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Whether you're a die-hard Windows fan or simply a Mac user required to occasionally use Windows, it's hard to argue against the fact that Mac OS X has some killer features.
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- Selecting it from the Messages submenu results in zero response from the program. My Messages app is currently only capable of displaying the conversations window and then being stuck on the last selected conversation; no ability to input text, select a different conversation, or even scroll through the open one.
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Drill provides many configuration options that you can enable, disable, or modify. Modifying certain configuration options can impact performance. Many of the configuration options reside in the
drill-env.sh script and the
drill-override.conf configuration file located in the
$DRILL_HOME/conf directory. Drill loads these files from
/etc/drill/conf, if it exists. Otherwise, Drill loads the files from the
As of Drill 1.8, most of the system options listed below are set in $DRILL_HOME/conf/drill-override.conf. Settings controlled through environment variables reside in $DRILL_HOME/bin/drill-config.sh. You can create an entry in $DRILL_HOME/conf/drill-env.sh to override many of the settings in drill-config.sh.
See Configuration and Launch Script Changes in the Drill 1.8 release notes.
The sys.options table contains information about system and session options. The sys.boot table contains information about Drill start-up options. The section, “Start-up Options”, covers how to configure and view key boot options. The following table lists the system options in alphabetical order and provides a brief description of supported options.
The sys.options table lists options that you can set at the system or session level, as described in the section, “Planning and Execution Options”.
|drill.exec.allow_loopback_address_binding||FALSE||Introduced in Drill 1.14. Allows the Drillbit to bind to a loopback address in distributed mode. Enable for testing purposes only.|
|drill.exec.default_temporary_workspace||dfs.tmp||Available as of Drill 1.10. Sets the workspace for temporary tables. The workspace must be writable, file-based, and point to a location that already exists. This option requires the following format: .<workspace|
|drill.exec.http.jetty.server.acceptors||1||Available as of Drill 1.13. HTTP connector option that limits the number of worker threads dedicated to accepting connections. Limiting the number of acceptors also limits the number threads needed.|
|drill.exec.http.jetty.server.selectors||2||Available as of Drill1.13. HTTP connector option that limits the number of worker threads dedicated to sending and receiving data. Limiting the number of selectors also limits the number threads needed.|
|drill.exec.memory.operator.output_batch_size||16777216 (16 MB)||Available as of Drill 1.13. Limits the amount of memory that the Flatten, Merge Join, and External Sort operators allocate to outgoing batches.|
|drill.exec.storage.implicit.filename.column.label||filename||Available as of Drill 1.10. Sets the implicit column name for the filename column.|
|drill.exec.storage.implicit.filepath.column.label||filepath||Available as of Drill 1.10. Sets the implicit column name for the filepath column.|
|drill.exec.storage.implicit.fqn.column.label||fqn||Available as of Drill 1.10. Sets the implicit column name for the fqn column.|
|drill.exec.storage.implicit.suffix.column.label||suffix||Available as of Drill 1.10. Sets the implicit column name for the suffix column.|
|drill.exec.functions.cast_empty_string_to_null||FALSE||In a text file, treat empty fields as NULL values instead of empty string.|
|drill.exe.spill.fs||“file:///”||Introduced in Drill 1.11. The default file system on the local machine into which the Sort, Hash Aggregate, and Hash Join operators spill data.|
|drill.exec.spill.directories||[“/tmp/drill/spill”]||Introduced in Drill 1.11. The list of directories into which the Sort, Hash Aggregate, and Hash Join operators spill data. The list must be an array with directories separated by a comma, for example [“/fs1/drill/spill” , “/fs2/drill/spill” , “/fs3/drill/spill”].|
|drill.exec.storage.file.partition.column.label||dir||The column label for directory levels in results of queries of files in a directory. Accepts a string input.|
|exec.enable_union_type||FALSE||Enable support for Avro union type.|
|exec.errors.verbose||FALSE||Toggles verbose output of executable error messages|
