In Amazon data pipeline, I am creating activity to copy S3 to EMR using Hive.
To achieve it I have to pass two input parameters into EMR job as a step.
I have searched all most every data pipeline documentation but did not found the way to specify the multiple input parameters.
I also talk with the AWS support team but they are also not clear about it. The way/trick they suggested also not working.
Below is my step arguments and Hive query. Please let me know if anyone has idea to achieve it.
Steps:
s3://us-east-1.elasticmapreduce/libs/script-runner/script-runner.jar,s3://us-east-1.elasticmapreduce/libs/hive/hive-script,--base-path,s3://us-east-1.elasticmapreduce/libs/hive/,--hive-versions,latest,--run-hive-script,--args,-f,s3://gwbpipeline-test/scripts/multiple_user_sample_new.hql, -d, "output1=#{output.directoryPath}", -d,"input1=s3://gwbpipeline-test/temp/sb-test/#{format(#scheduledStartTime,'YYYY-MM-dd hh-mm-ss')}/input/tbl_users/", -d,"input2=s3://gwbpipeline-test/temp/sb-test/#{format(#scheduledStartTime,'YYYY-MM-dd hh-mm-ss')}/input/tbl_user_children/"
Hive Query:
drop table if exists tbl_users;
CREATE EXTERNAL TABLE tbl_users (
user_id string, user_first_name string, user_last_name string, user_email string, user_dob string)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
LOCATION '${input1}';
drop table if exists tbl_user_children;
CREATE EXTERNAL TABLE tbl_user_children (
id string, full_name string, birthday string, type string, user_id string, facebook_id string, date_added string
)ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
LOCATION '${input2}';
drop table if exists tbl_users_child_output;
CREATE EXTERNAL TABLE userS3output (
user_id string, user_fname string, user_lname string, child_full_name string, child_dirthdate string )
ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
LOCATION '${output1}';
INSERT INTO TABLE tbl_users_child_output SELECT u.user_id, u.user_first_name, u.user_last_name, c.full_name, c.birthday FROM tbl_users as u join tbl_user_children as c ON u.user_id = c.user_id;
I was able to get this to work using the following format on step field of EMRActivity:
Basically I changed -d with -hiveconf. Also changed substitution in hive script from to. I think this is a change made on newer version of hive.
Below is the changed working code:
s3://us-east-1.elasticmapreduce/libs/script-runner/script-runner.jar,s3://us-east-1.elasticmapreduce/libs/hive/hive-script,--base-path,s3://us-east-1.elasticmapreduce/libs/hive/,--hive-versions,latest,--run-hive-script,--args,-f,s3://gwbpipeline-test/scripts/multiple_user_sample_new.hql, -hiveconf, "output1=#{output.directoryPath}", -hiveconf,"input1=s3://gwbpipeline-test/temp/sb-test/#{format(#scheduledStartTime,'YYYY-MM-dd hh-mm-ss')}/input/tbl_users/", -hiveconf,"input2=s3://gwbpipeline-test/temp/sb-test/#{format(#scheduledStartTime,'YYYY-MM-dd hh-mm-ss')}/input/tbl_user_children/"
HIVE Query:
table if exists tbl_users;
CREATE EXTERNAL TABLE tbl_users (
user_id string, user_first_name string, user_last_name string, user_email string, user_dob string)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
LOCATION '${hiveconf:input1}';
drop table if exists tbl_user_children;
CREATE EXTERNAL TABLE tbl_user_children (
id string, full_name string, birthday string, type string, user_id string, facebook_id string, date_added string
)ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
LOCATION '${hiveconf:input2}';
drop table if exists tbl_users_child_output;
CREATE EXTERNAL TABLE userS3output (
user_id string, user_fname string, user_lname string, child_full_name string, child_dirthdate string )
ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
LOCATION '${hiveconf:output1}';
INSERT INTO TABLE tbl_users_child_output SELECT u.user_id, u.user_first_name, u.user_last_name, c.full_name, c.birthday FROM tbl_users as u join tbl_user_children as c ON u.user_id = c.user_id;
Hope this helps to someone.
Related
I encountered the following problem:
I created a Hive table in an EMR cluster in HDFS without partitions
and loaded a data to it.
I created another Hiva table based on the
table from the paragraph#1 but with partitions from the datetime
column: PARTITIONED BY (year STRING,month STRING,day STRING).
I loaded a data from the non partitioned table into partitioned table and get the valid result.
I created an Athena database and table with the same structure as Hive table.
I copied partitioned files from HDFS locally and by aws s3 sync transferred all files into S3 empty bucket. All files were transferred without error and with the same order as in Hive directory in HDFS.
I loaded partitions by MSCK REPAIR TABLE and didn't get any error in an output.
