Databricks Runtime 5.0(不受支持)Databricks Runtime 5.0 (Unsupported)
Databricks 于 2018 年 11 月发布了此映像。Databricks released this image in November 2018.
以下发行说明提供了由 Apache Spark 支持的 Databricks Runtime 5.0 的相关信息。The following release notes provide information about Databricks Runtime 5.0, powered by Apache Spark.
新功能New Features
Delta LakeDelta Lake
- 现在,
WHERE
子句中支持子查询,以支持DELETE
和UPDATE
命令。Subqueries are now supported in theWHERE
clause for the support forDELETE
andUPDATE
commands. 请参阅从(Azure Databricks 上的 Delta Lake)中删除和更新(Azure Databricks 上的 Delta Lake)。See Delete From (Delta Lake on Azure Databricks) and Update (Delta Lake on Azure Databricks). MERGE
命令的新的可缩放实现。New scalable implementation forMERGE
commands. 请参阅合并到(Azure Databricks 上的 Delta Lake)。See Merge Into (Delta Lake on Azure Databricks).- 插入和更新次数没有限制。No limit on the number of inserts and updates.
- 可用于 SCD Type 1 和 Type 2 查询。Can be used for SCD Type 1 and Type 2 queries. 请参阅示例使用 MERGE 的 SCD Type 2 笔记本。See example SCD Type 2 using MERGE notebook.
- 可以在“更新”模式下从流式处理查询执行更新插入(例如,将流式处理聚合输出写入 Delta 表)。Can be to perform upserts from streaming queries in “update” mode (for example, write streaming aggregation output to a Delta table). 请参阅示例使用 MERGE 和 foreachBatch 将流式处理聚合写入 Databricks Delta 笔记本。See example Writing streaming aggregates into Databricks Delta Using MERGE and foreachBatch notebook.
- 现在,
结构化流式处理Structured Streaming
- 基于 Azure Blob 存储文件通知的流式处理源。Azure Blob storage file notification based streaming source. 当对 Azure Blob 存储中的文件运行结构化流式处理查询时,这可以显著降低列表成本。This can significantly reduce listing costs when running a Structured Streaming query on files in Azure Blob storage. 无需使用列表来查找要处理的新文件,此流式处理源可以直接读取文件事件通知以查找新文件。Instead of using listing to find new files for processing, this streaming source can directly read file event notifications to find new files. 请参阅将优化的 Azure Blob 存储文件源与 Azure 队列存储配合使用。See Optimized Azure Blob storage file source with Azure Queue Storage.
添加了对 TensorBoard 的支持,用于监视深度学习作业。Added support for TensorBoard for monitoring deep learning jobs. 请参阅 TensorBoard。See TensorBoard.
改进Improvements
- Delta LakeDelta Lake
OPTIMIZE
性能和稳定性。OPTIMIZE
performance and stability.OPTIMIZE
命令将尽快提交批处理,而不是在结束时提交。TheOPTIMIZE
command commits batches as soon as possible, instead of at the end.- 减小
OPTIMIZE
并行运行的线程的默认数目。Reduced the default number of threadsOPTIMIZE
runs in parallel. 对于大型表,这是一种严格的性能提升。This is a strict performance increase for large tables. - 通过在写入已分区表时避免对数据进行不必要的排序,加速
OPTIMIZE
写入。Sped upOPTIMIZE
writes by avoiding an unnecessarily sorting data when writing to a partitioned table. - 通过使其递增来加速
OPTIMIZE ZORDER BY
。Sped upOPTIMIZE ZORDER BY
by making it incremental. 这意味着该命令现在可以避免重写已按相同列进行 Z 排序的数据文件。This means the command now avoids rewriting data files that were already Z-ordered by the same column(s). 请参阅 Z 排序(多维聚类)。See Z-Ordering (multi-dimensional clustering).
- 查询 Delta 表时的快照隔离。Snapshot isolation when querying Delta tables. 任何具有对 Delta 表的多个引用的查询(例如自联接)都从同一个表快照读取,即使该表存在并发更新。Any query with multiple references to a Delta table (for example, self-join) reads from the same table snapshot even if there are concurrent updates to the table.
- 通过在驱动程序上缓存元数据,改善了从小型(< 2000 文件)Delta 表中进行读取时的查询延迟。Improved query latency when reading from small (< 2000 files) Delta tables by caching metadata on the driver.
- 改进了 MLlib 逻辑回归性能。Improved MLlib logistic regression performance.
- 改进了 MLlib 树算法性能。Improved MLlib tree algorithm performance.
- 升级了几个 Java 库和 Scala 库。Upgraded several Java and Scala libraries. 请参阅已安装的 Java 库和 Scala 库(Scala 2.11 群集版本)。See Installed Java and Scala libraries (Scala 2.11 cluster version).
- 升级了一些已安装的 Python 库:Upgraded some installed Python libraries:
- pip:10.0.1 到 18.0pip: 10.0.1 to 18.0
- setuptools:39.2.0 到 40.4.1setuptools: 39.2.0 to 40.4.1
- tornado:5.0.2 到 5.1.1tornado: 5.0.2 to 5.1.1
- 升级了多个已安装的 R 库。Upgraded several installed R libraries. 请参阅已安装的 R 库。See Installed R Libraries.
Bug 修复Bug Fixes
- Delta LakeDelta Lake
- 现在,在 SQL 配置中设置的配置可以正确地应用于最初加载到其他笔记本中的 Delta Lake 操作。Configurations set in SQL conf now correctly apply to Delta Lake operations that were first loaded in a different notebook.
- 修复了
DELETE
命令中的 bug,该 bug 会错误地删除条件评估为 null 的行。Fixed a bug inDELETE
command that would incorrectly delete the rows where the condition evaluates to null. - 尝试从检查点恢复时,花费两天以上的时间来处理初始批处理的流(即,流启动时表中的数据)不再因
FileNotFoundException
而失败。Streams that take more than two days to process the initial batch (that is, data that was in the table when the stream started) no longer fail withFileNotFoundException
when attempting to recover from a checkpoint. - 避免在加载新表时会导致
NoClassDefError
的争用条件。Avoids a race condition that lead toNoClassDefError
when loading a new table. - 修复了
VACUUM
可能导致操作失败并显示 AssertionError 的问题:“这里不应该有要删除的绝对路径。”Fix forVACUUM
where the operation may fail with an AssertionError stating: “Shouldn’t have any absolute paths for deletion here.” - 修复了
SHOW CREATE TABLE
命令以不包括 Hive 生成的存储属性。FixedSHOW CREATE TABLE
command to not include Hive-generated storage properties.
- 现在会自动重启引发内部 Spark 类出现许多
NoClassDefFoundError
错误的执行程序,以解决此问题。Executors that throw manyNoClassDefFoundError
errors for internal Spark classes are now automatically restarted to fix the issue.
已知问题Known Issues
- 即使启用了不区分大小写(默认设置),在 Delta Lake 中
overwrite
模式的replaceWhere
选项中指定的列名也是区分大小写的。Column names specified in thereplaceWhere
option foroverwrite
mode in Delta Lake are case sensitive even if case insensitivity is enabled (which is the default). - Databricks Runtime 5.0 的 Snowflake 连接器处于预览版。The Snowflake connector for Databricks Runtime 5.0 is in Preview.
- 如果取消了附加到 Databricks Runtime 5.0 群集的笔记本中正在运行的流式处理单元,则无法在笔记本中运行任何后续命令,除非清除笔记本状态或重启该群集。If you cancel a running streaming cell in a notebook attached to a Databricks Runtime 5.0 cluster, you cannot run any subsequent commands in the notebook unless you clear notebook state or restart the cluster. 有关解决方法,请参阅知识库。For a workaround, see the Knowledge Base.
Apache SparkApache Spark
Databricks Runtime 5.0 包括 Apache Spark 2.4.0。Databricks Runtime 5.0 includes Apache Spark 2.4.0.
Core 和 Spark SQLCore and Spark SQL
主要功能Major features
- 屏障执行模式:[SPARK-24374] 支持计划程序中的屏障执行模式,以更好地与深度学习框架集成。Barrier Execution Mode: [SPARK-24374] Support Barrier Execution Mode in the scheduler, to better integrate with deep learning frameworks.
- Scala 2.12 支持:[SPARK-14220] 添加实验性 Scala 2.12 支持。Scala 2.12 Support: [SPARK-14220] Add experimental Scala 2.12 support. 现在,可以通过 Scala 2.12 构建 Spark,并在 Scala 2.12 中编写 Spark 应用程序。Now you can build Spark with Scala 2.12 and write Spark applications in Scala 2.12.
