Databricks Runtime 4.3（不受支持）Databricks Runtime 4.3 (Unsupported)
Databricks 于 2018 年 8 月发布了此映像。Databricks released this image in August 2018.
重要
此版本已于 2019 年 4 月 9 日弃用。This release was deprecated on April 9, 2019. 有关 Databricks Runtime 弃用策略和计划的详细信息，请参阅 Databricks Runtime 支持生命周期。For more information about the Databricks Runtime deprecation policy and schedule, see Databricks runtime support lifecycle.
以下发行说明提供有关 Apache Spark 提供支持的 Databricks Runtime 4.3 的信息。The following release notes provide information about Databricks Runtime 4.3, powered by Apache Spark.
新增功能New features
- Delta LakeDelta Lake
TRUNCATE TABLE命令：删除表中的所有行。TRUNCATE TABLEcommand: Delete all rows from a table. 与 Delta 表的对应项 Spark 表不同，Delta 表不支持删除特定分区。Unlike its counterpart for Spark tables, Delta tables do not support deleting specific partitions. 另请参阅 TRUNCATE TABLE。Also see TRUNCATE TABLE.ALTER TABLE REPLACE COLUMNS命令：替换 Delta 表中的列。ALTER TABLE REPLACE COLUMNScommand: Replace columns in a Delta table. 该命令支持更改列的注释并对多个列重新排序。It supports changing the comment of a column and reordering multiple columns. 另请参阅 ALTER TABLE。Also see ALTER TABLE.FSCK REPAIR TABLE命令：从 Delta 表的事务日志中删除无法再从基础文件系统中找到的文件条目。FSCK REPAIR TABLEcommand: Remove the file entries from the transaction log of a Delta table that can no longer be found in the underlying file system. 手动删除这些文件时，可能会发生这种情况。This can happen when these files have been manually deleted. 另请参阅 FSCK REPAIR TABLE。Also see FSCK REPAIR TABLE.- 支持对过时的 Delta 表进行查询以提高交互式查询体验：在不一定需要最新结果的情况下，对 Delta 表的查询现在可以在旧版表上运行。Support for queries on stale Delta tables to improve the interactive query experience: Queries on Delta tables can now run on a stale version of the table when up to date results are not necessary. 此功能可以减少查询的延迟，尤其是通过流持续更新基础 Delta 表时。This feature reduces the latency of queries especially when underlying Delta tables are updated continuously through streams. 另请参阅提高交互式查询性能。Also see Improve interactive query performance.
- 结构化流式处理Structured Streaming
- 对Azure Synapse Analytics 连接器的可缩放流式写入支持。Scalable streaming write support for Azure Synapse Analytics Connector.
- 支持在 Python 中使用
foreachBatch()（Scala 中已可供使用）。Support forforeachBatch()in Python (already available in Scala). 有关更多详细信息，请参阅 foreach 和 foreachBatch 文档。See foreach and foreachBatch documentation for more details. - 支持在查询中存在多个输入流时选择最小或最大水印。Support for choosing either the min or max watermark when there are multiple input streams in a query. 之前始终使用最小时间戳。Previously the minimum timestamp was always used. 有关更多详细信息，请参阅多水印策略。See the multiple watermark policy for more details.
- 支持对
Append和Complete输出模式下的流使用LIMIT运算符。Support for theLIMIToperator for streams inAppendandCompleteoutput modes. 为最大程度地减少驱动程序上的 OOM 错误，在对无限制流使用display()时会自动应用LIMIT。To minimize OOM errors on the driver,LIMITis automatically applied when you usedisplay()on unbounded streams.
改进Improvements
Delta LakeDelta Lake
- 无 10000 行插入限制的
MERGE INTO命令的新可缩放实现的个人预览版。Private preview of new scalable implementation ofMERGE INTOcommand that does not have the 10000 row insert limit. 如果你想尝试此操作，请联系支持人员。Contact support if you’d like to try this out. OPTIMIZE命令的性能和可伸缩性更好，尤其是在较大的群集上。Better performance and scalability of theOPTIMIZEcommand, especially on larger clusters.- OPTIMIZE 命令现在以增量方式提交到表，这意味着，如果命令失败，重试不需要处理整个数据集。The OPTIMIZE command now commits to the table incrementally, meaning that if the command fails, a retry will not need to process the entire data set.