After that I found that many values got indentation, for example a value that need to be in the "IP" column was in "Operating_sys" column and etc.
My scripts are:
-- Hive tables
SET hive.exec.dynamic.partition = true;
SET hive.exec.dynamic.partition.mode = nonstrict;
CREATE EXTERNAL TABLE IF NOT EXISTS cloudfront_logs_page_part
(
log_DATE STRING,
user_id STRING,
page_path STRING,
referer STRING,
tracking_referer STRING,
medium STRING,
campaign STRING,
source STRING,
visitor_id STRING,
ip STRING,
session_id STRING,
operating_sys STRING,
ad_id STRING,
keyword STRING,
user_agent STRING
)
PARTITIONED BY
(
`year` STRING,
`month` STRING,
`day` STRING
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
LOCATION '/user/admin/events_partitioned';
CREATE EXTERNAL TABLE IF NOT EXISTS cloudfront_logs_event_part
(
log_DATE STRING,
user_id STRING,
category STRING,
action STRING,
label STRING,
value STRING,
visitor_id STRING,
ip STRING,
session_id STRING,
operating_sys STRING,
extra_data_json STRING
)
PARTITIONED BY
(
`year` STRING,
`month` STRING,
`day` STRING
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
LOCATION '/user/admin/pages_partitioned';
INSERT INTO TABLE cloudfront_logs_page_part
PARTITION
(
`year`,
`month`,
`day`
)
SELECT
log_DATE,
user_id,
page_path,
referer,
tracking_referer,
medium,
campaign,
source,
visitor_id,
ip,
session_id,
operating_sys,
ad_id,
keyword,
user_agent,
year(log_DATE) as `year`,
month(log_DATE) as `month`,
day(log_DATE) as `day`
FROM
cloudfront_logs_page;
INSERT INTO TABLE cloudfront_logs_event_part
PARTITION
(
`year`,
`month`,
`day`
)
SELECT
log_DATE,
user_id,
category,
action,
label,
value,
visitor_id,
ip,
session_id,
operating_sys,
extra_data_json,
year(log_DATE) as `year`,
month(log_DATE) as `month`,
day(log_DATE) as `day`
FROM
cloudfront_logs_event;
-- Athena tables
CREATE DATABASE IF NOT EXISTS test
LOCATION 's3://...';
DROP TABLE IF EXISTS test.cloudfront_logs_page_ath;
CREATE EXTERNAL TABLE IF NOT EXISTS powtoon_hive.cloudfront_logs_page_ath (
log_DATE STRING,
user_id STRING,
page_path STRING,
referer STRING,
tracking_referer STRING,
medium STRING,
campaign STRING,
source STRING,
visitor_id STRING,
ip STRING,
session_id STRING,
operating_sys STRING,
ad_id STRING,
keyword STRING,
user_agent STRING
)
PARTITIONED BY (`year` STRING,`month` STRING, `day` STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
LOCATION 's3://.../';
DROP TABLE IF EXISTS test.cloudfront_logs_event_ath;
CREATE EXTERNAL TABLE IF NOT EXISTS test.cloudfront_logs_event_ath
(
log_DATE STRING,
user_id STRING,
category STRING,
action STRING,
label STRING,
value STRING,
visitor_id STRING,
ip STRING,
session_id STRING,
operating_sys STRING,
extra_data_json STRING
)
PARTITIONED BY (`year` STRING,`month` STRING, `day` STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
LOCATION 's3://.../';
What can be wrong? Table structure? Athena metadata?
The easiest method would be to convert your raw files directly into a partitioned Parquet columnar format. This has the benefit of partitioning, columnar storage, predicate push-down and all those other fancy words.
See: Converting to Columnar Formats - Amazon Athena
I have created an external table as below:
create external table if not exists complaints (date_received string, product string, sub_product string, issue string, sub_issue string, consumer_complaint_narrative string, state string, company_public_response string, company varchar(50), zipcode int, tags string, consumer_consent_provided string, submitted_via string, date_sent_company string, company_response string, timely_response string, consumer_disputed string, complaint_id int) row format delimited fields terminated by ',' stored as textfile location 'hdfs:hostname:8020/complaints/';
Now I want to create another table complaints_new with partition as state and have all the data from above table. How can this be acheived?
I tried the below:
create external table if not exists complaints_new (date_received string, product string, sub_product string, issue string, sub_issue string, consumer_complaint_narrative string, company_public_response string, company varchar(50), zipcode int, tags string, consumer_consent_provided string, submitted_via string, date_sent_company string, company_response string, timely_response string, consumer_disputed string, complaint_id int) partitioned by (state varchar(20)) row format delimited fields terminated by ',' stored as textfile location 'hdfs://hostname:8020/complaints/';
SET hive.exec.dynamic.partition = true;
SET hive.exec.dynamic.partition.mode = nonstrict;
SET hive.mapred.mode = nonstrict;
insert into table complaints_new partition(state) select * from complaints;
The query is failing.