- 高阶函数:[SPARK-23899] 添加许多新的内置函数(包括高阶函数),以便更轻松地处理复杂数据类型。Higher-order functions: [SPARK-23899] Add many new built-in functions, including high-order functions, to make working with complex data types easier. 请参阅 Apache Spark 内置函数。See Apache Spark built-in functions.
- 内置 Avro 数据源:[SPARK-24768] 具有逻辑类型支持、更好的性能和可用性的内联 Spark-Avro 包。Built-in Avro data source: [SPARK-24768] Inline Spark-Avro package with logical type support, better performance and usability.
APIAPI
- [SPARK-24035] 透视的 SQL 语法[SPARK-24035] SQL syntax for Pivot
- [SPARK-24940] SQL 查询的联合和重新分区提示[SPARK-24940] Coalesce and Repartition Hint for SQL Queries
- [SPARK-19602] 支持全限定的列名称的列解析[SPARK-19602] Support column resolution of fully qualified column name
- [SPARK-21274] 实施 EXCEPT ALL 和 INTERSECT ALL[SPARK-21274] Implement EXCEPT ALL and INTERSECT ALL
性能和稳定性Performance and stability
- [SPARK-16406] 对大量列的引用解析应该更快[SPARK-16406] Reference resolution for large number of columns should be faster
- [SPARK-23486] 从 lookupFunctions 的外部目录缓存函数名[SPARK-23486] Cache the function name from the external catalog for lookupFunctions
- [SPARK-23803] 支持 Bucket 修剪[SPARK-23803] Support Bucket Pruning
- [SPARK-24802] 优化规则排除[SPARK-24802] Optimization Rule Exclusion
- [SPARK-4502] Parquet 表的嵌套架构修剪[SPARK-4502] Nested schema pruning for Parquet tables
- [SPARK-24296] 支持复制大于 2 GB 的块[SPARK-24296] Support replicating blocks larger than 2 GB
- [SPARK-24307] 支持从内存发送超过 2GB 的消息[SPARK-24307] Support sending messages over 2GB from memory
- [SPARK-23243] RDD 上的随机+ 重新分 区可能导致错误的答案[SPARK-23243] Shuffle+Repartition on an RDD could lead to incorrect answers
- [SPARK-25181] 限制 BlockManager 主线程池和从属线程池的大小,在网络速度较慢时降低内存开销[SPARK-25181] Limited the size of BlockManager master and slave thread pools, lowering memory overhead when networking is slow
连接器Connectors
- [SPARK-23972] 将 Parquet 从 1.8.2 更新到 1.10.0[SPARK-23972] Update Parquet from 1.8.2 to 1.10.0
- [SPARK-25419] Parquet 谓词下推改进[SPARK-25419] Parquet predicate pushdown improvement
- [SPARK-23456] 默认情况下本机 ORC 读取器为打开状态[SPARK-23456] Native ORC reader is on by default
- [SPARK-22279] 默认情况下使用本机 ORC 读取器读取 Hive serde 表[SPARK-22279] Use native ORC reader to read Hive serde tables by default
- [SPARK-21783] 默认打开 ORC 筛选器下推[SPARK-21783] Turn on ORC filter push-down by default
- [SPARK-24959] 加快 JSON 和 CSV 的 count() 速度[SPARK-24959] Speed up count() for JSON and CSV
- [SPARK-24244] 仅分析 CSV 分析程序所需的列[SPARK-24244] Parsing only required columns to the CSV parser
- [SPARK-23786] CSV 架构验证 - 不检查列名称[SPARK-23786] CSV schema validation - column names are not checked
- [SPARK-24423] 选项查询,用于指定要从 JDBC 中读取的查询[SPARK-24423] Option query for specifying the query to read from JDBC
- [SPARK-22814] 支持 JDBC 分区列中的日期/时间戳[SPARK-22814] Support Date/Timestamp in JDBC partition column
- [SPARK-24771] 将 Avro 从 1.7.7 更新到 1.8[SPARK-24771] Update Avro from 1.7.7 to 1.8
PySparkPySpark
- [SPARK-24215] 实现数据帧 API 的预先评估[SPARK-24215] Implement eager evaluation for DataFrame APIs
- [SPARK-22274] - [SPARK-22239] 用户定义的包含 pandas udf 的聚合函数[SPARK-22274] - [SPARK-22239] User-defined aggregation functions with pandas udf
- [SPARK-24396] 为 Python 添加结构化流式处理 ForeachWriter[SPARK-24396] Add Structured Streaming ForeachWriter for Python
- [SPARK-23874] 将 Apache Arrow 升级到 0.10.0[SPARK-23874] Upgrade Apache Arrow to 0.10.0
- [SPARK-25004] 添加 spark.executor.pyspark.memory 限制[SPARK-25004] Add spark.executor.pyspark.memory limit
- [SPARK-23030] 使用 Arrow 流格式以创建和收集 pandas 数据帧[SPARK-23030] Use Arrow stream format for creating from and collecting pandas DataFrames
- [SPARK-24624] 支持 Python UDF 和标量 pandas UDF 的组合[SPARK-24624] Support mixture of Python UDF and Scalar pandas UDF
其他值得注意的更改Other notable changes
- [SPARK-24596] 非级联缓存失效[SPARK-24596] Non-cascading Cache Invalidation
- [SPARK-23880] 不要触发任何用于缓存数据的作业[SPARK-23880] Do not trigger any job for caching data
- [SPARK-23510][SPARK-24312] 支持 Hive 2.2 和 Hive 2.3 元存储[SPARK-23510][SPARK-24312] Support Hive 2.2 and Hive 2.3 metastore
- [SPARK-23711] 为 UnsafeProjection 添加回退生成器[SPARK-23711] Add fallback generator for UnsafeProjection
- [SPARK-24626] Analyze Table 命令中的并行位置大小计算[SPARK-24626] Parallelize location size calculation in Analyze Table command
编程指南:Spark RDD 编程指南 和 Spark SQL 数据帧和数据集指南。Programming guides: Spark RDD Programming Guide and Spark SQL DataFrames and Datasets Guide.
结构化流式处理Structured Streaming
主要功能Major features
- [SPARK-24565] 使用 foreachBatch(Python、Scala 和 Java)以数据帧的形式公开每个微批处理的输出行[SPARK-24565] Exposed the output rows of each microbatch as a DataFrame using foreachBatch (Python, Scala, and Java)
- [SPARK-24396] 为 foreach 和 ForeachWriter 添加了 Python API[SPARK-24396] Added Python API for foreach and ForeachWriter
- [SPARK-25005] 支持“kafka.isolation.level”以仅读取使用事务生成器编写的 Kafka 主题中的已提交记录。[SPARK-25005] Support “kafka.isolation.level” to read only committed records from Kafka topics that are written using a transactional producer.
其他值得注意的更改Other notable changes
- [SPARK-24662] 支持 LIMIT 运算符用于 Append 或 Complete 模式下的流[SPARK-24662] Support the LIMIT operator for streams in Append or Complete mode
- [SPARK-24763] 从流式处理聚合的值中删除冗余的密钥数据[SPARK-24763] Remove redundant key data from value in streaming aggregation
- [SPARK-24156] 当输入流中没有数据时,使用状态操作(mapGroupsWithState、流流联接、流式处理聚合、流式处理 dropDuplicates)可以更快地生成输出结果和/或清除状态。[SPARK-24156] Faster generation of output results and/or state cleanup with stateful operations (mapGroupsWithState, stream-stream join, streaming aggregation, streaming dropDuplicates) when there is no data in the input stream.
- [SPARK-24730] 支持在查询中存在多个输入流时选择最小或最大的水印[SPARK-24730] Support for choosing either the min or max watermark when there are multiple input streams in a query
- [SPARK-25399] 修复了在重用来自连续处理的执行线程以进行微批处理流式处理可能会导致准确性问题的 bug[SPARK-25399] Fixed a bug where reusing execution threads from continuous processing for microbatch streaming can result in a correctness issue
- [SPARK-18057] 将 Kafka 客户端版本从 0.10.0.1 升级到 2.0.0[SPARK-18057] Upgraded Kafka client version from 0.10.0.1 to 2.0.0
编程指南:结构化流编程指南。Programming guide: Structured Streaming Programming Guide.