- 减少了使用 Delta Lake 作为流式处理源时发现新数据所需的文件系统 RPC 数。Reduced the number of file system RPCs required to discover new data when using Delta Lake as a streaming source.
- 在 Python 中添加了对
df.writeStream.table(table-name)的支持，以便从流创建 Delta 表。Added support fordf.writeStream.table(table-name)in Python to create a Delta table from a stream.
- 无 10000 行插入限制的
提高了具有多个联接、聚合或窗口的查询性能。Improved performance for queries with multiple joins, aggregations, or windows.
提高了具有广播哈希联接的查询中分区级别修剪的效率。Improved efficiency for partition-level pruning in queries with broadcast hash joins.
改进了整个阶段的代码生成，以便检测重复的表达式、减少生成的代码量并提高特定表达式类型的性能。Improvements to whole stage code generation to detect duplicate expressions, reduce the amount of code generated, and improve performance for certain expression types.
高并发群集现在支持在笔记本中运行
%fs。High concurrency clusters now support running%fsin notebooks.已将 PySpark 使用的 Py4J 升级到 0.10.7。Upgraded Py4J used by PySpark to 0.10.7.
提高了 Azure Ls 系列实例上 Delta 缓存的性能。Improved performance of the Delta cache on Azure Ls series instances. 缓存在这些实例上默认为启用状态，加快了重复读取 Parquet 文件的工作负载。The cache is now enabled by default on these instances, accelerating workloads that repeatedly read Parquet files.
已弃用的功能Deprecated features
- Databricks Delta 之外的数据跳过功能已弃用。Data Skipping outside of Databricks Delta is deprecated. 增强版的数据跳过功能将继续作为 Delta Lake 的一部分提供。An enhanced version of data skipping will continue to be available as part of Delta Lake. 建议切换到使用 Delta Lake 以继续利用此功能。We recommend that you switch to using Delta Lake to continue to take advantage of this feature. 有关详细信息，请参阅 Databricks Delta 数据跳过。See Databricks Delta Data Skipping for details.
Bug 修复Bug fixes
修复了以下问题：当 ON 条件的谓词仅引用目标表时，Delta 的谓词下推
MERGE INTO语句不正确。Fixed incorrect predicate pushdownMERGE INTOstatement for Delta when the ON condition had predicates that referenced only the target table.修复了
mapGroupsWithState和flatMapGroupsWithState中的 bug，该 bug 阻止在删除状态后设置超时 (SPARK-22187)。Fixed bug inmapGroupsWithStateandflatMapGroupsWithStatethat prevented setting timeouts when state has been removed (SPARK-22187).修复了阻止水印与
Trigger.Once一起正常工作的 bug (SPARK-24699)。Fixed bug the prevented watermarking to work correctly withTrigger.Once(SPARK-24699).Update 命令现在可验证 SET 子句中的列，以确保所有列实际存在，并且没有列经过多次设置。Update command now validates the columns in the SET clause to make sure all columns actually exist and no column is set more than once.
修复了可能导致目录提交死锁的潜在争用条件。Fixed a potential race condition that could cause deadlocks for directory commit.
修复了导致刷新装载时使用已弃用 DBFS 客户端版本的 bug。Fixed a bug causing a deprecated version of the DBFS client to be used when refreshing mounts.
已知问题Known issues
- 表的 Delta Lake 配置选项仅在加载表的第一个笔记本中生效。Delta Lake configuration options for a table take effect only in the first notebook that loads the table.
Apache SparkApache Spark
Databricks Runtime 4.3 包括 Apache Spark 2.3.1。Databricks Runtime 4.3 includes Apache Spark 2.3.1. 此版本包括 Databricks Runtime 4.2 中包含的所有修复和改进，以及对 Spark 进行的以下其他 bug 修复和改进：This release includes all fixes and improvements included in Databricks Runtime 4.2, as well as the following additional bug fixes and improvements made to Spark:
- [SPARK-24934][SQL] 在内存中分区修剪的上限/下限中将支持的类型显式加入允许列表[SPARK-24934][SQL] Explicitly whitelist supported types in upper/lower bounds for in-memory partition pruning
- 当在针对缓存数据的查询筛选器中使用复杂数据类型时，Spark 始终返回一个空结果集。When complex data types are used in query filters against cached data, Spark always returns an empty result set. 基于内存中统计信息的修剪生成了错误结果，原因是复杂类型的上限/下限设置为 null。The in-memory stats-based pruning generates incorrect results, because null is set for upper/lower bounds for complex types. 解决方法是不对复杂类型使用基于内存中统计信息的修剪。The fix is to not use in-memory stats-based pruning for complex types.
