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[SPARK-13264][Doc] Removed multi-byte characters in spark-env.sh.template #11149

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[SPARK-13264][Doc] Removed multi-byte characters in spark-env.sh.template #11149

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b8a3824
Removed multi-byte charactors from spark-env.sh.tmplate
sasakitoa Feb 10, 2016
5507bd0
Replace multi-byte characters
sasakitoa Feb 10, 2016
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2 changes: 1 addition & 1 deletion R/pkg/R/serialize.R
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Expand Up @@ -54,7 +54,7 @@ writeObject <- function(con, object, writeType = TRUE) {
# passing in vectors as arrays and instead require arrays to be passed
# as lists.
type <- class(object)[[1]] # class of POSIXlt is c("POSIXlt", "POSIXt")
# Checking types is needed here, since ‘is.na’ only handles atomic vectors,
# Checking types is needed here, since 'is.na' only handles atomic vectors,
# lists and pairlists
if (type %in% c("integer", "character", "logical", "double", "numeric")) {
if (is.na(object)) {
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2 changes: 1 addition & 1 deletion conf/spark-env.sh.template
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Expand Up @@ -41,7 +41,7 @@
# - SPARK_EXECUTOR_MEMORY, Memory per Executor (e.g. 1000M, 2G) (Default: 1G)
# - SPARK_DRIVER_MEMORY, Memory for Driver (e.g. 1000M, 2G) (Default: 1G)
# - SPARK_YARN_APP_NAME, The name of your application (Default: Spark)
# - SPARK_YARN_QUEUE, The hadoop queue to use for allocation requests (Default: ‘default’)
# - SPARK_YARN_QUEUE, The hadoop queue to use for allocation requests (Default: 'default')
# - SPARK_YARN_DIST_FILES, Comma separated list of files to be distributed with the job.
# - SPARK_YARN_DIST_ARCHIVES, Comma separated list of archives to be distributed with the job.

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2 changes: 1 addition & 1 deletion docs/sql-programming-guide.md
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Expand Up @@ -2389,7 +2389,7 @@ let user control table caching explicitly:
CACHE TABLE logs_last_month;
UNCACHE TABLE logs_last_month;

**NOTE:** `CACHE TABLE tbl` is now __eager__ by default not __lazy__. Don’t need to trigger cache materialization manually anymore.
**NOTE:** `CACHE TABLE tbl` is now __eager__ by default not __lazy__. Don't need to trigger cache materialization manually anymore.

Spark SQL newly introduced a statement to let user control table caching whether or not lazy since Spark 1.2.0:

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2 changes: 1 addition & 1 deletion mllib/src/test/scala/org/apache/spark/ml/regression/LinearRegressionSuite.scala
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Expand Up @@ -956,7 +956,7 @@ class LinearRegressionSuite
V1 -3.7271 2.9032 -1.284 0.3279
V2 3.0100 0.6022 4.998 0.0378 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for gaussian family taken to be 17.4376)

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2 changes: 1 addition & 1 deletion sql/README.md
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Expand Up @@ -5,7 +5,7 @@ This module provides support for executing relational queries expressed in eithe

Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst’s logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

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