MLlibMLlib
主要功能Major features
- [SPARK-22666] 用于映像格式的 Spark 数据源[SPARK-22666] Spark datasource for image format
其他值得注意的更改Other notable changes
- [SPARK-22119][SPARK-23412][SPARK-23217] 向 KMeans/BisectingKMeans/聚类分析计算器添加余弦距离度量值[SPARK-22119][SPARK-23412][SPARK-23217] Add cosine distance measure to KMeans/BisectingKMeans/Clustering evaluator
- [SPARK-10697] 关联规则挖掘中的提升计算[SPARK-10697] Lift Calculation in Association Rule mining
- [SPARK-14682][SPARK-24231] 为 spark.ml GBT 提供 evaluateEachIteration 方法或等效方法[SPARK-14682][SPARK-24231] Provide evaluateEachIteration method or equivalent for spark.ml GBTs
- [SPARK-7132][SPARK-24333] 添加拟合并将验证设置为 spark.ml GBT[SPARK-7132][SPARK-24333] Add fit with validation set to spark.ml GBT
- [SPARK-15784][SPARK-19826] 向 spark.ml 添加 Power 迭代聚类[SPARK-15784][SPARK-19826] Add Power Iteration Clustering to spark.ml
- [SPARK-15064] StopWordsRemover 中的区域设置支持[SPARK-15064] Locale support in StopWordsRemover
- [SPARK-21741] 用于基于数据帧的多元摘要生成器的 Python API[SPARK-21741] Python API for DataFrame-based multivariate summarizer
- [SPARK-21898][SPARK-23751] MLlib 中 KolmogorovSmirnovTest 的功能奇偶一致性[SPARK-21898][SPARK-23751] Feature parity for KolmogorovSmirnovTest in MLlib
- [SPARK-10884] 支持回归和分类相关模型的单实例预测[SPARK-10884] Support prediction on single instance for regression and classification related models
- [SPARK-23783] 为 ML 管道添加新的通用导出特征[SPARK-23783] Add new generic export trait for ML pipelines
- [SPARK-11239] 用于 ML 线性回归的 PMML 导出[SPARK-11239] PMML export for ML linear regression
编程指南:机器学习库 (MLlib) 指南。Programming guide: Machine Learning Library (MLlib) Guide.
SparkRSparkR
- [SPARK-25393] 添加新函数 from_csv()[SPARK-25393] Adding new function from_csv()
- [SPARK-21291] 在数据帧中添加 R partitionBy API[SPARK-21291] add R partitionBy API in DataFrame
- [SPARK-25007] 向 SparkR 添加 array_intersect/array_except/array_union/shuffle[SPARK-25007] Add array_intersect/array_except/array_union/shuffle to SparkR
- [SPARK-25234] 避免在并行化时出现整数溢出[SPARK-25234] avoid integer overflow in parallelize
- [SPARK-25117] 在 R 中添加 EXCEPT ALL 和 INTERSECT ALL 支持[SPARK-25117] Add EXCEPT ALL and INTERSECT ALL support in R
- [SPARK-24537] 添加 array_remove / array_zip / map_from_arrays / array_distinct[SPARK-24537] Add array_remove / array_zip / map_from_arrays / array_distinct
- [SPARK-24187] 向 SparkR 添加 array_join 函数[SPARK-24187] Add array_join function to SparkR
- [SPARK-24331] 向 SparkR 添加 arrays_overlap、array_repeat、map_entries[SPARK-24331] Adding arrays_overlap, array_repeat, map_entries to SparkR
- [SPARK-24198] 向 SparkR 添加切片函数[SPARK-24198] Adding slice function to SparkR
- [SPARK-24197] 向 SparkR 添加 array_sort 函数[SPARK-24197] Adding array_sort function to SparkR
- [SPARK-24185] 向 SparkR 添加平展函数[SPARK-24185] add flatten function to SparkR
- [SPARK-24069] 添加 array_min / array_max 函数[SPARK-24069] Add array_min / array_max functions
- [SPARK-24054] 添加 array_position function / element_at 函数[SPARK-24054] Add array_position function / element_at functions
- [SPARK-23770] 在 SparkR 中添加 repartitionByRange API[SPARK-23770] Add repartitionByRange API in SparkR
编程指南:SparkR(Spark 上的 R)。Programming guide: SparkR (R on Spark).
GraphXGraphX
- [SPARK-25268] 运行并行个性化 PageRank 引发序列化异常[SPARK-25268] run Parallel Personalized PageRank throws serialization Exception
编程指南:GraphX 编程指南。Programming guide: GraphX Programming Guide.
弃用功能Deprecations
- [SPARK-23451] 弃用 KMeans computeCost[SPARK-23451] Deprecate KMeans computeCost
- [SPARK-25345] 从 ImageSchema 弃用 readImages API[SPARK-25345] Deprecate readImages APIs from ImageSchema
行为变更Changes of behavior
- [SPARK-23549] 将时间戳与日期进行比较时强制转换为时间戳[SPARK-23549] Cast to timestamp when comparing timestamp with date
- [SPARK-24324] pandas 分组的映射 UDF 应按名称分配结果列[SPARK-24324] pandas Grouped Map UDF should assign result columns by name
- [SPARK-25088] Rest 服务器默认和文档更新[SPARK-25088] Rest Server default & doc updates
- [SPARK-23425] 为使用通配符的 hdfs 文件路径加载数据未正常工作[SPARK-23425] load data for hdfs file path with wildcard usage is not working properly
- [SPARK-23173] from_json 可以为标记为不可为 null 的字段产生 null 值[SPARK-23173] from_json can produce nulls for fields which are marked as non-nullable
- [SPARK-24966] 实现设置操作的优先规则[SPARK-24966] Implement precedence rules for set operations
- [SPARK-25708] 没有 GROUP BY 的 HAVING 应为全局汇总[SPARK-25708] HAVING without GROUP BY should be global aggregate
- [SPARK-24341] 正确处理多值 IN 子查询[SPARK-24341] Correctly handle multi-value IN subquery
- [SPARK-19724] 创建具有已存在默认位置的托管表应引发异常[SPARK-19724] Create a managed table with an existed default location should throw an exception
请参阅迁移指南以了解所有行为变更。See the Migration Guide for all behavior changes.
已知问题Known Issues
- [SPARK-25793] 加载 BisectingKMeans 中的模型 bug[SPARK-25793] Loading model bug in BisectingKMeans
- [SPARK-25271] 具有 Hive parquet 表的 CTAS 应利用本机 parquet 源[SPARK-25271] CTAS with Hive parquet tables should leverage native parquet source
- [SPARK-24935] 执行 Hive UDAF 出现问题是从 Spark 2.2 开始的[SPARK-24935] Problem with Executing Hive UDAF’s from Spark 2.2 Onwards
维护更新Maintenance Updates
请参阅 Databricks Runtime 5.0 维护更新。See Databricks Runtime 5.0 maintenance updates.
系统环境System Environment
- 操作系统:Ubuntu 16.04.5 LTSOperating System: Ubuntu 16.04.5 LTS
- Java:1.8.0_162Java: 1.8.0_162
- Scala:2.11.8Scala: 2.11.8
- Python:2.7.12 适用于 Python 2 群集,3.5.2 适用于 Python 3 群集。Python: 2.7.12 for Python 2 clusters and 3.5.2 for Python 3 clusters. 有关详细信息,请参阅 Python 版本。For details, see Python version.
- R:R 版本 3.4.4 (2018-03-15)R: R version 3.4.4 (2018-03-15)
- GPU 群集:安装了以下 NVIDIA GPU 库:GPU clusters: The following NVIDIA GPU libraries are installed:
- Tesla 驱动程序 375.66Tesla driver 375.66
- CUDA 9.0CUDA 9.0
- cuDNN 7.0cuDNN 7.0
备注
尽管 Apache Spark 2.4 支持 Scala 2.12,但 Databricks Runtime 5.0 不支持。Although Scala 2.12 is supported in Apache Spark 2.4, it is not supported in Databricks Runtime 5.0.