|exec.java_compiler||DEFAULT||Switches between DEFAULT, JDK, and JANINO mode for the current session. Uses Janino by default for generated source code of less than exec.java_compiler_janino_maxsize; otherwise, switches to the JDK compiler.|
|exec.java_compiler_debug||TRUE||Toggles the output of debug-level compiler error messages in runtime generated code.|
|exec.java.compiler.exp_in_method_size||50||Introduced in Drill 1.8. For queries with complex or multiple expressions in the query logic, this option limits the number of expressions allowed in each method to prevent Drill from generating code that exceeds the Java limit of 64K bytes. If a method approaches the 64K limit, the Java compiler returns a message stating that the code is too large to compile. If queries return such a message, reduce the value of this option at the session level. The default value for this option is 50. The value is the count of expressions allowed in a method. Expressions are added to a method until they hit the Java 64K limit, when a new inner method is created and called from the existing method. Note: This logic has not been implemented for all operators. If a query uses operators for which the logic is not implemented, reducing the setting for this option may not resolve the error. Setting this option at the system level impacts all queries and can degrade query performance.|
|exec.java_compiler_janino_maxsize||262144||See the exec.java_compiler option comment. Accepts inputs of type LONG.|
|exec.max_hash_table_size||1073741824||Ending size in buckets for hash tables. Range: 0 - 1073741824.|
|exec.min_hash_table_size||65536||Starting size in bucketsfor hash tables. Increase according to available memory to improve performance. Increasing for very large aggregations or joins when you have large amounts of memory for Drill to use. Range: 0 - 1073741824.|
|exec.queue.enable||FALSE||Changes the state of query queues. False allows unlimited concurrent queries.|
|exec.queue.large||10||Sets the number of large queries that can run concurrently in the cluster. Range: 0-1000|
|exec.queue.small||100||Sets the number of small queries that can run concurrently in the cluster. Range: 0-1001|
|exec.queue.threshold||30000000||Sets the cost threshold, which depends on the complexity of the queries in queue, for determining whether query is large or small. Complex queries have higher thresholds. Range: 0-9223372036854775807|
|exec.queue.timeout_millis||300000||Indicates how long a query can wait in queue before the query fails. Range: 0-9223372036854775807|
|exec.schedule.assignment.old||FALSE||Used to prevent query failure when no work units are assigned to a minor fragment, particularly when the number of files is much larger than the number of leaf fragments.|
|exec.storage.enable_new_text_reader||TRUE||Enables the text reader that complies with the RFC 4180 standard for text/csv files.|
|new_view_default_permissions||700||Sets view permissions using an octal code in the Unix tradition.|
|planner.add_producer_consumer||FALSE||Increase prefetching of data from disk. Disable for in-memory reads.|
|planner.affinity_factor||1.2||Factor by which a node with endpoint affinity is favored while creating assignment. Accepts inputs of type DOUBLE.|
|planner.broadcast_factor||1||A heuristic parameter for influencing the broadcast of records as part of a query.|
|planner.broadcast_threshold||10000000||The maximum number of records allowed to be broadcast as part of a query. After one million records, Drill reshuffles data rather than doing a broadcast to one side of the join. Range: 0-2147483647|
|planner.disable_exchanges||FALSE||Toggles the state of hashing to a random exchange.|
|planner.enable_broadcast_join||TRUE||Changes the state of aggregation and join operators. The broadcast join can be used for hash join, merge join and nested loop join. Use to join a large (fact) table to relatively smaller (dimension) tables. Do not disable.|
|planner.enable_constant_folding||TRUE||If one side of a filter condition is a constant expression, constant folding evaluates the expression in the planning phase and replaces the expression with the constant value. For example, Drill can rewrite WHERE age + 5 < 42 as WHERE age < 37.|
|planner.enable_decimal_data_type||FALSE||False disables the DECIMAL data type, including casting to DECIMAL and reading DECIMAL types from Parquet and Hive.|
|planner.enable_demux_exchange||FALSE||Toggles the state of hashing to a demulitplexed exchange.|
|planner.enable_hash_single_key||TRUE||Each hash key is associated with a single value.|
|planner.enable_hashagg||TRUE||Enable hash aggregation; otherwise, Drill does a sort-based aggregation. Writes to disk. Enable is recommended.|
