#
# log4j.appender.DRFA=org.apache.hadoop.hive.ql.log.PidDailyRollingFileAppender
log4j.appender.DRFA=org.apache.log4j.DailyRollingFileAppender
log4j.appender.DRFA.File=${hive.log.dir}/${hive.log.file}
# Rollver at midnight
log4j.appender.DRFA.DatePattern=.yyyy-MM-dd
# 30-day backup
#log4j.appender.DRFA.MaxBackupIndex= 30
log4j.appender.DRFA.MaxFileSize = 256MB
log4j.appender.DRFA.layout=org.apache.log4j.PatternLayout
# Pattern format: Date LogLevel LoggerName LogMessage
#log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
# Debugging Pattern format
log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %-5p [%t]: %c{2} (%F:%M(%L)) - %m%n
#
# console
# Add "console" to rootlogger above if you want to use this
#
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} [%t]: %p %c{2}: %m%n
log4j.appender.console.encoding=UTF-8
#custom logging levels
#log4j.logger.xxx=DEBUG
#
# Event Counter Appender
# Sends counts of logging messages at different severity levels to Hadoop Metrics.
#
log4j.appender.EventCounter=org.apache.hadoop.hive.shims.HiveEventCounter
log4j.category.DataNucleus=ERROR,DRFA
log4j.category.Datastore=ERROR,DRFA
log4j.category.Datastore.Schema=ERROR,DRFA
log4j.category.JPOX.Datastore=ERROR,DRFA
log4j.category.JPOX.Plugin=ERROR,DRFA
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} [%t]: %p %c{2}: %m%n
log4j.appender.console.encoding=UTF-8
#custom logging levels
#log4j.logger.xxx=DEBUG
#
# Event Counter Appender
# Sends counts of logging messages at different severity levels to Hadoop Metrics.
#
log4j.appender.EventCounter=org.apache.hadoop.hive.shims.HiveEventCounter
log4j.category.DataNucleus=ERROR,DRFA
log4j.category.Datastore=ERROR,DRFA
log4j.category.Datastore.Schema=ERROR,DRFA
log4j.category.JPOX.Datastore=ERROR,DRFA
log4j.category.JPOX.Plugin=ERROR,DRFA
接口)。