已安装的 Python 库Installed Python Libraries
库Library | 版本Version | 库Library | 版本Version | 库Library | 版本Version |
---|---|---|---|---|---|
ansi2htmlansi2html | 1.1.11.1.1 | argparseargparse | 1.2.11.2.1 | backports-abcbackports-abc | 0.50.5 |
botoboto | 2.42.02.42.0 | boto3boto3 | 1.4.11.4.1 | botocorebotocore | 1.4.701.4.70 |
brewer2mplbrewer2mpl | 1.4.11.4.1 | certificertifi | 2016.2.282016.2.28 | cfficffi | 1.7.01.7.0 |
chardetchardet | 2.3.02.3.0 | coloramacolorama | 0.3.70.3.7 | configobjconfigobj | 5.0.65.0.6 |
密码系统cryptography | 1.51.5 | cyclercycler | 0.10.00.10.0 | CythonCython | 0.24.10.24.1 |
decoratordecorator | 4.0.104.0.10 | docutilsdocutils | 0.140.14 | enum34enum34 | 1.1.61.1.6 |
et-xmlfileet-xmlfile | 1.0.11.0.1 | freetype-pyfreetype-py | 1.0.21.0.2 | funcsigsfuncsigs | 1.0.21.0.2 |
fusepyfusepy | 2.0.42.0.4 | Futurefutures | 3.2.03.2.0 | ggplotggplot | 0.6.80.6.8 |
html5libhtml5lib | 0.9990.999 | idnaidna | 2.12.1 | ipaddressipaddress | 1.0.161.0.16 |
ipythonipython | 2.2.02.2.0 | ipython-genutilsipython-genutils | 0.1.00.1.0 | jdcaljdcal | 1.21.2 |
Jinja2Jinja2 | 2.82.8 | jmespathjmespath | 0.9.00.9.0 | llvmlitellvmlite | 0.13.00.13.0 |
lxmllxml | 3.6.43.6.4 | MarkupSafeMarkupSafe | 0.230.23 | matplotlibmatplotlib | 1.5.31.5.3 |
mpld3mpld3 | 0.20.2 | msgpack-pythonmsgpack-python | 0.4.70.4.7 | ndg-httpsclientndg-httpsclient | 0.3.30.3.3 |
numbanumba | 0.28.10.28.1 | numpynumpy | 1.11.11.11.1 | openpyxlopenpyxl | 2.3.22.3.2 |
pandaspandas | 0.19.20.19.2 | pathlib2pathlib2 | 2.1.02.1.0 | patsypatsy | 0.4.10.4.1 |
pexpectpexpect | 4.0.14.0.1 | picklesharepickleshare | 0.7.40.7.4 | PillowPillow | 3.3.13.3.1 |
pippip | 18.018.0 | plyply | 3.93.9 | prompt-toolkitprompt-toolkit | 1.0.71.0.7 |
psycopg2psycopg2 | 2.6.22.6.2 | ptyprocessptyprocess | 0.5.10.5.1 | py4jpy4j | 0.10.30.10.3 |
pyarrowpyarrow | 0.8.00.8.0 | pyasn1pyasn1 | 0.1.90.1.9 | pycparserpycparser | 2.142.14 |
PygmentsPygments | 2.1.32.1.3 | PyGObjectPyGObject | 3.20.03.20.0 | pyOpenSSLpyOpenSSL | 16.0.016.0.0 |
pyparsingpyparsing | 2.2.02.2.0 | pypngpypng | 0.0.180.0.18 | PythonPython | 2.7.122.7.12 |
python-dateutilpython-dateutil | 2.5.32.5.3 | python-geohashpython-geohash | 0.8.50.8.5 | pytzpytz | 2016.6.12016.6.1 |
请求requests | 2.11.12.11.1 | s3transfers3transfer | 0.1.90.1.9 | scikit-learnscikit-learn | 0.18.10.18.1 |
scipyscipy | 0.18.10.18.1 | scourscour | 0.320.32 | seabornseaborn | 0.7.10.7.1 |
setuptoolssetuptools | 40.4.140.4.1 | simplejsonsimplejson | 3.8.23.8.2 | simples3simples3 | 1.01.0 |
singledispatchsingledispatch | 3.4.0.33.4.0.3 | 6six | 1.10.01.10.0 | statsmodelsstatsmodels | 0.6.10.6.1 |
tornadotornado | 5.1.15.1.1 | traitletstraitlets | 4.3.04.3.0 | urllib3urllib3 | 1.19.11.19.1 |
virtualenvvirtualenv | 15.0.115.0.1 | wcwidthwcwidth | 0.1.70.1.7 | wheelwheel | 0.31.10.31.1 |
wsgirefwsgiref | 0.1.20.1.2 |
已安装的 R 库Installed R Libraries
库Library | 版本Version | 库Library | 版本Version | 库Library | 版本Version |
---|---|---|---|---|---|
abindabind | 1.4-51.4-5 | assertthatassertthat | 0.2.00.2.0 | backportsbackports | 1.1.21.1.2 |
basebase | 3.4.43.4.4 | base64encbase64enc | 0.1-30.1-3 | BHBH | 1.66.0-11.66.0-1 |
bindrbindr | 0.1.10.1.1 | bindrcppbindrcpp | 0.2.20.2.2 | bitbit | 1.1-141.1-14 |
bit64bit64 | 0.9-70.9-7 | bitopsbitops | 1.0-61.0-6 | blobblob | 1.1.11.1.1 |
bootboot | 1.3-201.3-20 | brewbrew | 1.0-61.0-6 | broombroom | 0.5.00.5.0 |
callrcallr | 3.0.03.0.0 | carcar | 3.0-23.0-2 | carDatacarData | 3.0-13.0-1 |
caretcaret | 6.0-806.0-80 | cellrangercellranger | 1.1.01.1.0 | chronchron | 2.3-522.3-52 |
classclass | 7.3-147.3-14 | clicli | 1.0.01.0.0 | clustercluster | 2.0.7-12.0.7-1 |
codetoolscodetools | 0.2-150.2-15 | colorspacecolorspace | 1.3-21.3-2 | commonmarkcommonmark | 1.51.5 |
compilercompiler | 3.4.43.4.4 | crayoncrayon | 1.3.41.3.4 | curlcurl | 3.23.2 |
CVSTCVST | 0.2-20.2-2 | data.tabledata.table | 1.11.41.11.4 | datasetsdatasets | 3.4.43.4.4 |
DBIDBI | 1.0.01.0.0 | ddalphaddalpha | 1.3.41.3.4 | DEoptimRDEoptimR | 1.0-81.0-8 |
descdesc | 1.2.01.2.0 | devtoolsdevtools | 1.13.61.13.6 | digestdigest | 0.6.160.6.16 |
dimReddimRed | 0.1.00.1.0 | doMCdoMC | 1.3.51.3.5 | dplyrdplyr | 0.7.60.7.6 |
DRRDRR | 0.0.30.0.3 | fansifansi | 0.3.00.3.0 | forcatsforcats | 0.3.00.3.0 |
foreachforeach | 1.4.41.4.4 | foreignforeign | 0.8-700.8-70 | gbmgbm | 2.1.32.1.3 |
geometrygeometry | 0.3-60.3-6 | ggplot2ggplot2 | 3.0.03.0.0 | git2rgit2r | 0.23.00.23.0 |
glmnetglmnet | 2.0-162.0-16 | glueglue | 1.3.01.3.0 | gowergower | 0.1.20.1.2 |
graphicsgraphics | 3.4.43.4.4 | grDevicesgrDevices | 3.4.43.4.4 | gridgrid | 3.4.43.4.4 |
gsubfngsubfn | 0.70.7 | gtablegtable | 0.2.00.2.0 | h2oh2o | 3.20.0.23.20.0.2 |
havenhaven | 1.1.21.1.2 | hmshms | 0.4.20.4.2 | httrhttr | 1.3.11.3.1 |
hwriterhwriter | 1.3.21.3.2 | hwriterPlushwriterPlus | 1.0-31.0-3 | ipredipred | 0.9-70.9-7 |
iteratorsiterators | 1.0.101.0.10 | jsonlitejsonlite | 1.51.5 | kernlabkernlab | 0.9-270.9-27 |
KernSmoothKernSmooth | 2.23-152.23-15 | labelinglabeling | 0.30.3 | latticelattice | 0.20-350.20-35 |
lavalava | 1.6.31.6.3 | lazyevallazyeval | 0.2.10.2.1 | littlerlittler | 0.3.40.3.4 |
lme4lme4 | 1.1-18-11.1-18-1 | lubridatelubridate | 1.7.41.7.4 | magicmagic | 1.5-81.5-8 |
magrittrmagrittr | 1.51.5 | mapprojmapproj | 1.2.61.2.6 | mapsmaps | 3.3.03.3.0 |
maptoolsmaptools | 0.9-30.9-3 | MASSMASS | 7.3-507.3-50 | 矩阵Matrix | 1.2-141.2-14 |
MatrixModelsMatrixModels | 0.4-10.4-1 | memoisememoise | 1.1.01.1.0 | methodsmethods | 3.4.43.4.4 |
mgcvmgcv | 1.8-241.8-24 | mimemime | 0.50.5 | minqaminqa | 1.2.41.2.4 |
ModelMetricsModelMetrics | 1.2.01.2.0 | munsellmunsell | 0.5.00.5.0 | mvtnormmvtnorm | 1.0-81.0-8 |
nlmenlme | 3.1-1373.1-137 | nloptrnloptr | 1.0.41.0.4 | nnetnnet | 7.3-127.3-12 |
numDerivnumDeriv | 2016.8-12016.8-1 | opensslopenssl | 1.0.21.0.2 | openxlsxopenxlsx | 4.1.04.1.0 |
parallelparallel | 3.4.43.4.4 | pbkrtestpbkrtest | 0.4-70.4-7 | pillarpillar | 1.3.01.3.0 |
pkgbuildpkgbuild | 1.0.01.0.0 | pkgconfigpkgconfig | 2.0.22.0.2 | pkgKittenpkgKitten | 0.1.40.1.4 |
pkgloadpkgload | 1.0.01.0.0 | plogrplogr | 0.2.00.2.0 | plspls | 2.7-02.7-0 |
plyrplyr | 1.8.41.8.4 | praisepraise | 1.0.01.0.0 | prettyunitsprettyunits | 1.0.21.0.2 |
pROCpROC | 1.12.11.12.1 | processxprocessx | 3.2.03.2.0 | prodlimprodlim | 2018.04.182018.04.18 |
protoproto | 1.0.01.0.0 | psps | 1.1.01.1.0 | purrrpurrr | 0.2.50.2.5 |
quantregquantreg | 5.365.36 | R.methodsS3R.methodsS3 | 1.7.11.7.1 | R.ooR.oo | 1.22.01.22.0 |
R.utilsR.utils | 2.7.02.7.0 | R6R6 | 2.2.22.2.2 | randomForestrandomForest | 4.6-144.6-14 |
RColorBrewerRColorBrewer | 1.1-21.1-2 | RcppRcpp | 0.12.180.12.18 | RcppEigenRcppEigen | 0.3.3.4.00.3.3.4.0 |
RcppRollRcppRoll | 0.3.00.3.0 | RCurlRCurl | 1.95-4.111.95-4.11 | readrreadr | 1.1.11.1.1 |