|planner.enable_hashjoin||TRUE||Enable the memory hungry hash join. Drill assumes that a query will have adequate memory to complete and tries to use the fastest operations possible to complete the planned inner, left, right, or full outer joins using a hash table. Does not write to disk. Disabling hash join allows Drill to manage arbitrarily large data in a small memory footprint.|
|planner.enable_hashjoin_swap||TRUE||Enables consideration of multiple join order sequences during the planning phase. Might negatively affect the performance of some queries due to inaccuracy of estimated row count especially after a filter, join, or aggregation.|
|planner.enable_hep_join_opt||Enables the heuristic planner for joins.|
|planner.enable_mergejoin||TRUE||Sort-based operation. A merge join is used for inner join, left and right outer joins. Inputs to the merge join must be sorted. It reads the sorted input streams from both sides and finds matching rows. Writes to disk.|
|planner.enable_multiphase_agg||TRUE||Each minor fragment does a local aggregation in phase 1, distributes on a hash basis using GROUP-BY keys partially aggregated results to other fragments, and all the fragments perform a total aggregation using this data.|
|planner.enable_mux_exchange||TRUE||Toggles the state of hashing to a multiplexed exchange.|
|planner.enable_nestedloopjoin||TRUE||Sort-based operation. Writes to disk.|
|planner.enable_nljoin_for_scalar_only||TRUE||Supports nested loop join planning where the right input is scalar in order to enable NOT-IN, Inequality, Cartesian, and uncorrelated EXISTS planning.|
|planner.enable_streamagg||TRUE||Sort-based operation. Writes to disk.|
|planner.filter.max_selectivity_estimate_factor||1||Available as of Drill 1.8. Sets the maximum filter selectivity estimate. The selectivity can vary between 0 and 1. For more details, see planner.filter.min_selectivity_estimate_factor.|
|planner.filter.min_selectivity_estimate_factor||0||Introduces in Drill 1.8. Sets the minimum filter selectivity estimate to increase the parallelization of the major fragment performing a join. This option is useful for deeply nested queries with complicated predicates and serves as a workaround when statistics are insufficient or unavailable. The selectivity can vary between 0 and 1. The value of this option caps the estimated SELECTIVITY. The estimated ROWCOUNT is derived by multiplying the estimated SELECTIVITY by the estimated ROWCOUNT of the upstream operator. The estimated ROWCOUNT displays when you use the EXPLAIN PLAN INCLUDING ALL ATTRIBUTES FOR command. This option does not control the estimated ROWCOUNT of downstream operators (post FILTER). However, estimated ROWCOUNTs may change because the operator ROWCOUNTs depend on their downstream operators. The FILTER operator relies on the input of its immediate upstream operator, for example SCAN, AGGREGATE. If two filters are present in a plan, each filter may have a different estimated ROWCOUNT based on the immediate upstream operator’s estimated ROWCOUNT.|
|planner.identifier_max_length||1024||A minimum length is needed because option names are identifiers themselves.|
|planner.join.hash_join_swap_margin_factor||10||The number of join order sequences to consider during the planning phase.|
|planner.join.row_count_estimate_factor||1||The factor for adjusting the estimated row count when considering multiple join order sequences during the planning phase.|
|planner.memory.average_field_width||8||Used in estimating memory requirements.|
|planner.memory.enable_memory_estimation||FALSE||Toggles the state of memory estimation and re-planning of the query. When enabled, Drill conservatively estimates memory requirements and typically excludes these operators from the plan and negatively impacts performance.|
|planner.memory.hash_agg_table_factor||1.1||A heuristic value for influencing the size of the hash aggregation table.|
|planner.memory.hash_join_table_factor||1.1||A heuristic value for influencing the size of the hash aggregation table.|
|planner.memory.max_query_memory_per_node||2147483648 bytes||Sets the maximum amount of direct memory allocated to the Sort and Hash Aggregate operators during each query on a node. This memory is split between operators. If a query plan contains multiple Sort and/or Hash Aggregate operators, the memory is divided between them. The default limit should be increased for queries on large data sets.|
|planner.memory.non_blocking_operators_memory||64||Extra query memory per node for non-blocking operators. This option is currently used only for memory estimation. Range: 0-2048 MB|