- [SPARK-24957][SQL] 后跟聚合的带小数的平均值返回了错误结果[SPARK-24957][SQL] Average with decimal followed by aggregation returns wrong result
- 可能会返回错误的 AVERAGE 结果。The incorrect results of AVERAGE might be returned. 如果 Divide 的结果类型与强制转换的类型相同，则会跳过在 Average 运算符中添加的 CAST。The CAST added in the Average operator will be bypassed if the result of Divide is the same type which it is casted to.
- [SPARK-24867][SQL] 将 AnalysisBarrier 添加到 DataFrameWriter[SPARK-24867][SQL] Add AnalysisBarrier to DataFrameWriter
- 使用 DataFrameWriter 编写具有 UDF 的数据帧时，不使用 SQL 缓存。SQL cache is not being used when using DataFrameWriter to write a DataFrame with UDF. 这是我们在 AnalysisBarrier 中所做的更改导致的回归，因为并非所有分析器规则都是幂等的。This is a regression caused by the changes we made in AnalysisBarrier, since not all the Analyzer rules are idempotent.
- [SPARK-24790][SQL] 允许在透视中使用复杂聚合表达式[SPARK-24790][SQL] Allow complex aggregate expressions in Pivot
- 放宽检查以允许使用复杂聚合表达式（如 ceil(sum(col1)) 或 sum(col1) + 1），这大致意味着，除了 pandas UDF 之外，任何聚合表达式都可能出现在聚合计划中。Relax the check to allow complex aggregate expressions, like ceil(sum(col1)) or sum(col1) + 1, which roughly means any aggregate expression that could appear in an Aggregate plan except pandas UDF.
- [SPARK-24870][SQL] 如果 SQL 中存在大小写字母，缓存无法正常工作[SPARK-24870][SQL] Cache can’t work normally if there are case letters in SQL
- 修复了计划标准化问题。Fixes a plan canonicalization issue.
- [SPARK-24852]使 spark.ml 训练使用更新的检测 API。[SPARK-24852]Have spark.ml training use updated Instrumentation APIs.
- [SPARK-24891][SQL] 修复 HandleNullInputsForUDF 规则[SPARK-24891][SQL] Fix HandleNullInputsForUDF rule
- 使 HandleNullInputsForUDF 规则幂等，以免在多次分析计划时缓存管理器中出现计划不匹配的情况。Make HandleNullInputsForUDF rule idempotent, to avoid plan mismatch in cache manager when a plan is analyzed more than once.
- [SPARK-24878][SQL] 针对包含 null 的基元类型的数组类型修复 reverse 函数。[SPARK-24878][SQL] Fix reverse function for array type of primitive type containing null.
- [SPARK-24871][SQL] 重构 Concat 和 MapConcat，以免为每行创建 concatenator 对象。[SPARK-24871][SQL] Refactor Concat and MapConcat to avoid creating concatenator object for each row.
- [SPARK-24802][SQL] 为优化规则排除添加新配置[SPARK-24802][SQL] Add a new config for Optimization Rule Exclusion
- 向用户提供配置以排除某些优化器规则。Provides a config to users to exclude some optimizer rules.
- [SPARK-24879][SQL] 修复 Hive 分区修剪筛选器下推中的 NPE[SPARK-24879][SQL] Fix NPE in Hive partition pruning filter pushdown
- 如果分区谓词类似于 col IN (1, null)，则会引发 NPE。When the partition predicate is something like col IN (1, null), an NPE will be thrown. 此修补程序修复了此问题。This patch fixes it.