readxlreadxl | 1.1.01.1.0 | recipesrecipes | 0.1.30.1.3 | rematchrematch | 1.0.11.0.1 |
reshape2reshape2 | 1.4.31.4.3 | riorio | 0.5.100.5.10 | rlangrlang | 0.2.20.2.2 |
robustbaserobustbase | 0.93-20.93-2 | RODBCRODBC | 1.3-151.3-15 | roxygen2roxygen2 | 6.1.06.1.0 |
rpartrpart | 4.1-134.1-13 | rprojrootrprojroot | 1.3-21.3-2 | RserveRserve | 1.7-31.7-3 |
RSQLiteRSQLite | 2.1.12.1.1 | rstudioapirstudioapi | 0.70.7 | scalesscales | 1.0.01.0.0 |
sfsmiscsfsmisc | 1.1-21.1-2 | spsp | 1.3-11.3-1 | SparkRSparkR | 2.4.02.4.0 |
SparseMSparseM | 1.771.77 | spatialspatial | 7.3-117.3-11 | splinessplines | 3.4.43.4.4 |
sqldfsqldf | 0.4-110.4-11 | SQUAREMSQUAREM | 2017.10-12017.10-1 | statmodstatmod | 1.4.301.4.30 |
statsstats | 3.4.43.4.4 | stats4stats4 | 3.4.43.4.4 | stringistringi | 1.2.41.2.4 |
stringrstringr | 1.3.11.3.1 | survivalsurvival | 2.42-62.42-6 | tcltktcltk | 3.4.43.4.4 |
TeachingDemosTeachingDemos | 2.102.10 | testthattestthat | 2.0.02.0.0 | tibbletibble | 1.4.21.4.2 |
tidyrtidyr | 0.8.10.8.1 | tidyselecttidyselect | 0.2.40.2.4 | timeDatetimeDate | 3043.1023043.102 |
toolstools | 3.4.43.4.4 | utf8utf8 | 1.1.41.1.4 | utilsutils | 3.4.43.4.4 |
viridisLiteviridisLite | 0.3.00.3.0 | whiskerwhisker | 0.3-20.3-2 | withrwithr | 2.1.22.1.2 |
xml2xml2 | 1.2.01.2.0 | zipzip | 1.0.01.0.0 |
已安装的 Java 库和 Scala 库(Scala 2.11 群集版本) Installed Java and Scala libraries (Scala 2.11 cluster version)
组 IDGroup ID | 项目 IDArtifact ID | 版本Version |
---|---|---|
antlrantlr | antlrantlr | 2.7.72.7.7 |
com.amazonawscom.amazonaws | amazon-kinesis-clientamazon-kinesis-client | 1.8.101.8.10 |
com.amazonawscom.amazonaws | aws-java-sdk-autoscalingaws-java-sdk-autoscaling | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudformationaws-java-sdk-cloudformation | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudfrontaws-java-sdk-cloudfront | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudhsmaws-java-sdk-cloudhsm | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudsearchaws-java-sdk-cloudsearch | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudtrailaws-java-sdk-cloudtrail | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudwatchaws-java-sdk-cloudwatch | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cloudwatchmetricsaws-java-sdk-cloudwatchmetrics | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-codedeployaws-java-sdk-codedeploy | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cognitoidentityaws-java-sdk-cognitoidentity | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-cognitosyncaws-java-sdk-cognitosync | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-configaws-java-sdk-config | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-coreaws-java-sdk-core | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-datapipelineaws-java-sdk-datapipeline | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-directconnectaws-java-sdk-directconnect | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-directoryaws-java-sdk-directory | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-dynamodbaws-java-sdk-dynamodb | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-ec2aws-java-sdk-ec2 | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-ecsaws-java-sdk-ecs | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-efsaws-java-sdk-efs | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-elasticacheaws-java-sdk-elasticache | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-elasticbeanstalkaws-java-sdk-elasticbeanstalk | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-elasticloadbalancingaws-java-sdk-elasticloadbalancing | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-elastictranscoderaws-java-sdk-elastictranscoder | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-emraws-java-sdk-emr | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-glacieraws-java-sdk-glacier | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-iamaws-java-sdk-iam | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-importexportaws-java-sdk-importexport | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-kinesisaws-java-sdk-kinesis | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-kmsaws-java-sdk-kms | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-lambdaaws-java-sdk-lambda | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-logsaws-java-sdk-logs | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-machinelearningaws-java-sdk-machinelearning | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-opsworksaws-java-sdk-opsworks | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-rdsaws-java-sdk-rds | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-redshiftaws-java-sdk-redshift | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-route53aws-java-sdk-route53 | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-s3aws-java-sdk-s3 | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-sesaws-java-sdk-ses | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-simpledbaws-java-sdk-simpledb | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-simpleworkflowaws-java-sdk-simpleworkflow | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-snsaws-java-sdk-sns | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-sqsaws-java-sdk-sqs | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-ssmaws-java-sdk-ssm | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-storagegatewayaws-java-sdk-storagegateway | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-stsaws-java-sdk-sts | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-supportaws-java-sdk-support | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | aws-java-sdk-swf-librariesaws-java-sdk-swf-libraries | 1.11.221.11.22 |
com.amazonawscom.amazonaws | aws-java-sdk-workspacesaws-java-sdk-workspaces | 1.11.3131.11.313 |
com.amazonawscom.amazonaws | jmespath-javajmespath-java | 1.11.3131.11.313 |
com.carrotsearchcom.carrotsearch | hppchppc | 0.7.20.7.2 |
com.chuusaicom.chuusai | shapeless_2.11shapeless_2.11 | 2.3.22.3.2 |
com.clearspring.analyticscom.clearspring.analytics | 流 (stream)stream | 2.7.02.7.0 |
com.databrickscom.databricks | RserveRserve | 1.8-31.8-3 |
com.databrickscom.databricks | dbml-local_2.11dbml-local_2.11 | 0.5.0-db7-spark2.40.5.0-db7-spark2.4 |
com.databrickscom.databricks | dbml-local_2.11-testsdbml-local_2.11-tests | 0.5.0-db7-spark2.40.5.0-db7-spark2.4 |
com.databrickscom.databricks | jets3tjets3t | 0.7.1-00.7.1-0 |
com.databricks.scalapbcom.databricks.scalapb | compilerplugin_2.11compilerplugin_2.11 | 0.4.15-90.4.15-9 |
com.databricks.scalapbcom.databricks.scalapb | scalapb-runtime_2.11scalapb-runtime_2.11 | 0.4.15-90.4.15-9 |
com.esotericsoftwarecom.esotericsoftware | kryo-shadedkryo-shaded | 4.0.24.0.2 |