|planner.memory_limit||268435456 bytes||Defines the maximum amount of direct memory allocated to a query for planning. When multiple queries run concurrently, each query is allocated the amount of memory set by this parameter.Increase the value of this parameter and rerun the query if partition pruning failed due to insufficient memory.|
|planner.memory.percent_per_query||0.05||Sets the memory as a percentage of the total direct memory.|
|planner.nestedloopjoin_factor||100||A heuristic value for influencing the nested loop join.|
|planner.partitioner_sender_max_threads||8||Upper limit of threads for outbound queuing.|
|planner.partitioner_sender_set_threads||-1||Overwrites the number of threads used to send out batches of records. Set to -1 to disable. Typically not changed.|
|planner.partitioner_sender_threads_factor||2||A heuristic param to use to influence final number of threads. The higher the value the fewer the number of threads.|
|planner.producer_consumer_queue_size||10||How much data to prefetch from disk in record batches out-of-band of query execution. The larger the queue size, the greater the amount of memory that the queue and overall query execution consumes.|
|planner.slice_target||100000||The number of records manipulated within a fragment before Drill parallelizes operations.|
|planner.width.max_per_node||70% of the total number of processors on a node||Maximum number of threads that can run in parallel for a query on a node. A slice is an individual thread. This number indicates the maximum number of slices per query for the query’s major fragment on a node.|
|planner.width.max_per_query||1000||Same as max per node but applies to the query as executed by the entire cluster. For example, this value might be the number of active Drillbits, or a higher number to return results faster.|
|security.admin.user_groups||n/a||Supported as of 1.4. A comma-separated list of administrator groups for Web UI security.|
|security.admin.users||Supported as of 1.4. A comma-separated list of user names who you want to give administrator privileges.|
|store.format||parquet||Output format for data written to tables with the CREATE TABLE AS (CTAS) command. Allowed values are parquet, json, psv, csv, or tsv.|
|store.hive.parquet.optimize_scan_with_native_reader||FALSE||By default, Drill reads Hive tables using the native Hive reader. When you enable this option, Drill reads Hive tables using Drill native readers, which enables faster reads and enforces direct memory usage. Starting in Drill 1.14, this option also enables Drill to apply filter push down optimizations. Previously, this was the store.hive.optimize_scan_with_native_readers option, which is scheduled to be deprecated in Drill 1.15.|
|store.hive.conf.properties||””||Introduced in Drill 1.14. Enables you to specify Hive properties at the session level using the SET command. See Hive Storage Plugin for more information.|
|store.json.all_text_mode||FALSE||Drill reads all data from the JSON files as VARCHAR. Prevents schema change errors.|
|store.json.extended_types||FALSE||Turns on special JSON structures that Drill serializes for storing more type information than the four basic JSON types.|
|store.json.read_numbers_as_double||FALSE||Reads numbers with or without a decimal point as DOUBLE. Prevents schema change errors.|
|store.mongo.all_text_mode||FALSE||Similar to store.json.all_text_mode for MongoDB.|
|store.mongo.read_numbers_as_double||FALSE||Similar to store.json.read_numbers_as_double.|
|store.parquet.block-size||536870912||Sets the size of a Parquet row group to the number of bytes less than or equal to the block size of MFS, HDFS, or the file system.|
|store.parquet.compression||none||Compression type for storing Parquet output. Allowed values: snappy, gzip, none|
|store.parquet.enable_dictionary_encoding||FALSE||For internal use. Do not change.|
|store.parquet.reader.int96_as_timestamp||FALSE||Enables Drill to implicitly interpret the INT96 timestamp data type in Parquet files.|
|store.parquet.use_new_reader||FALSE||Not supported in this release.|
|store.partition.hash_distribute||FALSE||Uses a hash algorithm to distribute data on partition keys in a CTAS partitioning operation. An alpha option–for experimental use at this stage. Do not use in production systems.|
|store.text.estimated_row_size_bytes||100||Estimate of the row size in a delimited text file, such as csv. The closer to actual, the better the query plan. Used for all csv files in the system/session where the value is set. Impacts the decision to plan a broadcast join or not.|
|window.enable||TRUE||Enable or disable window functions in Drill 1.1 and later.|
This guide describes how to use Pair to Mac to connect Visual Studio 2019to a Mac build host. The same instructions apply to Visual Studio 2017.