- [SPARK-23731][SQL] 使 FileSourceScanExec 在（反）序列化后可规范化[SPARK-23731][SQL] Make FileSourceScanExec canonicalizable after being (de)serialized
- [SPARK-24755][CORE] 执行器丢失可能导致任务无法重新提交[SPARK-24755][CORE] Executor loss can cause task to not be resubmitted
- 修复了 Spark 可能因执行器丢失而无法重新提交任务的 bug。Fixes a bug that Spark may not resubmit tasks failed by executor loss. 此 bug 是在 Spark 2.3 中引入的。This bug was introduced in Spark 2.3.
- [SPARK-24677][CORE] 避免 MedianHeap 中出现 NoSuchElementException[SPARK-24677][CORE] Avoid NoSuchElementException from MedianHeap
- 修复了收集任务持续时间指标时与推理任务相关的 bug。Fixes a speculative tasks related bug when collecting task duration metrics.
- [SPARK-24868][PYTHON] 在 Python 中添加 sequence 函数[SPARK-24868][PYTHON] add sequence function in Python
- [SPARK-21811][SPARK-24012][SPARK-24737][SPARK-24165][SPARK-24734][SPARK-24840][SQL] 修复类型强制转换和为 Null 性。[SPARK-21811][SPARK-24012][SPARK-24737][SPARK-24165][SPARK-24734][SPARK-24840][SQL] Fix type coercions and nullabilities.
- [SPARK-24699][SS] 通过将更新的水印保存到提交日志，使水印与 Trigger.Once 一起工作[SPARK-24699][SS] Make watermarks work with Trigger.Once by saving updated watermark to commit log
- [SPARK-24537][R] 添加 array_remove / array_zip / map_from_arrays / array_distinct[SPARK-24537][R] Add array_remove / array_zip / map_from_arrays / array_distinct
- [SPARK-22187][SS] 更新 flatMapGroupsWithState 中保存的状态的 unsaferow 格式，以允许对已删除的状态使用超时 (4.x)[SPARK-22187][SS] Update unsaferow format for saved state in flatMapGroupsWithState to allow timeouts with deleted state (4.x)
- [SPARK-24681][SQL] 验证 Hive 元存储中的嵌套列名称[SPARK-24681][SQL] Verify nested column names in Hive metastore
- 确保 Hive 元存储中的嵌套列名称不包含“,”、“:”和“;”Make sure nested column names do not include ‘,’, ‘:’, and ‘;’ in Hive metastore
- [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
- 加快函数查找速度。To speed up function lookups.
- [SPARK-24781][SQL] 在筛选器/排序中使用来自数据集的引用可能不起作用[SPARK-24781][SQL] Using a reference from Dataset in Filter/Sort might not work
- [SPARK-24208][SQL] 修复 FlatMapGroupsInPandas 的重复属性删除[SPARK-24208][SQL] Fix attribute deduplication for FlatMapGroupsInPandas
- 修复包含 FlatMapGroupsInPandas 的数据集上因属性重复而导致的自联接故障Fix self-join failure on a dataset which contains a FlatMapGroupsInPandas because of duplicate attributes
- [SPARK-24530][PYTHON] 添加控制以通过环境变量 SPHINXPYTHON 在 Sphinx 中强制使用 Python 版本[SPARK-24530][PYTHON] Add a control to force Python version in Sphinx via environment variable, SPHINXPYTHON
- [SPARK-24250] 支持在任务内部访问 SQLConf[SPARK-24250]support accessing SQLConf inside tasks
- 触发 SQL 执行时，将所有 SQL 配置保存到作业属性中。Save all the SQL configs to job properties when an SQL execution is triggered. 在执行器端，我们从作业属性重新生成 SQLConf。At executor side we rebuild the SQLConf from job properties.
- [SPARK-23936][SQL] 实现 map_concat[SPARK-23936][SQL] Implement map_concat
- [SPARK-23914][SQL] 添加 array_union 函数[SPARK-23914][SQL] Add array_union function
- [SPARK-24732][SQL] MapTypes 之间的类型强制转换。[SPARK-24732][SQL] Type coercion between MapTypes.