com.esotericsoftwarecom.esotericsoftware | minlogminlog | 1.3.01.3.0 |
com.fasterxmlcom.fasterxml | classmateclassmate | 1.0.01.0.0 |
com.fasterxml.jackson.corecom.fasterxml.jackson.core | jackson-annotationsjackson-annotations | 2.6.72.6.7 |
com.fasterxml.jackson.corecom.fasterxml.jackson.core | jackson-corejackson-core | 2.6.72.6.7 |
com.fasterxml.jackson.corecom.fasterxml.jackson.core | jackson-databindjackson-databind | 2.6.7.12.6.7.1 |
com.fasterxml.jackson.dataformatcom.fasterxml.jackson.dataformat | jackson-dataformat-cborjackson-dataformat-cbor | 2.6.72.6.7 |
com.fasterxml.jackson.datatypecom.fasterxml.jackson.datatype | jackson-datatype-jodajackson-datatype-joda | 2.6.72.6.7 |
com.fasterxml.jackson.modulecom.fasterxml.jackson.module | jackson-module-paranamerjackson-module-paranamer | 2.6.72.6.7 |
com.fasterxml.jackson.modulecom.fasterxml.jackson.module | jackson-module-scala_2.11jackson-module-scala_2.11 | 2.6.7.12.6.7.1 |
com.github.fommilcom.github.fommil | jniloaderjniloader | 1.11.1 |
com.github.fommil.netlibcom.github.fommil.netlib | corecore | 1.1.21.1.2 |
com.github.fommil.netlibcom.github.fommil.netlib | native_ref-javanative_ref-java | 1.11.1 |
com.github.fommil.netlibcom.github.fommil.netlib | native_ref-java-nativesnative_ref-java-natives | 1.11.1 |
com.github.fommil.netlibcom.github.fommil.netlib | native_system-javanative_system-java | 1.11.1 |
com.github.fommil.netlibcom.github.fommil.netlib | native_system-java-nativesnative_system-java-natives | 1.11.1 |
com.github.fommil.netlibcom.github.fommil.netlib | netlib-native_ref-linux-x86_64-nativesnetlib-native_ref-linux-x86_64-natives | 1.11.1 |
com.github.fommil.netlibcom.github.fommil.netlib | netlib-native_system-linux-x86_64-nativesnetlib-native_system-linux-x86_64-natives | 1.11.1 |
com.github.lubencom.github.luben | zstd-jnizstd-jni | 1.3.2-21.3.2-2 |
com.github.rwlcom.github.rwl | jtransformsjtransforms | 2.4.02.4.0 |
com.google.code.findbugscom.google.code.findbugs | jsr305jsr305 | 2.0.12.0.1 |
com.google.code.gsoncom.google.code.gson | gsongson | 2.2.42.2.4 |
com.google.guavacom.google.guava | guavaguava | 15.015.0 |
com.google.protobufcom.google.protobuf | protobuf-javaprotobuf-java | 2.6.12.6.1 |
com.googlecode.javaewahcom.googlecode.javaewah | JavaEWAHJavaEWAH | 0.3.20.3.2 |
com.h2databasecom.h2database | h2h2 | 1.3.1741.3.174 |
com.jcraftcom.jcraft | jschjsch | 0.1.500.1.50 |
com.jolboxcom.jolbox | bonecpbonecp | 0.8.0.RELEASE0.8.0.RELEASE |
com.mchangecom.mchange | c3p0c3p0 | 0.9.5.10.9.5.1 |
com.mchangecom.mchange | mchange-commons-javamchange-commons-java | 0.2.100.2.10 |
com.microsoft.azurecom.microsoft.azure | azure-data-lake-store-sdkazure-data-lake-store-sdk | 2.2.82.2.8 |
com.microsoft.sqlservercom.microsoft.sqlserver | mssql-jdbcmssql-jdbc | 6.2.2.jre86.2.2.jre8 |
com.ningcom.ning | compress-lzfcompress-lzf | 1.0.31.0.3 |
com.sun.mailcom.sun.mail | javax.mailjavax.mail | 1.5.21.5.2 |
com.thoughtworks.paranamercom.thoughtworks.paranamer | paranamerparanamer | 2.82.8 |
com.trueaccord.lensescom.trueaccord.lenses | lenses_2.11lenses_2.11 | 0.30.3 |
com.twittercom.twitter | chill-javachill-java | 0.9.30.9.3 |
com.twittercom.twitter | chill_2.11chill_2.11 | 0.9.30.9.3 |
com.twittercom.twitter | parquet-hadoop-bundleparquet-hadoop-bundle | 1.6.01.6.0 |
com.twittercom.twitter | util-app_2.11util-app_2.11 | 6.23.06.23.0 |
com.twittercom.twitter | util-core_2.11util-core_2.11 | 6.23.06.23.0 |
com.twittercom.twitter | util-jvm_2.11util-jvm_2.11 | 6.23.06.23.0 |
com.typesafecom.typesafe | configconfig | 1.2.11.2.1 |
com.typesafe.scala-loggingcom.typesafe.scala-logging | scala-logging-api_2.11scala-logging-api_2.11 | 2.1.22.1.2 |
com.typesafe.scala-loggingcom.typesafe.scala-logging | scala-logging-slf4j_2.11scala-logging-slf4j_2.11 | 2.1.22.1.2 |
com.univocitycom.univocity | univocity-parsersunivocity-parsers | 2.7.32.7.3 |
com.vlkancom.vlkan | flatbuffersflatbuffers | 1.2.0-3f79e0551.2.0-3f79e055 |
com.zaxxercom.zaxxer | HikariCPHikariCP | 3.1.03.1.0 |
commons-beanutilscommons-beanutils | commons-beanutilscommons-beanutils | 1.7.01.7.0 |
commons-beanutilscommons-beanutils | commons-beanutils-corecommons-beanutils-core | 1.8.01.8.0 |
commons-clicommons-cli | commons-clicommons-cli | 1.21.2 |
commons-codeccommons-codec | commons-codeccommons-codec | 1.101.10 |
commons-collectionscommons-collections | commons-collectionscommons-collections | 3.2.23.2.2 |
commons-configurationcommons-configuration | commons-configurationcommons-configuration | 1.61.6 |
commons-dbcpcommons-dbcp | commons-dbcpcommons-dbcp | 1.41.4 |
commons-digestercommons-digester | commons-digestercommons-digester | 1.81.8 |
commons-httpclientcommons-httpclient | commons-httpclientcommons-httpclient | 3.13.1 |
commons-iocommons-io | commons-iocommons-io | 2.42.4 |
commons-langcommons-lang | commons-langcommons-lang | 2.62.6 |
commons-loggingcommons-logging | commons-loggingcommons-logging | 1.1.31.1.3 |
commons-netcommons-net | commons-netcommons-net | 3.13.1 |
commons-poolcommons-pool | commons-poolcommons-pool | 1.5.41.5.4 |
info.ganglia.gmetric4jinfo.ganglia.gmetric4j | gmetric4jgmetric4j | 1.0.71.0.7 |
io.airliftio.airlift | aircompressoraircompressor | 0.100.10 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-coremetrics-core | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-gangliametrics-ganglia | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-graphitemetrics-graphite | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-healthchecksmetrics-healthchecks | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-jetty9metrics-jetty9 | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-jsonmetrics-json | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-jvmmetrics-jvm | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-log4jmetrics-log4j | 3.1.53.1.5 |
io.dropwizard.metricsio.dropwizard.metrics | metrics-servletsmetrics-servlets | 3.1.53.1.5 |
io.nettyio.netty | nettynetty | 3.9.9.Final3.9.9.Final |
io.nettyio.netty | netty-allnetty-all | 4.1.17.Final4.1.17.Final |
io.prometheusio.prometheus | simpleclientsimpleclient | 0.0.160.0.16 |
io.prometheusio.prometheus | simpleclient_commonsimpleclient_common | 0.0.160.0.16 |
io.prometheusio.prometheus | simpleclient_dropwizardsimpleclient_dropwizard | 0.0.160.0.16 |
io.prometheusio.prometheus | simpleclient_servletsimpleclient_servlet | 0.0.160.0.16 |
io.prometheus.jmxio.prometheus.jmx | 收集器collector | 0.70.7 |
javax.activationjavax.activation | activationactivation | 1.1.11.1.1 |
javax.annotationjavax.annotation | javax.annotation-apijavax.annotation-api | 1.21.2 |
javax.eljavax.el | javax.el-apijavax.el-api | 2.2.42.2.4 |
javax.jdojavax.jdo | jdo-apijdo-api | 3.0.13.0.1 |
javax.servletjavax.servlet | javax.servlet-apijavax.servlet-api | 3.1.03.1.0 |