Building native iOS applications requires access to Apple's build tools,which only run on a Mac. Because of this, Visual Studio 2019 must connect toa network-accessible Mac to build Xamarin.iOS applications.
Visual Studio 2019's Pair to Mac feature discovers, connects to,authenticates with, and remembers Mac build hosts so that Windows-basediOS developers can work productively.
Pair to Mac enables the following development workflow:
Developers can write Xamarin.iOS code in Visual Studio 2019.
Visual Studio 2019 opens a network connection to a Mac build host anduses the build tools on that machine to compile and sign the iOS app.
There is no need to run a separate application on the Mac – VisualStudio 2019 invokes Mac builds securely over SSH.
Visual Studio 2019 is notified of changes as soon as they happen. Forexample, when an iOS device is plugged in to the Mac or becomes availableon the network, the iOS Toolbar updates instantly.
Multiple instances of Visual Studio 2019 can connect to the Macsimultaneously.
It's possible to use the Windows command-line to build iOS applications.
Before following the instructions in this guide, complete the following steps:
- On a Windows machine, install Visual Studio 2019
- On a Mac, install Xcode and Visual Studio for Mac
- You must manually open Xcode after installing so that it can add any additional components.
If you would prefer not to install Visual Studio for Mac, Visual Studio 2019can automatically configure the Mac build host with Xamarin.iOS and Mono.You must still install and run Xcode.For more information, see Automatic Mac provisioning.
Enable remote login on the Mac
To set up the Mac build host, first enable remote login:
On the Mac, open System Preferences and go to the Sharing pane.
Check Remote Login in the Service list.
Make sure that it is configured to allow access for All users, orthat your Mac username or group is included in the list of allowedusers.
If prompted, configure the macOS firewall.
If you have set the macOS firewall to block incoming connections, youmay need to allow
mono-sgento receive incoming connections. An alertappears to prompt you if this is the case.
If it is on the same network as the Windows machine, the Mac shouldnow be discoverable by Visual Studio 2019. If the Mac is still notdiscoverable, try manually adding a Mac or takea look at the troubleshooting guide.
Connect to the Mac from Visual Studio 2019
Now that remote login is enabled, connect Visual Studio 2019 to the Mac.
In Visual Studio 2019, open an existing iOS project or create a new oneby choosing File > New > Project and then selecting an iOS projecttemplate.
Open the Pair to Mac dialog.
Use the Pair to Mac button iOS toolbar:
Or, select Tools > iOS > Pair to Mac.
The Pair to Mac dialog displays a list of all previously-connectedand currently-available Mac build hosts:
Select a Mac in the list. Click Connect.
Enter your username and password.
The first time you connect to any particular Mac, you areprompted to enter your username and password for that machine:
When logging in, use your system username rather than full name.
Pair to Mac uses these credentials to create a new SSH connectionto the Mac. If it succeeds, a key is added to the authorized_keysfile on the Mac. Subsequent connections to the same Mac will loginautomatically.
Pair to Mac automatically configures the Mac.
Starting with Visual Studio 2019 version15.6,Visual Studio 2019 installs or updates Mono and Xamarin.iOS on aconnected Mac build host as needed (note that Xcode must still beinstalled manually). See Automatic Macprovisioning for more details.
Look for the connection status icon.
When Visual Studio 2019 is connected to a Mac, that Mac's itemin the Pair to Mac dialog displays an icon indicating thatit is currently connected:
There can be only one connected Mac at a time.
Right-clicking any Mac in the Pair to Mac list brings up a contextmenu that allows you to Connect.., Forget this Mac, orDisconnect:
If you choose Forget this Mac, your credentials for the selectedMac will be forgotten. To reconnect to that Mac, you will need to re-enteryour username and password.
If you have successfully paired to a Mac build host, you are ready to buildXamarin.iOS apps in Visual Studio 2019. Take a look at theIntroduction to Xamarin.iOS for Visual Studioguide.
If you have not been able to pair a Mac, try manually adding aMac or take a look at the troubleshootingguide.