- 添加了对 MapTypes 之间的类型强制转换的支持，其中键类型和值类型都兼容。Adds support for type coercion between MapTypes where both the key types and the value types are compatible. 例如，可以将类型 MapType(IntegerType, FloatType) 和 MapType(LongType, DoubleType) 强制转换为类型 MapType(LongType, DoubleType)For example, types MapType(IntegerType, FloatType) and MapType(LongType, DoubleType) can be coerced to type MapType(LongType, DoubleType)
- [SPARK-24662][SQL] [SS] 支持在结构化流中设置限制[SPARK-24662][SQL][SS] Support limit in structured streaming
- [SPARK-24730][SS] 添加策略，以便在流式处理查询具有多个水印时选择最大值作为全局水印 (branch-4.x)[SPARK-24730][SS] Add policy to choose max as global watermark when streaming query has multiple watermarks (branch-4.x)
- [SPARK-24596][SQL] 非级联缓存失效[SPARK-24596][SQL] Non-cascading Cache Invalidation
- 取消缓存或删除临时视图时，不需要以级联方式取消缓存依赖于该视图的所有计划，因为基础数据不会更改。When uncache or drop temp view, it’s unnecessary to cascadingly uncache all the plans that depend on the view, as the underlying data are not changed.
- [SPARK-23927][SQL] 添加“sequence”表达式[SPARK-23927][SQL] Add “sequence” expression
- [SPARK-24636][SQL] array_join 函数的数组类型强制转换[SPARK-24636][SQL] Type coercion of arrays for array_join function
- [SPARK-22384][SQL] 优化在 Cast 中包装属性时的分区修剪[SPARK-22384][SQL] Refine partition pruning when attribute is wrapped in Cast
- 改进分区修剪，以便能使用安全的类型强制转换（int 到 long，而不是 long 到 int）向下推送分区谓词。Improve partition pruning, able to push down partition predicates with safe type cast(int to long, not long to int).
- [SPARK-24385][SQL] 解决 EqualNullSafe 的自联接条件不明确问题[SPARK-24385][SQL] Resolve self-join condition ambiguity for EqualNullSafe
- 实现 EqualNullSafe 以解决自联接条件不明确问题。Implements EqualNullSafe for self-join condition ambiguity resolving.
- [SPARK-24696][SQL] ColumnPruning 规则无法删除额外的项目[SPARK-24696][SQL] ColumnPruning rule fails to remove extra Project
- 修复了 ColumnPruning 规则中导致优化器中出现无限循环错误的 bug。Fixes a bug in the ColumnPruning rule that caused an infinite loop error in the Optimizer.
- [SPARK-24603][SQL] 修复注释中的 findTightestCommonType 引用[SPARK-24603][SQL] Fix findTightestCommonType reference in comments
- [SPARK-24613][SQL] 采用 UDF 的缓存无法与后续的独立缓存匹配[SPARK-24613][SQL] Cache with UDF could not be matched with subsequent dependent caches
- 使用 AnalysisBarrier 包装逻辑计划以在 CacheManager 中编译执行计划，目的是避免再次分析计划。Wraps the logical plan with a AnalysisBarrier for execution plan compilation in CacheManager, in order to avoid the plan being analyzed again. 这也是 Spark 2.3 的回归。This is also a regression of Spark 2.3.
- [SPARK-24017][SQL] 将 ExternalCatalog 重构为接口[SPARK-24017][SQL] Refactor ExternalCatalog to be an interface
- [SPARK-24324][PYTHON] pandas 分组的映射 UDF 应按名称分配结果列[SPARK-24324][PYTHON] pandas Grouped Map UDF should assign result columns by name
- 如果用户使用字符串标记，则按架构名称分配结果列，否则使用位置分配。Assigns result columns by schema name if user labeled with strings, otherwise using position.
- [SPARK-23778][CORE] 避免 union 获取空 RDD 时出现不必要的随机选择[SPARK-23778][CORE] Avoid unneeded shuffle when union gets an empty RDD
- 忽略 union 方法中传入的空 RDD，以避免在所有其他 Rdd 具有相同分区时出现不必要的额外随机选择。Ignores incoming empty RDDs in the union method to avoid an unneeded extra-shuffle when all the other RDDs have the same partitioning.
- [SPARK-24552][CORE][SQL] 使用唯一 ID，而不是写入的尝试次数。[SPARK-24552][CORE][SQL] Use unique id instead of attempt number for writes.