javax.servlet.jspjavax.servlet.jsp | jsp-apijsp-api | 2.12.1 |
javax.transactionjavax.transaction | jtajta | 1.11.1 |
javax.validationjavax.validation | validation-apivalidation-api | 1.1.0.Final1.1.0.Final |
javax.ws.rsjavax.ws.rs | javax.ws.rs-apijavax.ws.rs-api | 2.0.12.0.1 |
javax.xml.bindjavax.xml.bind | jaxb-apijaxb-api | 2.2.22.2.2 |
javax.xml.streamjavax.xml.stream | stax-apistax-api | 1.0-21.0-2 |
javolutionjavolution | javolutionjavolution | 5.5.15.5.1 |
jlinejline | jlinejline | 2.112.11 |
joda-timejoda-time | joda-timejoda-time | 2.9.32.9.3 |
log4jlog4j | apache-log4j-extrasapache-log4j-extras | 1.2.171.2.17 |
log4jlog4j | log4jlog4j | 1.2.171.2.17 |
net.hydromaticnet.hydromatic | eigenbase-propertieseigenbase-properties | 1.1.51.1.5 |
net.razorvinenet.razorvine | pyrolitepyrolite | 4.134.13 |
net.sf.jpamnet.sf.jpam | jpamjpam | 1.11.1 |
net.sf.opencsvnet.sf.opencsv | opencsvopencsv | 2.32.3 |
net.sf.supercsvnet.sf.supercsv | super-csvsuper-csv | 2.2.02.2.0 |
net.snowflakenet.snowflake | snowflake-jdbcsnowflake-jdbc | 3.6.33.6.3 |
net.snowflakenet.snowflake | spark-snowflake_2.11spark-snowflake_2.11 | 2.4.12.4.1 |
net.sourceforge.f2jnet.sourceforge.f2j | arpack_combined_allarpack_combined_all | 0.10.1 |
org.acpltorg.acplt | oncrpconcrpc | 1.0.71.0.7 |
org.antlrorg.antlr | ST4ST4 | 4.0.44.0.4 |
org.antlrorg.antlr | antlr-runtimeantlr-runtime | 3.43.4 |
org.antlrorg.antlr | antlr4-runtimeantlr4-runtime | 4.74.7 |
org.antlrorg.antlr | stringtemplatestringtemplate | 3.2.13.2.1 |
org.apache.antorg.apache.ant | antant | 1.9.21.9.2 |
org.apache.antorg.apache.ant | ant-jschant-jsch | 1.9.21.9.2 |
org.apache.antorg.apache.ant | ant-launcherant-launcher | 1.9.21.9.2 |
org.apache.arroworg.apache.arrow | arrow-formatarrow-format | 0.10.00.10.0 |
org.apache.arroworg.apache.arrow | arrow-memoryarrow-memory | 0.10.00.10.0 |
org.apache.arroworg.apache.arrow | arrow-vectorarrow-vector | 0.10.00.10.0 |
org.apache.avroorg.apache.avro | avroavro | 1.8.21.8.2 |
org.apache.avroorg.apache.avro | avro-ipcavro-ipc | 1.8.21.8.2 |
org.apache.avroorg.apache.avro | avro-mapred-hadoop2avro-mapred-hadoop2 | 1.8.21.8.2 |
org.apache.calciteorg.apache.calcite | calcite-avaticacalcite-avatica | 1.2.0-incubating1.2.0-incubating |
org.apache.calciteorg.apache.calcite | calcite-corecalcite-core | 1.2.0-incubating1.2.0-incubating |
org.apache.calciteorg.apache.calcite | calcite-linq4jcalcite-linq4j | 1.2.0-incubating1.2.0-incubating |
org.apache.commonsorg.apache.commons | commons-compresscommons-compress | 1.8.11.8.1 |
org.apache.commonsorg.apache.commons | commons-cryptocommons-crypto | 1.0.01.0.0 |
org.apache.commonsorg.apache.commons | commons-lang3commons-lang3 | 3.53.5 |
org.apache.commonsorg.apache.commons | commons-math3commons-math3 | 3.4.13.4.1 |
org.apache.curatororg.apache.curator | curator-clientcurator-client | 2.7.12.7.1 |
org.apache.curatororg.apache.curator | curator-frameworkcurator-framework | 2.7.12.7.1 |
org.apache.curatororg.apache.curator | curator-recipescurator-recipes | 2.7.12.7.1 |
org.apache.derbyorg.apache.derby | derbyderby | 10.12.1.110.12.1.1 |
org.apache.directory.apiorg.apache.directory.api | api-asn1-apiapi-asn1-api | 1.0.0-M201.0.0-M20 |
org.apache.directory.apiorg.apache.directory.api | api-utilapi-util | 1.0.0-M201.0.0-M20 |
org.apache.directory.serverorg.apache.directory.server | apacheds-i18napacheds-i18n | 2.0.0-M152.0.0-M15 |
org.apache.directory.serverorg.apache.directory.server | apacheds-kerberos-codecapacheds-kerberos-codec | 2.0.0-M152.0.0-M15 |
org.apache.hadooporg.apache.hadoop | hadoop-annotationshadoop-annotations | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-authhadoop-auth | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-clienthadoop-client | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-commonhadoop-common | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-hdfshadoop-hdfs | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-mapreduce-client-apphadoop-mapreduce-client-app | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-mapreduce-client-commonhadoop-mapreduce-client-common | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-mapreduce-client-corehadoop-mapreduce-client-core | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-mapreduce-client-jobclienthadoop-mapreduce-client-jobclient | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-mapreduce-client-shufflehadoop-mapreduce-client-shuffle | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-yarn-apihadoop-yarn-api | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-yarn-clienthadoop-yarn-client | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-yarn-commonhadoop-yarn-common | 2.7.32.7.3 |
org.apache.hadooporg.apache.hadoop | hadoop-yarn-server-commonhadoop-yarn-server-common | 2.7.32.7.3 |
org.apache.htraceorg.apache.htrace | htrace-corehtrace-core | 3.1.0-incubating3.1.0-incubating |
org.apache.httpcomponentsorg.apache.httpcomponents | httpclienthttpclient | 4.5.44.5.4 |
org.apache.httpcomponentsorg.apache.httpcomponents | httpcorehttpcore | 4.4.84.4.8 |
org.apache.ivyorg.apache.ivy | ivyivy | 2.4.02.4.0 |
org.apache.orcorg.apache.orc | orc-core-nohiveorc-core-nohive | 1.5.21.5.2 |
org.apache.orcorg.apache.orc | orc-mapreduce-nohiveorc-mapreduce-nohive | 1.5.21.5.2 |
org.apache.orcorg.apache.orc | orc-shimsorc-shims | 1.5.21.5.2 |
org.apache.parquetorg.apache.parquet | parquet-columnparquet-column | 1.10.1-databricks21.10.1-databricks2 |
org.apache.parquetorg.apache.parquet | parquet-commonparquet-common | 1.10.1-databricks21.10.1-databricks2 |
org.apache.parquetorg.apache.parquet | parquet-encodingparquet-encoding | 1.10.1-databricks21.10.1-databricks2 |
org.apache.parquetorg.apache.parquet | parquet-formatparquet-format | 2.4.02.4.0 |
org.apache.parquetorg.apache.parquet | parquet-hadoopparquet-hadoop | 1.10.1-databricks21.10.1-databricks2 |
org.apache.parquetorg.apache.parquet | parquet-jacksonparquet-jackson | 1.10.1-databricks21.10.1-databricks2 |
org.apache.thriftorg.apache.thrift | libfb303libfb303 | 0.9.30.9.3 |
org.apache.thriftorg.apache.thrift | libthriftlibthrift | 0.9.30.9.3 |
org.apache.xbeanorg.apache.xbean | xbean-asm6-shadedxbean-asm6-shaded | 4.84.8 |
org.apache.zookeeperorg.apache.zookeeper | zookeeperzookeeper | 3.4.63.4.6 |
org.codehaus.jacksonorg.codehaus.jackson | jackson-core-asljackson-core-asl | 1.9.131.9.13 |
org.codehaus.jacksonorg.codehaus.jackson | jackson-jaxrsjackson-jaxrs | 1.9.131.9.13 |
org.codehaus.jacksonorg.codehaus.jackson | jackson-mapper-asljackson-mapper-asl | 1.9.131.9.13 |
org.codehaus.jacksonorg.codehaus.jackson | jackson-xcjackson-xc | 1.9.131.9.13 |
org.codehaus.janinoorg.codehaus.janino | commons-compilercommons-compiler | 3.0.93.0.9 |