You have a few problems here... you are pointing to the same location which means that you will be reading and overwriting that location... the other problem is that Hive expect th partition column to be the last element in your list, it means that you cannot do select *, instead you have to select field to field and put the state and the end of your select statement
when we partition a table the columns on which the table is being partitioned are not mentioned in the create statement and separately used in the partitioned by.What is the reason behind this.
CREATE TABLE REGISTRATION DATA (
userid BIGINT,
First_Name STRING,
Last_Name STRING,
address1 STRING,
address2 STRING,
city STRING,
zip_code STRING,
state STRING
)
PARTITION BY (
REGION STRING,
COUNTRY STRING
)
The partition that we create in hive makes a pseudocolumn on which we can query directly without having them in create statement.
So when we include partition column on the data of the table itself(create query) we will be getting error like 'Error in semantic analysis. Columns repeated in partitioning columns'
create table MY_DATA0(session_id STRING, userid BIGINT,date_time STRING, ip STRING, URL STRING ,country STRING, state STRING, city STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES
TERMINATED BY '\n' STORED AS TEXTFILE ;
LOAD DATA INPATH '/inputhive' OVERWRITE INTO TABLE MY_DATA0;
create table part0(session_id STRING, userid BIGINT,date_time STRING, ip STRING, URL STRING) partitioned by (country STRING, state STRING, city STRING)
clustered by (userid) into 256 buckets ROW FORMAT DELIMITED FIELDS
TERMINATED BY ',' LINES TERMINATED BY '\n' STORED AS TEXTFILE ;
\insert overwrite table part0 partition(country, state, city) select session_id, userid, date_time,ip, url, country, state,city from my_data0;
Overview of my dataset:
{60A191CB-B3CA-496E-B33B-0ACA551DD503},1331582487,2012-03-12
13:01:27,66.91.193.75,http://www.acme.com/SH55126545/VD55179433,United
States,Hauula,Hawaii
{365CC356-7822-8A42-51D2-B6396F8FC5BF},1331584835,2012-03-12
13:40:35,173.172.214.24,http://www.acme.com/SH55126545/VD55179433,United
States,El Paso,Texas
When I run the last insert script I get an error as :
java.lang.RuntimeException:
org.apache.hadoop.hive.ql.metadata.HiveFatalException: [Error 20004]:
Fatal error occurred when node tried to create too many dynamic
partitions. The maximum number of dynamic partitions is controlled by
hive.exec.max.dynamic.partitions and
hive.exec.max.dynamic.partitions.pernode. Maximum was set to: 100
PS:
I have set this two properties:
hive.exec.dynamic.partition.mode::nonstrict
hive.enforce.bucketing::true
Try setting those properties to higher values.
SET hive.exec.max.dynamic.partitions=100000;
SET hive.exec.max.dynamic.partitions.pernode=100000;
Partition columns should be mentioned at last in select statement.
Ex: if state is the partition column, then "insert into table t1 partition(state) select Id, name, dept, sal, state from t2"; this will work. For instance if my query is like this "insert into table t1 partition(state) select Id, name, dept,state, sal from t2;" then partitions will be created with salary(sal) column
I have created a table in Hive like this:
CREATE TABLE application_path
(userId STRING, sessId BIGINT, accesstime BIGINT, actionId STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '#'
STORED AS TEXTFILE;
Running on this table the query:
SELECT DISTINCT userId FROM application_path;
gives the expected result:
user1#domain.com
user2#domain.com
user3#domain.com
...
Then I've changed the declaration to add a partition:
CREATE TABLE application_path
(sessId BIGINT, accesstime BIGINT, actionId STRING)
PARTITIONED BY(userId STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '#'
STORED AS TEXTFILE;
Now the query SELECT DISTINCT userId... runs for seconds as before, but eventually returns anything.
I've just noticed the syntax:
SHOW PARTITIONS application_path;
but I was wondering if that's the only way to get unique (distinct) values from a partitioning column. The output of SHOW PARTITION is not even an exact replacement of what you would get from SELECT DISTINCT, since the column name is prefixed to each row:
hive> show partitions application_path;
OK
userid=user1#domain.com
userid=user2#domain.com
userid=user3#domain.com
...
What's strange to me is that usedId can be used in GROUP BY with other columns, like in:
SELECT userId, sessId FROM application_path GROUP BY userId, sessId;
but does return anything in:
SELECT userId FROM application_path GROUP BY userId;
I experienced the same issue, it will be fixed in 0.10
https://issues.apache.org/jira/browse/HIVE-2955