- 向 v2 数据源传递唯一的任务尝试 ID，而不是重试次数，因为在重试阶段时会重复使用尝试次数。Passes the unique task attempt id instead of attempt number to v2 data sources because attempt number is reused when stages are retried. 这会影响数据源 V1 和 V2 API，但不会影响文件格式 API，因为 DBR 使用不同的提交协议。This affects the data source V1 and V2 APIs, but the file format APIs will not be affected because DBR using different commit protocol.
- [SPARK-24588][SS] 流式处理联接应当需要来自子代的 HashClusteredPartitioning。[SPARK-24588][SS] streaming join should require HashClusteredPartitioning from children.
- [SPARK-24589][CORE] 在输出提交协调器中正确标识任务。[SPARK-24589][CORE] Correctly identify tasks in output commit coordinator.
- 向协调器跟踪的阶段状态添加详细信息，以便只允许一个任务提交输出。Adds more information to the stage state tracked by the coordinator, so that only one task is allowed to commit the output. 此修补程序还删除了 SPARK-18113 引入的无用代码更改。This fix also removes the useless code changes introduced by SPARK-18113.
- [SPARK-23933][SQL] 添加 map_from_arrays 函数[SPARK-23933][SQL] Add map_from_arrays function
- [SPARK-24583][SQL] InsertIntoDataSourceCommand 中的架构类型错误[SPARK-24583][SQL] Wrong schema type in InsertIntoDataSourceCommand
- 创建具有 NOT NULL 约束的 Delta 表时，可以删除为 Null 性并插入 NULL 值，且无需检查冲突。When creating a Delta table with NOT NULL constraints, we could drop nullability and insert the NULL values without checking the violation.
- [SPARK-24542][SQL] UDF 系列 UDFXPathXXXX 使用户可传递经过精心设计的 XML 来访问任意文件[SPARK-24542][SQL] UDF series UDFXPathXXXX allow users to pass carefully crafted XML to access arbitrary files
- 这是社区报告的安全修补程序。This is a security patch reported from the community. UDF 系列 UDFXPathXXXX 使用户可传递精心设计的 XML 来访问任意文件。UDF series UDFXPathXXXX allow users to pass carefully crafted XML to access arbitrary files. 当用户使用外部访问控制库时，用户可能会绕过这些库并访问文件内容。When users use the external access control library, users might bypass them and access the file contents.
- [SPARK-23934][SQL] 添加 map_from_entries 函数[SPARK-23934][SQL] Adding map_from_entries function
- [SPARK-23912][SQL] 添加 array_distinct[SPARK-23912][SQL] Add array_distinct
- [SPARK-24574][SQL] array_contains、array_position、array_remove 和 element_at 函数处理列类型[SPARK-24574][SQL] array_contains, array_position, array_remove and element_at functions deal with Column type
维护更新Maintenance updates
请参阅 Databricks Runtime 4.3 维护更新。See Databricks Runtime 4.3 maintenance updates.
系统环境System environment
- 操作系统：Ubuntu 16.04.4 LTSOperating System: Ubuntu 16.04.4 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
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 | 10.0.110.0.1 | 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 | 39.2.039.2.0 | 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 | 5.0.25.0.2 | 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 | BHBH | 1.66.0-11.66.0-1 | bindrbindr | 0.1.10.1.1 |
| bindrcppbindrcpp | 0.2.20.2.2 | bitbit | 1.1-121.1-12 | 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 | 0.4.40.4.4 | carcar | 3.0-03.0-0 |
| carDatacarData | 3.0-13.0-1 | caretcaret | 6.0-796.0-79 | 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 | 1.41.4 | compilercompiler | 3.4.43.4.4 | crayoncrayon | 1.3.41.3.4 |
| curlcurl | 3.23.2 | CVSTCVST | 0.2-10.2-1 | data.tabledata.table | 1.10.4-31.10.4-3 |
| datasetsdatasets | 3.4.43.4.4 | DBIDBI | 0.80.8 | ddalphaddalpha | 1.3.1.11.3.1.1 |
| DEoptimRDEoptimR | 1.0-81.0-8 | descdesc | 1.1.11.1.1 | devtoolsdevtools | 1.13.51.13.5 |