org.codehaus.janinoorg.codehaus.janino | janinojanino | 3.0.93.0.9 |
org.datanucleusorg.datanucleus | datanucleus-api-jdodatanucleus-api-jdo | 3.2.63.2.6 |
org.datanucleusorg.datanucleus | datanucleus-coredatanucleus-core | 3.2.103.2.10 |
org.datanucleusorg.datanucleus | datanucleus-rdbmsdatanucleus-rdbms | 3.2.93.2.9 |
org.eclipse.jettyorg.eclipse.jetty | jetty-clientjetty-client | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-continuationjetty-continuation | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-httpjetty-http | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-iojetty-io | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-jndijetty-jndi | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-plusjetty-plus | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-proxyjetty-proxy | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-securityjetty-security | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-serverjetty-server | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-servletjetty-servlet | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-servletsjetty-servlets | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-utiljetty-util | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-webappjetty-webapp | 9.3.20.v201705319.3.20.v20170531 |
org.eclipse.jettyorg.eclipse.jetty | jetty-xmljetty-xml | 9.3.20.v201705319.3.20.v20170531 |
org.fusesource.leveldbjniorg.fusesource.leveldbjni | leveldbjni-allleveldbjni-all | 1.81.8 |
org.glassfish.hk2org.glassfish.hk2 | hk2-apihk2-api | 2.4.0-b342.4.0-b34 |
org.glassfish.hk2org.glassfish.hk2 | hk2-locatorhk2-locator | 2.4.0-b342.4.0-b34 |
org.glassfish.hk2org.glassfish.hk2 | hk2-utilshk2-utils | 2.4.0-b342.4.0-b34 |
org.glassfish.hk2org.glassfish.hk2 | osgi-resource-locatorosgi-resource-locator | 1.0.11.0.1 |
org.glassfish.hk2.externalorg.glassfish.hk2.external | aopalliance-repackagedaopalliance-repackaged | 2.4.0-b342.4.0-b34 |
org.glassfish.hk2.externalorg.glassfish.hk2.external | javax.injectjavax.inject | 2.4.0-b342.4.0-b34 |
org.glassfish.jersey.bundles.repackagedorg.glassfish.jersey.bundles.repackaged | jersey-guavajersey-guava | 2.22.22.22.2 |
org.glassfish.jersey.containersorg.glassfish.jersey.containers | jersey-container-servletjersey-container-servlet | 2.22.22.22.2 |
org.glassfish.jersey.containersorg.glassfish.jersey.containers | jersey-container-servlet-corejersey-container-servlet-core | 2.22.22.22.2 |
org.glassfish.jersey.coreorg.glassfish.jersey.core | jersey-clientjersey-client | 2.22.22.22.2 |
org.glassfish.jersey.coreorg.glassfish.jersey.core | jersey-commonjersey-common | 2.22.22.22.2 |
org.glassfish.jersey.coreorg.glassfish.jersey.core | jersey-serverjersey-server | 2.22.22.22.2 |
org.glassfish.jersey.mediaorg.glassfish.jersey.media | jersey-media-jaxbjersey-media-jaxb | 2.22.22.22.2 |
org.hibernateorg.hibernate | hibernate-validatorhibernate-validator | 5.1.1.Final5.1.1.Final |
org.iq80.snappyorg.iq80.snappy | snappysnappy | 0.20.2 |
org.javassistorg.javassist | javassistjavassist | 3.18.1-GA3.18.1-GA |
org.jboss.loggingorg.jboss.logging | jboss-loggingjboss-logging | 3.1.3.GA3.1.3.GA |
org.jdbiorg.jdbi | jdbijdbi | 2.63.12.63.1 |
org.jodaorg.joda | joda-convertjoda-convert | 1.71.7 |
org.joddorg.jodd | jodd-corejodd-core | 3.5.23.5.2 |
org.json4sorg.json4s | json4s-ast_2.11json4s-ast_2.11 | 3.5.33.5.3 |
org.json4sorg.json4s | json4s-core_2.11json4s-core_2.11 | 3.5.33.5.3 |
org.json4sorg.json4s | json4s-jackson_2.11json4s-jackson_2.11 | 3.5.33.5.3 |
org.json4sorg.json4s | json4s-scalap_2.11json4s-scalap_2.11 | 3.5.33.5.3 |
org.lz4org.lz4 | lz4-javalz4-java | 1.4.01.4.0 |
org.mariadb.jdbcorg.mariadb.jdbc | mariadb-java-clientmariadb-java-client | 2.1.22.1.2 |
org.mockitoorg.mockito | mockito-allmockito-all | 1.9.51.9.5 |
org.objenesisorg.objenesis | objenesisobjenesis | 2.5.12.5.1 |
org.postgresqlorg.postgresql | postgresqlpostgresql | 42.1.442.1.4 |
org.roaringbitmaporg.roaringbitmap | RoaringBitmapRoaringBitmap | 0.5.110.5.11 |
org.rocksdborg.rocksdb | rocksdbjnirocksdbjni | 5.2.15.2.1 |
org.rosuda.REngineorg.rosuda.REngine | REngineREngine | 2.1.02.1.0 |
org.scala-langorg.scala-lang | scala-compiler_2.11scala-compiler_2.11 | 2.11.82.11.8 |
org.scala-langorg.scala-lang | scala-library_2.11scala-library_2.11 | 2.11.82.11.8 |
org.scala-langorg.scala-lang | scala-reflect_2.11scala-reflect_2.11 | 2.11.82.11.8 |
org.scala-lang.modulesorg.scala-lang.modules | scala-parser-combinators_2.11scala-parser-combinators_2.11 | 1.0.21.0.2 |
org.scala-lang.modulesorg.scala-lang.modules | scala-xml_2.11scala-xml_2.11 | 1.0.51.0.5 |
org.scala-sbtorg.scala-sbt | test-interfacetest-interface | 1.01.0 |
org.scalacheckorg.scalacheck | scalacheck_2.11scalacheck_2.11 | 1.12.51.12.5 |
org.scalacticorg.scalactic | scalactic_2.11scalactic_2.11 | 3.0.33.0.3 |
org.scalanlporg.scalanlp | breeze-macros_2.11breeze-macros_2.11 | 0.13.20.13.2 |
org.scalanlporg.scalanlp | breeze_2.11breeze_2.11 | 0.13.20.13.2 |
org.scalatestorg.scalatest | scalatest_2.11scalatest_2.11 | 3.0.33.0.3 |
org.slf4jorg.slf4j | jcl-over-slf4jjcl-over-slf4j | 1.7.161.7.16 |
org.slf4jorg.slf4j | jul-to-slf4jjul-to-slf4j | 1.7.161.7.16 |
org.slf4jorg.slf4j | slf4j-apislf4j-api | 1.7.161.7.16 |
org.slf4jorg.slf4j | slf4j-log4j12slf4j-log4j12 | 1.7.161.7.16 |
org.spark-project.hiveorg.spark-project.hive | hive-beelinehive-beeline | 1.2.1.spark21.2.1.spark2 |
org.spark-project.hiveorg.spark-project.hive | hive-clihive-cli | 1.2.1.spark21.2.1.spark2 |
org.spark-project.hiveorg.spark-project.hive | hive-exechive-exec | 1.2.1.spark21.2.1.spark2 |
org.spark-project.hiveorg.spark-project.hive | hive-jdbchive-jdbc | 1.2.1.spark21.2.1.spark2 |
org.spark-project.hiveorg.spark-project.hive | hive-metastorehive-metastore | 1.2.1.spark21.2.1.spark2 |
org.spark-project.sparkorg.spark-project.spark | unusedunused | 1.0.01.0.0 |
org.spire-mathorg.spire-math | spire-macros_2.11spire-macros_2.11 | 0.13.00.13.0 |
org.spire-mathorg.spire-math | spire_2.11spire_2.11 | 0.13.00.13.0 |
org.springframeworkorg.springframework | spring-corespring-core | 4.1.4.RELEASE4.1.4.RELEASE |
org.springframeworkorg.springframework | spring-testspring-test | 4.1.4.RELEASE4.1.4.RELEASE |
org.tukaaniorg.tukaani | xzxz | 1.51.5 |
org.typelevelorg.typelevel | machinist_2.11machinist_2.11 | 0.6.10.6.1 |
org.typelevelorg.typelevel | macro-compat_2.11macro-compat_2.11 | 1.1.11.1.1 |
org.xerialorg.xerial | sqlite-jdbcsqlite-jdbc | 3.8.11.23.8.11.2 |
org.xerial.snappyorg.xerial.snappy | snappy-javasnappy-java | 1.1.7.11.1.7.1 |
org.yamlorg.yaml | snakeyamlsnakeyaml | 1.161.16 |
orooro | orooro | 2.0.82.0.8 |
software.amazon.ionsoftware.amazon.ion | ion-javaion-java | 1.0.21.0.2 |
staxstax | stax-apistax-api | 1.0.11.0.1 |
xmlencxmlenc | xmlencxmlenc | 0.520.52 |