Manually add a Mac
If you do not see a particular Mac listed in the Pair to Mac dialog,add it manually:
Locate your Mac’s IP address.
Open System Preferences > Sharing > Remote Login on your Mac:
Alternatively, use the command line. In Terminal, issue this command:
Depending on your network configuration, you may need to use aninterface name other than
en0. For example:
In Visual Studio 2019's Pair to Mac dialog, select Add Mac..:
Enter the Mac's IP address and click Add:
Enter your username and password for the Mac:
When logging in, use your system username rather than full name.
Click Login to connect Visual Studio 2019 to the Mac over SSH and addit to the list of known machines.
Automatic Mac provisioning
Starting with Visual Studio 2019 version 15.6,Pair to Mac automatically provisions a Mac with software necessary forbuilding Xamarin.iOS applications: Mono, Xamarin.iOS (the softwareframework, not the Visual Studio for Mac IDE), and various Xcode-relatedtools (but not Xcode itself).
- Pair to Mac cannot install Xcode; you must manually install it on theMac build host. It is required for Xamarin.iOS development.
- Automatic Mac provisioning requires that remote login isenabled on the Mac, and the Mac must be network-accessible to the Windowsmachine. See Enabling remote login on the Macfor more details.
- Automatic Mac provisioning requires 3GB of free space on the Mac to install Xamarin.iOS.
Pair to Mac performs necessary software installations/updates when VisualStudio 2019 is connecting to theMac.
Pair to Mac will check to make sure that Mono is installed. If it is notinstalled, Pair to Mac will download and install the latest stable versionof Mono on the Mac.
Kingdom rush for pc download. Progress is indicated by various prompts, as shown by the followingscreenshots (click to zoom):
Pair to Mac upgrades Xamarin.iOS on the Mac to match the versioninstalled on the Windows machine.
Pair to Mac will not downgrade Xamarin.iOS on the Mac from alpha/betato stable. If you have Visual Studio for Mac installed, set yourrelease channel asfollows:
- If you use Visual Studio 2019, select the Stable updates channel inVisual Studio for Mac.
- If you use Visual Studio 2019 Preview, select the Alpha updateschannel in Visual Studio for Mac.
Progress is indicated by various prompts, as shown by the followingscreenshots (click to zoom):
Xcode tools and license
Pair to Mac will also check to determine whether Xcode has been installedand its license accepted. While Pair to Mac does not install Xcode, itdoes prompt for license acceptance, as shown in the following screenshots(click to zoom):
|Xcode||Install Check||License Acceptance|
Additionally, Pair to Mac will install or update various packagesdistributed with Xcode. For example:
The installation of these packages happens quickly and without a prompt.
These tools are distinct from the Xcode Command Line Tools, whichas of macOS 10.9 areinstalled with Xcode.
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Troubleshooting automatic Mac provisioning
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If you encounter any trouble using automatic Mac provisioning, take a lookat the Visual Studio 2019 IDE logs, stored in%LOCALAPPDATA%XamarinLogs16.0. These logs may contain error messagesto help you better diagnose the failure or get support.
Build iOS apps from the Windows command-line
Pair to Mac supports building Xamarin.iOS applications from the commandline. For example:
The parameters passed to
msbuild in the above example are:
ServerAddress– The IP address of the Mac build host.
ServerUser– The username to use when logging in to the Mac build host.Use your system username rather than your full name.
ServerPassword– The password to use when logging in to the Mac build host.
Visual Studio 2019 stores
msbuild in the following directory:C:Program Files (x86)Microsoft Visual Studio2019<Version>MSBuildCurrentBin
The first time Pair to Mac logs in to a particular Mac build host fromeither Visual Studio 2019 or the command-line, it sets up SSH keys. With thesekeys, future logins will not require a username or password. Newlycreated keys are stored in %LOCALAPPDATA%XamarinMonoTouch.
ServerPassword parameter is omitted from a command-line buildinvocation, Pair to Mac attempts to log in to the Mac build hostusing the saved SSH keys.
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This article described how to use Pair to Mac to connect Visual Studio 2019 to aMac build host, enabling Visual Studio 2019 developers to build native iOSapplications with Xamarin.iOS.