| dichromatdichromat | 2.0-02.0-0 | digestdigest | 0.6.150.6.15 | dimReddimRed | 0.1.00.1.0 |
| doMCdoMC | 1.3.51.3.5 | dplyrdplyr | 0.7.40.7.4 | DRRDRR | 0.0.30.0.3 |
| forcatsforcats | 0.3.00.3.0 | foreachforeach | 1.4.41.4.4 | foreignforeign | 0.8-700.8-70 |
| gbmgbm | 2.1.32.1.3 | ggplot2ggplot2 | 2.2.12.2.1 | git2rgit2r | 0.21.00.21.0 |
| glmnetglmnet | 2.0-162.0-16 | glueglue | 1.2.01.2.0 | 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 | 3.16.0.23.16.0.2 |
| havenhaven | 1.1.11.1.1 | 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 | 0.9-60.9-6 |
| iteratorsiterators | 1.0.91.0.9 | jsonlitejsonlite | 1.51.5 | kernlabkernlab | 0.9-250.9-25 |
| KernSmoothKernSmooth | 2.23-152.23-15 | labelinglabeling | 0.30.3 | latticelattice | 0.20-350.20-35 |
| lavalava | 1.6.11.6.1 | lazyevallazyeval | 0.2.10.2.1 | littlerlittler | 0.3.30.3.3 |
| lme4lme4 | 1.1-171.1-17 | lubridatelubridate | 1.7.31.7.3 | magrittrmagrittr | 1.51.5 |
| mapprojmapproj | 1.2.61.2.6 | mapsmaps | 3.3.03.3.0 | maptoolsmaptools | 0.9-20.9-2 |
| 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 | mnormtmnormt | 1.5-51.5-5 |
| ModelMetricsModelMetrics | 1.1.01.1.0 | munsellmunsell | 0.4.30.4.3 | mvtnormmvtnorm | 1.0-71.0-7 |
| 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 | 1.0.11.0.1 | openxlsxopenxlsx | 4.0.174.0.17 |
| parallelparallel | 3.4.43.4.4 | pbkrtestpbkrtest | 0.4-70.4-7 | pillarpillar | 1.2.11.2.1 |
| pkgconfigpkgconfig | 2.0.12.0.1 | pkgKittenpkgKitten | 0.1.40.1.4 | plogrplogr | 0.2.00.2.0 |
| plyrplyr | 1.8.41.8.4 | praisepraise | 1.0.01.0.0 | prettyunitsprettyunits | 1.0.21.0.2 |
| pROCpROC | 1.11.01.11.0 | prodlimprodlim | 1.6.11.6.1 | protoproto | 1.0.01.0.0 |
| psychpsych | 1.8.3.31.8.3.3 | purrrpurrr | 0.2.40.2.4 | quantregquantreg | 5.355.35 |
| R.methodsS3R.methodsS3 | 1.7.11.7.1 | R.ooR.oo | 1.21.01.21.0 | R.utilsR.utils | 2.6.02.6.0 |
| R6R6 | 2.2.22.2.2 | randomForestrandomForest | 4.6-144.6-14 | RColorBrewerRColorBrewer | 1.1-21.1-2 |
| RcppRcpp | 0.12.160.12.16 | RcppEigenRcppEigen | 0.3.3.4.00.3.3.4.0 | RcppRollRcppRoll | 0.2.20.2.2 |
| RCurlRCurl | 1.95-4.101.95-4.10 | readrreadr | 1.1.11.1.1 | readxlreadxl | 1.0.01.0.0 |
| recipesrecipes | 0.1.20.1.2 | rematchrematch | 1.0.11.0.1 | reshape2reshape2 | 1.4.31.4.3 |
| riorio | 0.5.100.5.10 | rlangrlang | 0.2.00.2.0 | robustbaserobustbase | 0.92-80.92-8 |
| RODBCRODBC | 1.3-151.3-15 | roxygen2roxygen2 | 6.0.16.0.1 | rpartrpart | 4.1-134.1-13 |
| rprojrootrprojroot | 1.3-21.3-2 | RserveRserve | 1.7-31.7-3 | RSQLiteRSQLite | 2.1.02.1.0 |
| rstudioapirstudioapi | 0.70.7 | scalesscales | 0.5.00.5.0 | sfsmiscsfsmisc | 1.1-21.1-2 |
| spsp | 1.2-71.2-7 | SparkRSparkR | 2.3.12.3.1 | 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 | 1.1.71.1.7 | stringrstringr | 1.3.01.3.0 |
| survivalsurvival | 2.42-32.42-3 | tcltktcltk | 3.4.43.4.4 | TeachingDemosTeachingDemos | 2.102.10 |
| testthattestthat | 2.0.02.0.0 | tibbletibble | 1.4.21.4.2 | tidyrtidyr | 0.8.00.8.0 |
| tidyselecttidyselect | 0.2.40.2.4 | timeDatetimeDate | 3043.1023043.102 | toolstools | 3.4.43.4.4 |
| utf8utf8 | 1.1.31.1.3 | 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 |
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 | 1.7.31.7.3 |
| 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 | 0.4.1-db1-spark2.30.4.1-db1-spark2.3 |
| com.databrickscom.databricks | dbml-local_2.11-testsdbml-local_2.11-tests | 0.4.1-db1-spark2.30.4.1-db1-spark2.3 |
| 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 | 3.0.33.0.3 |
| 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.jamesmurty.utilscom.jamesmurty.utils | java-xmlbuilderjava-xmlbuilder | 1.11.1 |
| 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 | 0.8.40.8.4 |
| com.twittercom.twitter | chill_2.11chill_2.11 | 0.8.40.8.4 |
| 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 | 2.5.92.5.9 |
| 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 | 2.22.2 |
| 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 | 0.80.8 |
| 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.ihardernet.iharder | base64base64 | 2.3.82.3.8 |
| net.java.dev.jets3tnet.java.dev.jets3t | jets3tjets3t | 0.9.40.9.4 |
| 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 | 0.8.00.8.0 |
| org.apache.arroworg.apache.arrow | arrow-memoryarrow-memory | 0.8.00.8.0 |
| org.apache.arroworg.apache.arrow | arrow-vectorarrow-vector | 0.8.00.8.0 |
| org.apache.avroorg.apache.avro | avroavro | 1.7.71.7.7 |
| org.apache.avroorg.apache.avro | avro-ipcavro-ipc | 1.7.71.7.7 |
| org.apache.avroorg.apache.avro | avro-ipc-testsavro-ipc-tests | 1.7.71.7.7 |
| org.apache.avroorg.apache.avro | avro-mapred-hadoop2avro-mapred-hadoop2 | 1.7.71.7.7 |
| 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 | 1.4.11.4.1 |
| 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 | 1.4.31.4.3 |
| org.apache.orcorg.apache.orc | orc-mapreduce-nohiveorc-mapreduce-nohive | 1.4.31.4.3 |
| org.apache.parquetorg.apache.parquet | parquet-columnparquet-column | 1.8.3-databricks21.8.3-databricks2 |
| org.apache.parquetorg.apache.parquet | parquet-commonparquet-common | 1.8.3-databricks21.8.3-databricks2 |
| org.apache.parquetorg.apache.parquet | parquet-encodingparquet-encoding | 1.8.3-databricks21.8.3-databricks2 |
| org.apache.parquetorg.apache.parquet | parquet-formatparquet-format | 2.3.12.3.1 |
| org.apache.parquetorg.apache.parquet | parquet-hadoopparquet-hadoop | 1.8.3-databricks21.8.3-databricks2 |
| org.apache.parquetorg.apache.parquet | parquet-jacksonparquet-jackson | 1.8.3-databricks21.8.3-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-asm5-shadedxbean-asm5-shaded | 4.44.4 |
| org.apache.zookeeperorg.apache.zookeeper | zookeeperzookeeper | 3.4.63.4.6 |
| org.bouncycastleorg.bouncycastle | bcprov-jdk15onbcprov-jdk15on | 1.581.58 |
| 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 | 3.0.83.0.8 |
| org.codehaus.janinoorg.codehaus.janino | janinojanino | 3.0.83.0.8 |
| 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 | 3.2.113.2.11 |
| org.json4sorg.json4s | json4s-core_2.11json4s-core_2.11 | 3.2.113.2.11 |
| org.json4sorg.json4s | json4s-jackson_2.11json4s-jackson_2.11 | 3.2.113.2.11 |
| 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 | 2.12.1 |
| 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-langorg.scala-lang | scalap_2.11scalap_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.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 | 2.2.62.2.6 |
| 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 | 1.01.0 |
| 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 | 1.1.2.61.1.2.6 |
| 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 |